Browse Topic: Navigation and guidance systems

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Video 2 Scenario: A Novel Method to Generate Edge Case Traffic Scenarios from Dashcam Videos2026-26-06661/16/2026
This paper presents Video 2 Scenario, a systematic and cost-effective method to generate edge case scenarios derived from road events captured in dash camera videos. Current methods for obtaining real-world scenarios rely on supplementary sensor data like LiDAR, GPS and radar, which require expensive sensor setups for data collection. Other scenario generation methods rely on manual effort by human experts, which can be laborious and time-consuming. Our proposed methodology utilizes state-of-the-art deep learning models to extract vehicle trajectories, road layouts and other scenario-specific elements and reconstructs a scenario in the format of simulation scripts. The scripts are then refined by replaying the scenario multiple times in a simulation with attached virtual sensors to minimize the discrepancy between the subsequently obtained simulated video data and the original dash camera video data. The refined simulation scripts ensure that critical edge case scenarios are replicated
Ramalingam, Surya Prasath, Priyadarshi, Marut, Khan, Parvej, Kumar, Vaibhav, Pandey, Gaurav, Lohani, Bharat
Algorithm development for AI driven Path planning using Augmented reality for navigating in Indian complex road scenarios2026-26-00381/16/2026
The road infrastructure in India has complex navigational challenges, with 82% roads being unstructured according to Ministry of Roads Transports and Highways (MoRTH). Decision-making becomes a challenge for drivers in unpredictable environments such as narrow roads or sometimes flooded roads and heavy traffic. In this paper, an augmented reality (AR) driver assistance algorithm has been proposed that improves awareness to safely maneuver in these conditions.The methodology for development and validation of this AR algorithm contains multiple steps. Firstly, extensive data collection is conducted using real time capture and benchmark datasets like Berkeley Deep Drive (BDD) and Indian Driving Dataset (IDD). Secondly, A machine learning model consisting of the collected data are labelled and trained to rightly identify the complex scenario. In third step, an AR navigation algorithm is developed, integrating these models to accurately detect floods and estimate road widths and provide
Anandaraj, Prem Raj, Sivakumar, Vishnu, Thanikachalam, Ganesh, L, Radhakrishnan, Motoki, Yaginuma, Selvam, Dinesh Kumar
Swarm-Inspired Cooperative Mapping for Urban Autonomous Navigation2026-26-06351/16/2026
Urban autonomous vehicles today largely rely on individually built maps or centralized cloud services—both rigid under intermittent connectivity and rapid scene changes (construction, pop-up events). Inspired by how ant colonies collectively explore, we introduce a decentralized protocol: each vehicle broadcasts compressed “map particles” embedded with virtual pheromone values that highlight zones of high uncertainty or recent change. Neighboring vehicles incorporate these signals to prioritize sensing and route planning. A lightweight consensus algorithm merges local graphs into a shared dynamic map, resilient to network splits. The result, a bio-inspired SLAM that enables fleets to adapt on the fly to evolving cityscapes, boosting safety, efficiency, and robustness.
Bhargav, Anirudh S, Subbarao, Chitrashree
Identification of productive and non-productive activities in agricultural machinery using ECU and GPS parameters through the application of machine learning techniques2026-26-01021/16/2026
Any agricultural operation (such as cultivation, rotavation, ploughing, and harrowing) includes both effective work and non-productive activities (like transportation, stops, and idling) in the field. Non-productive work can distort the actual load profile, fuel consumption, and emissions. In this project, a machine learning-based methodology has been developed to differentiate between effective operations and non-productive activities, utilizing data collected in the field from data loggers installed on the machinery. Measurements were conducted on various machines across the country in all major applications to minimize the influence of any individual sample's deviation and to account for variability in customer operating practices. Nine critical parameters (Engine Speed, Exhaust Gas Temperature, THECU2, VPEXGAS, FULRAT, Actual Engine Percentage Torque, LBEGR, POIL & GPS Speed) were selected after screening & analyzing more than 100 CAN and GPS parameters. The critical parameters
Maharana, Devi prasad, Gangsar, Purushottam, gokhale, Varun, Pandey, Anand Kumar
Validation of 0D-1D Co-Simulation Strategies in Cold Climate for ‘Full EV Digital Vehicle’2026-26-04481/16/2026
Electric Vehicles is embedded with increased software algorithms coupled with several physical systems. It demands the efficacy of components which are linked together to build a system. The digital models reviewed in this paper are at system-level and full vehicle-level, comprising several components and control design, analysis, and optimization. Systems pertaining to each functionality such as, AC loop, E-Powertrain, HEVC, Cooling system, Battery Management System, Vehicle control system etc. together make an 'Integrated Digital Vehicle'. Fidelity of Intersystem co-simulation [AMESIM + SIMULINK] is key to validate the thermal and energy management strategies. This paper elucidates the correlation of Digital Vehicle compared to Test for Thermal Strategy in different driving scenarios and Energy management. Validation of Digital vehicle with 52kWh, 40kWh High Voltage Battery for Intercity Travel of Customer usage and WLTP for Cold condition of -7degC). Also, to evaluate range
Sarapalli Ramachandran, Raghuveeran, Srinivasan, Rangarajan, Saravanan, Vivek, Dutta, Souham, Pichon, Martin, Leclerc, Cedric, Guemene, Alexis-Scott
Connected Traffic Warnings for Enhanced Commercial Trucking Safety2026-26-06801/16/2026
Commercial trucking forms the backbone of global supply chains, but the consistently high number of truck-related fatalities emphasises the pressing need for enhanced safety systems. Connected safety systems present a significant opportunity to mitigate risks and prevent collisions by providing commercial vehicle operators with real-time hazard alerts. This paper delves into the operational mechanisms and potential benefits of such warning systems within the trucking industry. These systems function by establishing a network of connected vehicles capable of detecting and communicating hazardous situations through a centralised, cloud-based platform. By seamlessly integrating real-time telemetry data from individual trucks with information sourced from third-party providers, weather services, the system gains an understanding of prevailing road conditions. This allows for the identification of potential dangers such as traffic accidents, ongoing road construction or maintenance
Madarla, Manoj, George, Basil, Gangapuram, Siva, Hegde, Subrahmanya, Mukherjee, Shubhobroto, Dixith, Sampreetha, Hegde, Preetham
Path Planning and Control Strategies for a Semi-Autonomous Light Commercial Vehicle Navigating and Avoiding Static Obstacles in Urban Environments2026-26-01341/16/2026
This paper presents the design and implementation of a Semi-Autonomous Light Commercial Vehicle (LCV) capable of following a person while performing obstacle avoidance in urban and controlled environments. The LCV leverages its onboard 360-degree view camera, RTK-GNSS, Ultrasonic sensors, and algorithms to independently navigate the environment, avoiding obstacles and maintaining a safe distance from the person it is following. The proposed system employs a path planning algorithm that generates a secondary lateral path originating from the primary driving path to navigate around static obstacles. A Behavior Planner is utilized to decide when to generate the path and avoid obstacles, ensuring timely and efficient navigation adjustments. The primary objective is to ensure seamless and safe navigation in environments where obstacles are present. The LCV's path tracking is achieved using a combination of Pure Pursuit and Proportional-Integral (PI) controllers. The Pure Pursuit controller
Ayyappan, Vimal Raj, Dhanopia, Rashmi, Ali, Ashpak, N, Ragesh, Sato, Hiromitsu
Mapless Yet Accurate: Trajectory Prediction for traffic agents using online HD Map Reconstruction for Autonomous Driving2026-26-00391/16/2026
Accurate trajectory prediction of traffic agents is vital for enabling safer and more reliable autonomous driving. High-definition (HD) and standard-definition (SD) maps play a critical role in this process by providing detailed lane topology and directional cues essential for forecasting the movement of surrounding traffic agents. However, creating HD maps is both expensive and resource-intensive, often relying on complex SLAM systems and specialized sensors, while SD maps, though more readily available, lack the precision needed for accurate navigation in autonomous driving. In this work, we present a novel framework for trajectory prediction that uses online reconstruction of HD maps using images from vehicle-mounted cameras, offering a more scalable and cost-effective solution. Our method achieves notable improvements in prediction accuracy, especially in scenarios lacking access to pre-built maps. Additionally, we propose a new evaluation metric that emphasizes safety by
Upreti, Minali, Girijal, Rahul, B A, NaveenKumar, Thontepu, Phani, Ghosh, Shankhanil, Chakraborty, Bodhisattwa
Comparative Analysis and Implementation of data streaming methodologies for Vehicle Navigation Mode for Electric Trucks2026-26-06921/16/2026
In the realm of electric truck logistics, optimizing route planning is essential. This paper presents a key navigation feature for analyzing such optimized routes. Integrating map features into the drive mode improves user experience by offering real-time navigation and dynamic route adjustments based on traffic updates, road closures, and vehicle coordinates. This study compares the performance of Server sent events(SSE), web sockets and API polling methodologies, focusing on metrics such as data transmission efficiency, latency, resource utilization, scalability, and reliability. Our findings demonstrate the advantages and limitations of each method, providing insights into their suitability for real-time route optimization in electric truck logistics. The results highlight the potential of SSE in achieving efficient and timely data updates, contributing to more effective route planning and resource management. Additionally, we discuss how API Polling, Web sockets, and SSE each make
Bhandari, Mehul, Kaur, Prabhjot, DADOO, VISHAL, Mahendrakar, Shrinidhi, Ramanaiah, Rachala
Proactive AI-Enhanced Cybersecurity for Next-Gen Automotive Infotainment ECU2026-26-06191/16/2026
Abstract With the rapid advancement of connected vehicle technologies, infotainment Electronic Control Units (ECUs) have become central to user interaction and connectivity within modern vehicles. However, this enhanced functionality has introduced new vulnerabilities to cyberattacks. This paper explores the application of Artificial Intelligence (AI) in enhancing the cybersecurity framework of infotainment ECUs. The study introduces AI-powered modules for threat detection and response, presents an integrated architecture, and validates performance through simulation using MATLAB, CANoe, and NS-3. This approach addresses real-time intrusion detection, anomaly analysis, and voice command security. Key benefits include zero-day exploit resistance, scalability, and continuous protection via OTA updates. The paper references real-world automotive cyberattack cases such as Tesla's OTA vulnerability patches, BMW ConnectedDrive exploits, and Jeep Cherokee's Uconnect hack, emphasizing the
More, Shweta, Kulkarni, Shraddha, Kumar, Priyanshu, GHANWAT, HEMANT, Joshi, Vivek
Detect and Avoid function for UAVs using ACAS Xu for Non-Cooperative TargetsF-0081-2025-02745/20/2025
Advanced Air Mobility (AAM) is an innovative concept that aims to revolutionize air transportation through electric and unmanned aircraft, enabling applications such as urban air taxis and medical transport. However, one of the key challenges to its widespread adoption is ensuring safety, particularly in collision avoidance. This study focuses on the development of a perception and guidance system for avoiding collisions with non-cooperative targets, which do not share their position or trajectory. To achieve this, a Frequency-Modulated Continuous Wave (FMCW) radar and an InfraRed(IR) camera are used. Compared to traditional pulsed or panel radars, FMCW radars offer higher resolution, better detection of small and slow-moving objects, and improved performance in cluttered environments. The IR camera enhances situational awareness by providing visual confirmation and additional tracking capability, making this sensor fusion approach particularly suitable for AAM applications. Our
Brivio, Riccardo, Crippa, Anna, Baiguera, Matteo, Portanti, Samuele, Bertolo, Mattia
Design and Development of an Automated Flight Control System for Tilt-wing AircraftF-0081-2025-00595/20/2025
This paper presents the development and implementation of a complete flight control architecture for a 200kg-class tilt-wing eVTOL aircraft, designed and tested by Dufour Aerospace. The system enables fully automated flight across all regimes, including hover, transition, and cruise. A modular control architecture is described, incorporating a unified vehicle controller, envelope protection, and a guidance system. The control design leverages classical and modern techniques, including model-based synthesis, control allocation, and gain scheduling. A structured software development and validation pipeline is outlined, combining simulation, software- and hardware- in-the-loop testing, and flight testing on both subscale and full-scale platforms. Results from recent autonomous flight trials of the Aero2 aircraft demonstrate precise trajectory tracking and robust performance. The presented approach highlights the feasibility of rapid development cycles while maintaining high standards of
Cook, Jacob, Tataru, Daniel, Studiger, Matthias, Minkova-Walker, Mirela, Karadayi, Muscan, Schmid, Sebastian
Lessons Learned from the Analysis of North American Vertical Lift Accident and Incident Occurrence Data: Review of Civil Operations (2000 to 2024)F-0081-2025-03955/20/2025
This research analyzes flight safety occurrences such as incidents and accidents in the vertical lift community over the last two decades. A study of civil vertical lift occurrence data was performed for flight occurrences from 2000 to 2024. Focusing on North America (Canada, United States), research data was acquired from the respective government Transportation Safety Board agency of either country. The study data set consisted of 4623 occurrences (occ.) or observations (i.e.; 861 for Canada and 3762 for the United States). The research methodology involved a 6-step process to analyze data quantitatively (descriptive statistics) and qualitatively (trends, mitigation projections). For the study period, quantitative findings indicated occurrence rates (4.53 occ. per 100k flight hours (Canada); 3.39 occ. per 100k flight hours (United States)), occurrence rates of change (declining Canadian and United States rates (-2.3%/yr. & -2.2%/yr.) respectively), and occurrence event types (in
Alexander, Marc, Munson, Gene, Morry, Holly
OMNI-DIRECTIONAL AUTONOMOUS GUIDED VEHICLE (AGV) WITH WIRELESS NAVIGATION2024-01-343611/15/2024
ABSTRACT Automatic guided vehicles (AGV) have made big inroads in the automation of assembly plants and warehouse operations. There are thousands of AGV units in operation at OEM supplier and service facilities worldwide in virtually every major manufacturing and distribution sector. Although today’s AGV systems can be reconfigured and adapted to meet changes in operation and need, their adaptability is often limited because of inadequacies in current systems. This paper describes a wireless navigated (WN) omni-directional (OD) autonomous guided vehicle (AGV) that incorporates three technical innovations that address the shortfalls. The AGV features consist of: 1) A newly developed integrated wireless navigation technology to allow rapid rerouting of navigation pathways; 2) Omnidirectional wheels to move independently in different directions; 3) Modular space frame construction to conveniently resize and reshape the AGV platform. It includes an overview of the AGVs technical features
Cheok, Ka C, Radovnikovich, Micho, Fleck, Paul, Hallenbeck, Kevin, Grzebyk, Steve, Vanneste, Jerry, Ludwig, Wolfgang, Garner, Robert
GPS-BASED MOBILITY POWER ANALYSIS OF MILITARY VEHICLES2024-01-331111/15/2024
ABSTRACT Determining the required power for the tractive elements of off-road vehicles has always been a critical aspect of the design process for military vehicles. In recent years, military vehicles have been equipped with hybrid, diesel-electric drives to improve stealth capabilities. The electric motors that power the wheel or tracks require an accurate estimation of the power and duty cycle for a vehicle during certain operating conditions. To meet this demand, a GPS-based mobility power model was developed to predict the duty cycle and energy requirements of off-road vehicles. The dynamic vehicle parameters needed to estimate the forces developed during locomotion are determined from the GPS data, and these forces include the following: the gravitational, acceleration, motion resistance, aerodynamic drag, and drawbar forces. Initial application of the mobility power concept began when three U.S. military’s Stryker vehicles were equipped with GPS receivers while conducting a
Ayers, Paul, Bozdech, George
Complementary PNT with Fusion Artificial Intelligence Link Synchronization Array for eVTOL Systems (FAILSAFES™)F-0080-2024-10555/7/2024
Fusion Artificial Intelligence Link Synchronization Array for eVTOL Systems (FAILSAFES™) is a resilient and redundant timing and positioning architecture based on low Size, Weight, Power, and Cost (SWaP-C) RF Ranging links for eVTOL systems navigating with Global Navigation Satellite System (GNSS) in degraded or denied environments. This paper describes the overall FAILSAFES™ concept and discusses the underlying Complementary Positioning, Navigation, and Timing (CPNT) capabilities based on ENSCO's PicoRangerTM Array technology (PRAT). PRAT provides an array of low-cost RF ranging links between FAILSAFES™ ground stations and aircrafts to support navigation and timing distribution in GNSS degraded or denied environments. This paper will explore components of FAILSAFES™ and discuss initial PRAT based fusion results with respect to frequency and time stability.
Myrick, Wil, Matarese, Tom, Tolfree, Mike
Test and Evaluation of Image-Based Navigation for Shipboard Landing on the MQ-8C Fire Scout Unmanned Aircraft SystemF-0079-2023-181885/16/2023
Duehring, Doug, Gandhe, Avinash, Egan, Brendan
SAE.orgSAE-WSC-002799/21/2022
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Demo TitleSAE-WSC-002779/21/2022
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Deere advances in-field autonomy22TOFHP08_018/1/2022
While stereo cameras and computer vision guide Deere's “limited release” 8R autonomous tractor, Bear Flag's lidar tech will augment future machines. Q&A with Deere's Joe Liefer John Deere got “really serious” about autonomy in 2019, according to Joe Liefer, senior product manager of autonomy at John Deere Intelligent Solutions Group. Three years later - after forming an in-house development team and acquiring some tech-startup expertise - the machinery maker revealed a fully autonomous tractor at CES 2022 that it claims is ready for large-scale production. Based on Deere's 8R tractor, the machine combines a TruSet-enabled chisel plow, GPS guidance system, advanced AI and six pairs of stereo cameras that enable 360-degree obstacle detection and distance calculation. The autonomous 8R tractor also continuously checks its position relative to a geofence and is accurate to within less than 1 inch (25 mm), Deere claims. Farmers monitor and control it from a smartphone app.
Positioning to centimeter-level improves agriculture22TOFHP08_028/1/2022
Precision-navigation approaches that emphasize backward compatibility help farms reap more value from autonomous operations. Precision navigation, which is essential to autonomous machines, is knowing a moving vehicle's absolute and relative position in 3D space accurately, reliably and repeatably. The cost for precision navigation with position information down to the centimeter level has become a far less significant barrier to broad deployment. This price drop has come with enhanced, not diluted, performance. One reason for the cost decrease has to do with the sheer volume of Global Navigation Satellite System (GNSS) receivers on the market. GNSS encompasses the satellite-based GPS used in North America as well as other global positioning systems such as GPS, Galileo, Glonass, BeiDou, NAVIC (former IRNSS) and QZSS.
Fennelly, James
Operating the Navigation Database Server from Ground Station2022-26-12535/26/2022
Abstract The main aim of operating the navigation database server from ground station is to operate a single navigation database server across all aircrafts and navigation database updates can be performed at one place. which will be effective and quick, thus no need to update the navigation database in each flight for every 28 days. Existing System: Currently Collins FMS NDB architecture mainly contains three components, namely Navigation database server, Navigation database client (API) and Navigation database. FMS is responsible for creating Navigation database server, client connections, checking the database paths to ensure they are usable, handling errors and exceptions. Navigation Database contains a set of files and each file contains a set of records related to Airports runways and airways etc., Navigation database client is responsible for creating query messages based on user input and initiating search requests to the navigation database server and also it provides the
kollapudi, Sudheer
Vision-Based Collision free technique for Autonomous Navigation of MAV in GPS-denied Environments2022-26-12505/26/2022
The drone-based aerial platform offers various applications such as security and emergency response, delivery, defense, inspection, mapping, film, and entertainment. For safe driving, an automated vehicular navigation system (AVNS) must have a precise location. Although the vehicle location can be retrieved in GPS-friendly surroundings, the positioning accuracy of AVNS is easily reduced in GPS-denied environments (such as suburbs, tunnels, forests, and indoor scenarios). Researchers have already developed various methods to handle UAV navigation in GPS-less environments, such as Visual Odometry (VO) and Simultaneous Localization and Mapping (SLAM). This paper proposes a new Qualcomm Snapdragon referenced visual-inertial odometry (VIO) algorithm for indoor GPS-denied Micro Aerial Vehicle (MAV) navigation. The custom-built MAV is comprised of a hardware platform equipped with a VOXL flight companion computer, PX4 flight controller, pre-calibrated stereo and tracking sensors, a high
Duba, Prasanth Kumar
Autonomous UAV solution for ecological mapping and surveillance.2022-26-12455/26/2022
The proposed UAV can be used to triangulate the areas of unnatural deforestation, by processing the area undergoing land cover transition, hence, restraining illegal logging as well as illegal deforestation which will, in turn, feed the ecological succession cycle. It triangulates the green cover which can be used in identifying fruiting trees, vegetation cycles, even in predicting the population of the animal species feeding on the subjective green cover and hence, the biodiversity. The system will be influential for curbing the landscapes with heterogeneous habitats and diverse topographical features. The model employs an onboard automated controller- ARDUPILOT MissionPlanner, a flight controller with inbuilt compass, GPS, and telemetry module which collects data from the controller such as, Altitude, GPS location, Pitch, Roll, etc. and transmits it to the Ground Control Station (GCS) when flying. The mission planner is programmed by selecting the Target Survey Area which is divided
Devi, Monisha, Neigapula, Keerthana, Anand, Sumit, Tiwari, Anawil, Kumar, Siddharth
Geotagged Visual Localization System for Urban Automated Vehicles2022-01-01013/29/2022
Vehicle localization is one of the fundamental building blocks of Automated Driving Systems. Erroneous localization information may affect the ability of the vehicle to perceive the environment and plan a safe path to the desired destination. Although, high-end satellite navigation systems can provide centimeter-level accuracy, they are limited to applications where there is sufficient satellite signal visibility. One example where signals from navigational satellites might deteriorate is urban canyons which are characterized by high rise, high density residential and commercial buildings. To overcome the limitations of satellite navigation systems, most state-of-the-art localization solutions fuse information from multiple sensors such as GNSS, LiDAR, camera, accelerometer, and encoder with the purpose of creating a full 3D map of the operating environment. Although this approach provides accurate and reliable results, it is bounded in terms of data efficiency and scalability. With
AHRABIAN, ALIREZA, SOUFLAS, IOANNIS, SONGUR, NOYAN, NIELSEN, ERIK, Broughton, Caroline, Holmes, Chris
Hoping CAN DB approach for enhanced security2022-01-01263/29/2022
Controller Area Network (CAN) is very popular data transportation mechanism in all modern vehicles. CAN bus by design is not security oriented. It is an open communication with transparent messaging. Messages transmitted on bus can be easily read/decoded/spoofed by intruder This paper explores specific method of in-vehicle network security for CAN. This paper presents new method which is based on principal of changing CAN message ID’s during vehicle run time. This method uses vehicle sensors to change CAN message ID on bus. This paper also describes various possible combinations in which network sensors can be connected to various ECU on system. Also covered are aspects of timelines when these messages are shifted, how all ECUs sync with each other and participates in the encoding process. Paper covers below 3 aspects (A) System design System will be based on N number of different CAN database (DB) each having same messages with different ordering inside. All ECU’s involved in CAN bus
Kulkarni, Ashwin
Vehicle Collision Automatic Call System to safe the Fatal in Mid Way in Passenger Car 2022-01-00673/29/2022
In Midway, accidents are general in nature on the highways. Vehicles met with an accident are not saved in a faster way for the rescue. This system operates the signal from the airbag sensor, during the opening of the airbag at the time of the vehicle collision. An Electronic Control Unit (ECU) has been deployed to provide the information about the passenger mobile phone contacts and the nearest health cum rescue team with respect to the Global Positioning System installed in the vehicle. The signal from the airbag is indicating the dearer contacts and the health centres for the rapid recovery of the vehicle met with an accident. This ECU also monitors the health condition of the passengers for a safe ride. A transient study has been conducted with dummies in the four-passenger capacity car for the validation of this system performance. The damage caused to the passengers with respect to the impact, health issues such as pressure in the various points of the dummies and the vehicle has
B, Prabakaran, Chinni, Venkata Sai Sandeep, Chitta, Phani Kumar
Positional Accuracy of Portable GPS Devices during Different Ride Stages2022-01-09923/29/2022
GPS devices can produce a wealth of data about cyclists’, scooterists’, and other riders’ road paths and route usage. However, prior research has demonstrated that GPS positional accuracy is less reliable for more nuanced roadway positioning, such as which lane a vehicle occupies, as well as within-lane movements, such as acceleration and deceleration⁠. This limitation presents a substantial challenge for crash reconstructionists that may have access to GPS data and require second-by-second positional accuracy to determine such nuanced maneuvers and vehicle positioning in their analysis. The purpose of this study was to examine the positional accuracy of several GPS units during three different ride stages: acceleration, deceleration, and constant speed. The same devices were also tested for stationary accuracy, power cut-off, and simulated impact scenarios. To obtain precise data from GPS units, tests were performed with an electric scooter ridden in rural landscapes with clear skies
Desai, Elvis, Suway, Jeff, Engleman, Krystina, Vega, Henry
Automatic Alert System to enable safe ride and to prevent accidents in Two Wheelers and Three Wheelers2021-28-023310/1/2021
In Midway, accidents are general in nature on the highways. Vehicles meeting the accidents are not saved in a faster way for the rescue. This system operates the signal from the seat belt sensor, during the operation of the vehicle. An Electronic Control Unit (ECU) has been deployed to provide the information about the passenger mobile phone contacts and the nearest safety officer with respect to the Global Positioning System installed in the vehicle. The signal from the seat belt fastening system for the driver and the front seat passenger is indicating the dearer contacts and the health of the centers for the rapid recovery of the vehicle met with an accident. This ECU also monitors the health condition of the passengers for the safety ride with respect to the pressure and the temperature of the cabin to make the passenger a safe ride. 20 sensors are deployed in the seat belt and the signals from these sensors are fed into an electronic control unit for further processing. The
B, Prabakaran, Chinni, Venkata Sai Sandeep, Chitta, Phani Kumar
GUIDANCE FOR DISTRIBUTED RADIO ARCHITECTURESARINC678 (Current)7/15/2021
The purpose of this document is to evaluate Communication, Navigation, and Surveillance (CNS) Distributed Radio architectures and the feasibility of distributing the RF and systems processing sections to ensure the following: Reduce cost of equipment Reduce Size, Weight, and Power (SWaP) Ease of aircraft integration Growth capability built into the design Maintain or improve system availability, reliability, and maintainability It provides a framework to determine whether it is feasible to develop ARINC Standards that support CNS distributed radio architectures.
Airlines Electronic Engineering Committee
Aircraft Fluorescent Lighting Ballast/Fixture Safety StandardAS4914E (Current)6/10/2021
The purpose of this standard is to recommend minimum performance requirements to assist the specification writer in establishing a failsafe airplane interior Fluorescent light assembly design. This standard relates to the design of lamp ballasts, lampholders, fixtures, and installation of the same.
A-20C Interior Lighting
Aircraft Fluorescent Lighting Ballast/Fixture Safety StandardAS4914E-TEST-REC (Historical)6/10/2021
The purpose of this standard is to recommend minimum performance requirements to assist the specification writer in establishing a failsafe airplane interior Fluorescent light assembly design. This standard relates to the design of lamp ballasts, lampholders, fixtures, and installation of the same.
A-20C Interior Lighting
Evaluation of a CNN-based Visual Place Recognition system for GPS-denied Navigation of VTOL VehiclesF-0077-2021-168665/10/2021
ABSTRACT
Tennakoon, Kusal, Silva,  Oscar, Gosine,  Raymond, Maan,  George, Jayasiri, Awantha
New Tools & Technologies21AVEP05_105/1/2021
OmniVision Technologies (Santa Clara, Calif.) has unveiled the first group of OmniVision automotive image sensor families compatible with the modular NVIDIA (Santa Clara, Calif.) DRIVE AGX AI computing platform for self-driving vehicles. OmniVision created drivers and camera modules using its OX08B40 image sensor for front-view automotive applications, including ADAS and Level 3+ autonomous systems. Likewise, drivers and camera modules are now available for its OX03F10 and OX03C10 viewing camera image sensors, allowing the development of surround view systems (SVSs), rearview cameras (RVCs) and e-mirror camera monitoring systems with NVIDIA DRIVE. In addition, OmniVision's OV2311 and a new 5MP sensor are the exclusive driver monitoring system (DMS) image sensors for the NVIDIA DRIVE Hyperion turnkey evaluation architecture. Regardless of the application, OmniVision offers platform software drivers for its image sensors, as well as complete camera modules that customers can easily
Stepping Into SAE Level 321AVEP05_095/1/2021
Honda and Toyota release new advanced driver-assistance systems that help to demarcate - or blur - the differences between SAE Level 2 and Level 3 capability. Honda and Toyota each recently announced the release of new, more-sophisticated driver-assistance systems for a special range of vehicles available in Japan starting in March 2021. Honda attracted global attention in November 2020, when it announced the Honda Legend fitted with Honda Sensing Elite would be the first vehicle ever awarded “type designation” from Japan's Ministry of Land, Infrastructure, Transport and Tourism (MLIT) for a driver-assistance system of SAE Level 3 capability. The Legend is joined by Toyota's 2022 Mirai and Lexus LS500h equipped with Advanced Drive, a system that, according to the company, embodies its “Mobility Teammate Concept.” This is an automated driving concept unique to Toyota that “seeks to enhance communication between drivers and cars, enable them to reach out to each other for mutual assist
Visnic, Bill
Analysis of Vehicle GPS and Derived Speed Data from BMW NBT Evo Systems Acquired with Berla iVe2021-01-09064/6/2021
Many late-model BMW vehicles are equipped with an NBT Evo infotainment system. This system is seen in BMW vehicles in all global markets. Like infotainment systems from other manufacturers, this system records data elements that can prove to be key evidence to investigators of vehicular incidents. This system records timestamped tracklogs that consist of GPS coordinates paired with date/time data. These tracklog points, however, are not recorded in regular intervals. Testing of an instrumented BMW 430i was conducted in and around the Bruntingthorpe Proving Grounds in the United Kingdom. The test vehicle was instrumented with a Racelogic Video VBOX Pro. Data from the instrumentation was compared to the data acquired from the BMW by the iVe Ecosystem from Berla Corporation. The accuracy of the GPS coordinates recorded in the BMW tracklogs was determined by computing the distance between the recorded BMW data and the reference instrumentation data. The derived speeds computed in iVe from
Vandiver, Wesley, Anderson, Robert
Accuracy and Validation of Geotab GPS Fleet Tracking Devices2021-01-09084/6/2021
Fleet management companies have implemented tracking devices in their vehicles that employ Global Positioning Systems (GPS) in near real time for optimizing fuel consumption, smart routes, and for monitoring driving behavior. For this purpose, Geotab Inc. has developed the OBD-II connected Geotab GO device. These devices are capable of recording vehicle position and speed data using GPS. The present study seeks to validate and compare Geotab recorded data to data collected from a VBOX 3i RTK DGPS; this instrumentation will provide a reliable reference for vehicle position and speed. Additional data logging characteristics such as LTE connectivity, Geotab’s proprietary curve logging algorithm, near-real-time vehicle data, and speed interpolation were analyzed. This study considered two Geotab models, the GO8 and GO9. Both devices were connected in parallel using two sets of two-way splitters connected to the test vehicle’s OBD-II port. The GO8, GO9, and VBOX 3i RTK, logged data
Morales, Roberto C., Gamboa, Jason, Nguyen, Benjamin, Siddiqui, Omair, Bonsall, Jeffrey
Studies on Simulation and Real Time Implementation of LQG Controller for Autonomous Navigation2021-01-01084/6/2021
The advancement in embedded systems and positional accuracy with base station GPS modules created opportunity to develop high performance autonomous ground vehicles. However, the development of vehicle model and making accurate state estimations play vital role in reducing the cross track error. The present research focus on developing Linear Quadratic Gaussian (LQG) with Kalman estimator for autonomous ground vehicle to track various routes, that are made with the series of waypoints. The model developed in the LQG controller is a kinematic bicycle model, which mimics 1/5th scale truck. Further, the cubic spline fit has been used to connect the waypoints and generate the continuous desired/target path. The testing and implementation has been done at APS labs, MTU on the mentioned vehicle to study the performance of controller. Python has been used for simulations, controller coding and interfacing the sensors with controller. From the results, it has been confirmed that, the vehicle
Dudekula, Ahammad Basha, Naber, Jeffrey
Multi-Modal Neural Feature Fusion for Pose Estimation and Scene Perception of Intelligent Vehicle2021-01-01884/6/2021
The main challenge for future autonomous vehicles is to identify their location and body pose in real time during driving, that is, “where am I? and how will I go?”. We address the problems of pose estimation and scene perception from continuous visual frames in intelligent vehicle. Recent advanced technology in the domain of deep learning proposes to train some learning models for vehicle’s series detection tasks in a supervised or unsupervised manner, which has numerous advances over traditional approaches, mainly reflected in the absence of manual calibration and synchronization of the camera and IMU. In the paper, we propose a novel approach for pose estimation and scene recognition with a deep fusion of multi-modal neural features in the manner of unsupervised. Firstly, low-cost camera and IMU are used to extract original visual and inertial data, then the visual and inertial encoders are utilized to encoder the feature of the two modes. Then, a Long Short-Term Memory (LSTM) takes
Zhou, Aiguo, Li, Zhenyu, Pu, Jiakun, Yu, Jiangyang, Wei, Ronghui, Dong, Zhenbiao
The Sensing Systems That Make ADAS WorkTBMG-386363/1/2021
To find out the latest information about sensors for automated driving systems, I interviewed Alberto Marinoni, Director of Product Marketing, TDK/Invensense (San Jose, CA).
Counter-Drone TechnologyTBMG-385252/1/2021
Citadel Defense San Diego, CA 213-819-3380
Army and Universities Deploy New Warfighter Communication TechnologyTBMG-385412/1/2021
Researchers from the U.S. Army and the University of Maryland, College Park, have developed a controller for deploying robots that forms antenna arrays to maintain longer-range wireless communication. Antennas are distributed between mobile robots, allowing the controller to autonomously guide robots to create and maintain a reliable wireless communication network in challenging battlefield environments.
Counter-UAS TechnologyTBMG-385292/1/2021
SRC Inc. Syracuse, NY 315-452-8362
Sensing Magnetic FieldsTBMG-385112/1/2021
Innovators at NASA Armstrong developed an optical waveguide fiber Bragg grating (FBG) that is sensitive to an external magnetic field. The technology allows direct coupling of the external field to the electromagnetic (EM) wave propagating in the fiber, bypassing the need to first measure strain.
Products of Tomorrow: January 2021TBMG-383441/1/2021
This column presents technologies that have applications in commercial areas, possibly creating the products of tomorrow. To learn more about each technology, see the contact information provided for that innovation.
Facility Focus: Stanford University School of EngineeringTBMG-383311/1/2021
When Jane Lathrop Stanford and former California Governor Leland Stanford lost their only child to typhoid in 1884, they decided to build a university as the most fitting memorial. Leland Stanford Junior University — still its legal name — opened October 1, 1891 in Palo Alto, CA.
Cameras Capture Asteroid Debris RetrievalTBMG-383541/1/2021
Space Dynamics Laboratory Utah State University Logan, UT
Vehicle-Mounted Integrated Positioning System with Vondrak Low Pass Filter and Multi-Dynamic Constraints in Urban Shaded Environment2020-01-521412/30/2020
The Global Navigation Satellite System (GNSS) alone cannot provide high-precision and continuous positioning information for vehicles. The integration of GNSS with Inertial Navigation Systems (INS) has now been very intensively developed and widely applied in high precision positioning of vehicle and provide continuous position, velocity and attitude. However, the overall performance of low-cost GNSS/MEMS IMU frequently degrades in urban shaded environments. Traditional constraints GNSS/MIMU algorithm based on zero-velocity detection can effectively increase the accuracy of the navigation system, but easily influenced by external factors to false detection. This article aims to introduce a multi-dynamic constraints model as accurate update source for EKF to improve the accuracy of navigation solutions of a vehicle during satellites signal blockages. Firstly, we present a tightly coupled strategy to integrate GPS/BDS and INS by applying extended Kalman filter with 27-states. Then, a
Ning, Yipeng, Wang, Shida, Yang, Tao, Wang, Jinliang, He, Meiling
Tethered Drones Improve Cellular and Internet NetworksTBMG-3818812/1/2020
The use of tethered unmanned aerial vehicles (TUAVs) has been modeled as a powerful new tool for improving cellular phone and Internet networks. When employed as flying base stations with a cable connection, multirotor drones could quickly ramp up coverage, increase the efficiency of urban networks, and provide much needed access in remote rural areas.
Jacobs School of Engineering, University of California San DiegoTBMG-3821112/1/2020
Engineering at the University of California San Diego (UCSD) in La Jolla started in 1964 and 1965 with two broad applied science departments: one in the areas of aerospace engineering, solid mechanics, bioengineering and materials and the other in the areas of electronics, information theory, and radio astronomy. In 1997, the School of Engineering was renamed the Jacobs School of Engineering to honor Qualcomm founder and former UCSD engineering professor Irwin Jacobs and his wife.
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