Browse Topic: Radar

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SAE TOMORROW TODAY: How AI Alignment Makes AVs Safer1349501/10/2025
In order for AVs to perform safely and reliably, we need to teach them the language of human preference and expectations--and accelerating AI alignment can do just that. Enter Kognic, the industry-leading annotation platform for sensor-fusion datasets (e.g., camera, radar, and LIDAR data). By helping companies gather, organize, and refine massive datasets used for training AI models, Kognic is helping to ensure that AD/ADAS perform reliably and meet safety standards--all while minimizing costs and optimizing teams. To learn more, we sat down with Daniel Langkilde, Co-Founder and CEO, to discuss why the future of autonomous driving depends on effectively managing AI-driven datasets and how Kognic is leading dataset management for safety-critical AI. We'd love to hear from you. Share your comments, questions and ideas for future topics and guests to podcast@sae.org. Don't forget to take a moment to follow SAE Tomorrow Today--a podcast where we discuss emerging technology and trends in
Hineman, Marcie
A Novel Method to Select Hyperparameters of The DBSCAN Algorithm for RADAR Applications2024-26-003001/16/2024
Abstract- As the automotive industry is coming up with various ADAS solutions, RADAR is playing an important role. There are many parameters concerning RADAR detections to acknowledge. Unsupervised Clustering methods are used for RADAR applications. DBSCAN clustering method which is widely used for RADAR applications. The existing clustering DBSCAN is not aligned very well with its hyperparameters such as epsilon (the radius within which each data point checks the density) and minimum points (minimum data points required within a circle to check for core point) for which a calibration is needed. In this paper, different methods to choose the hyperparameters of DBSCAN are compared and verified with different clustering evaluation criteria. A novel method to select hyperparameters of the DBSCAN algorithm is presented with the paper. For testing the given algorithm, ground truth data is collected, and the results are verified with MATLAB-Simulink. Keywords- (clustering, DBSCAN, DBSCAN
Payghan, Vaibhav Santosh, Prajapati, Miit, Chauhan, Abhisha
Automotive RADAR Sensor Modeling with Multi-scale Electromagnetic Field Solvers2022-01-008103/29/2022
RADAR Sensors are going to be an integral part of autonomous vehicles. One of the main objectives of these sensors in autonomous vehicles is to get the doppler range profile for surrounding traffic. In this paper, we use a similar RADAR for ground speed sensing in the off-highway scenario. There are several challenges in integrating the RADAR sensor with vehicles such as sensor position from ground, location on vehicle, electromagnetic interference with other electronic devices, enclosure design etc. Ground conditions and properties are also critical in the off-highway scenario for speed sensing. We propose to use the physics based electromagnetic field solvers to understand and mitigate some of these challenges and speed up the design. Electromagnetic field solvers tend to scale poorly with distance of propagation, especially in 3D modeling. The computational cost increases dramatically, when wave propagation over multiple wavelengths is desired with FEM type solvers due to
Badgujar, Swapnil Eknathrao
SAE TOMORROW TODAY: The Enablers of Automation: Sensor Innovation from Spartan Radar1317412/03/2021
Radar systems that use AI to dynamically and adaptively scan the environment based on changing conditions have been science-fact - not science-fiction - for more than a decade. But the current systems are just scratching the surface. Spartan Radar's Tyler Rather, Chief Technology Officer, and Robert Brown, Chief Strategy Officer, discuss their team's work to develop high-resolution radar AI that emulates human perception models and achieves lightning-fast processing and focus - and a revolutionary sensor fusion technology they believe could be as influential as Ford's Model T. Stay updated on the latest software innovations from Spartan Radar: https://spartanradar.com/
Hineman, Marcie
Research on High-efficiency Test Method of Vehicle AEB based on High-precision Detection of Radar Turntable Encoder2021-01-127310/11/2021
With the increasingly complex traffic environment, the vehicle AEB system needs to go through a large number of testing processes, in order to drive more safely on the road. For speeding up the development process of AEB and solve the problems of long cycle, high cost and low efficiency in AEB testing, in this paper, a millimeter wave radar turntable is built, and a high-precision detection algorithm of turntable encoder is designed, at the same time, a test method of vehicle AEB based on the detection data of radar turntable encoder is designed. The verification results show that methods described in this paper can be used to develop the vehicle AEB test algorithm efficiently.
Li, Kun, Cao, Guohua, Ding, Hongchang, Hou, Han, Li, Xin
Atom-Based Radio CommunicationsTBMG-3979709/01/2021
Researchers demonstrated an atom-based sensor that can determine the direction of an incoming radio signal, another key part for a potential atomic communications system that could be smaller and work better in noisy environments than conventional technology.
Dynamically Adjustable LiDAR with SPAD Array and Scanner2021-01-009104/06/2021
An important function of an Automated Driving (AD) system is to detect objects including vehicles and pedestrians on the road. Typical devices for detecting those objects include cameras, millimeter-wave RADAR, and light detection and ranging (LiDAR). LiDAR uses the flight time of a short-wavelength electromagnetic wave. Because of that LiDAR is expected to find even small objects such as tire fragments on a road in high resolution. The detection performance required for LiDAR depends on the operational design domain (ODD). For example, while a vehicle is travelling at high speeds, LiDAR needs to detect apparently small objects at long distances, and while it is travelling at low speeds, LiDAR has to detect objects over a wide angular range. Conventional LiDAR is developed to satisfy all requirements, providing performance including detection distance, resolution, and angle of view tends to expose issues such as cost and size when it is mounted onboard. To solve these problems, we have
Nakajima, Masato, Hata, Takehiro, Ueno, Akifumi, Ozaki, Noriyuki, Mizuno, Fumiaki, Kashiwada, Shinji, Yanai, Kenichi
Object Detection and Tracking for Autonomous Vehicles in Adverse Weather Conditions2021-01-007904/06/2021
Object detection and tracking is a central aspect of perception for autonomous vehicles. While there has been significant development in this field in recent years, many perception algorithms still struggle to provide reliable information in challenging weather conditions which include night-time, direct sunlight, glare, fog, etc. To achieve full autonomy, there is a need for a robust perception system capable of handling such challenging conditions. In this paper, we attempt to bridge this gap by proposing an algorithm that combines the strength of automotive radars and infra-red thermal cameras. We show that these sensors complement each other well and provide reliable data in poor visibility conditions. We demonstrate the advantages of a thermal camera over a visible-range camera in these situations and employ YOLOv3 for object detection. The proposed system utilizes a modified Track-Oriented Multiple Hypothesis Tracking (MHT) algorithm which uses data from these sensors to keep
Bhadoriya, Abhay Singh, Vegamoor, Vamsi Krishna, Rathinam, Sivakumar
SAE TOMORROW TODAY: Self-Driving For The Long Haul with Kodiak Robotics1293102/19/2021
Kodiak Robotics is delivering more than freight, it's delivering the future. We spoke with Andreas Wendel, Vice President of Engineering at Kodiak Robotics, to discuss how they became a developer of reliable, highway-tested, self-driving long haul trucks and the elements required to create safe vehicles that perform consistently, delivering freight to commercial customers with a 100% on-time delivery record. Discover the difference between range of visibility and range of confidence across cameras, lidar and radar, and why this three-pronged approach allows Kodiak to develop the software and technology that enables zero disengagements across 800 miles.
Hineman, Marcie
Air Force Technology Tracks “Sporadic E”TBMG-3823812/01/2020
Researchers at the Air Force Research Laboratory (AFRL) in New Mexico have discovered a new way to track and characterize a phenomenon called “Sporadic E” that naturally occurs in the upper atmosphere where large structures of dense plasma form. These plasma structures, which occur at midlatitude locations around the world, disrupt radio frequency (RF) electromagnetic waves (or simply “radio waves”) and impact both DoD and civilian radio systems in positive and negative ways, depending on the application.
Vote for Tech Briefs Product of the Year 2020TBMG-3820512/01/2020
Each month, our editors choose a Product of the Month that has exceptional technical merit and practical value for our design engineering readers. Those 12 products are the nominees for the 2020 Tech Briefs Readers’ Choice Product of the Year.
Radar Enables Cars to Spot Hazards Around CornersTBMG-3798511/01/2020
A new radar system, easily integrated into today’s vehicles, uses Doppler radar to bounce radio waves off surfaces such as buildings and parked automobiles. The radar signal hits the surface at an angle, so its reflection rebounds off like a cue ball hitting the wall of a pool table. The signal goes on to strike objects hidden around the corner. Some of the radar signal bounces back to detectors mounted on the car, allowing the system to see objects around the corner and tell whether they are moving or stationary.
“One-Way” Electronic DevicesTBMG-3779910/01/2020
Waves — whether they are light waves, sound waves, or any other kind — travel in the same manner in forward and reverse directions. This is known as the principle of reciprocity. If waves could be routed in one direction only — breaking reciprocity — many applications could be transformed by enabling “one-way” components such as circulators and isolators that enable two-way communication, which could double the data capacity of today's wireless networks. These components are essential to quantum computers that read a qubit without disturbing it. They are also critical to radar systems in self-driving cars or those used by the military.
Making Data Logging, Replay and Prototyping More Efficient20AVEP07_0507/01/2020
High levels of continuity and compatibility are vital to avoid interruptions in the development process - and reduce cost. The development of advanced driver assistance (ADAS) and highly automated driving systems poses great challenges for OEM and supplier engineers. It is important, therefore, that powerful, flexibly configurable development systems optimally support the various use cases in data-driven development to make it as efficient as possible. In the case of functionality for both ADAS autonomous driving, the chain of effects can be divided into several steps, starting with environment detection with the aid of extensive sensor technology - including camera, radar, lidar and ultrasonics - and ending with the final implementation of the driving strategy and actuator control (Fig. 2).
Mertens, Frank, Müller, Marius
Radar Testing with an O-scope20AVEP07_0907/01/2020
Four-channel oscilloscopes are ideal for characterizing the new generation of automotive radar sensors, as two experts explain. A new generation of compact radar sensors with long range and high resolution is under development for automated driver-assistance systems (ADAS) and future fully autonomous vehicles. Operating in the frequency range from 76 GHz to 81 GHz, these sensors use phased-array antennas to obtain location information. The accuracy of the obtained data is directly correlated to the accuracy of the relative phase angles of the emitted signals, making precise adjustment of the antenna system a crucial factor for precision. Characterization of these sensors in the development phase requires sophisticated testing and measurement equipment due to the high frequencies. Oscilloscopes are ideal for this because they can simultaneously analyze multiple signals and precisely compare them. While some spectrum analyzers offer dynamic range and sophisticated analysis features, they
Flemming, Ernst, Ritter, Andreas
Battle Command SystemTBMG-3710106/01/2020
Northrop Grumman Corp. Falls Church, VA 703-280-2900
Development of a Procedure to Correlate, Validate and Confirm Radar Characteristics of Surrogate Targets for ADAS Testing2020-01-071604/14/2020
Surrogate targets are used throughout the automotive industry to safely and repeatably test Advanced Driver Assistance Systems (ADAS) and will likely find similar applications in tests of Automated Driving Systems. For those test results to be applicable to real-world scenarios, the surrogate targets must be representative of the real-world objects that they emulate. Early target development efforts were generally divided into those that relied on sophisticated radar measurement facilities and those that relied on ad-hoc measurements using automotive grade equipment. This situation made communication and interpretation of results between research groups, target developers and target users difficult. SAE J3122, “Test Target Correlation - Radar Characteristics”, was developed by the SAE Active Safety Systems Standards Committee to address this and other challenges associated with target development and use. J3122 addresses four topics. First, it describes standardized equipment and
Silberling, Jordan, Nicols, George, Buller, William, Lenkeit, John
Research on Tracking Algorithm for Forward Target-Vehicle Using Millimeter-Wave Radar2020-01-070204/14/2020
In order to solve such problems that the millimeter-wave radar is of large computation, poor robustness and low precision of the target tracking algorithm, this paper presents an algorithmic framework for millimeter-wave radar tracking of target-vehicles. The target measurement information outside the millimeter- wave radar detection range is eliminated by the data plausibility judgment method based on the millimeter-wave radar detection parameters. Target clustering is made using Manhattan distance, to eliminate clutter interference and cluster multiple target measurements into one. The data association is made by use of nearest neighbor to determine the correspondence between information received measured by the radar and the real target. The vehicle is the key detection target of the vehicle millimeter-wave radar during road driving. These target-vehicles generally have no vertical movement or small moving speed in the vertical direction, so only the movement of the target-vehicle
Song, Shiping, Wu, Jian, Yang, Yu, He, Rui, Chen, Xuesong, Li, Xin
Autonomous Vehicle Multi-Sensors Localization in Unstructured Environment2020-01-102904/14/2020
Autonomous driving in unstructured environments is a significant challenge due to the inconsistency of important information for localization such as lane markings. To reduce the uncertainty of vehicle localization in such environments, sensor fusion of LiDAR, Radar, Camera, GPS/IMU, and Odometry sensors is utilized. This paper discusses a hybrid localization technique developed using: LiDAR-based Simultaneous Localization and Mapping (SLAM), GPS/IMU, Odometry data, and object lists from Radar, LiDAR, and Camera sensors. An Extended Kalman Filter (EKF) is utilized to fuse data from all sensors in two phases. In the preliminary stage, the SLAM-based vehicle coordinates are fused with the GPS-based positioning. The output of this stage is then fused with the object-based localization. This approach was successfully tested on FEV’s Smart Vehicle Demonstrator at FEV’s HQ. It represented a complicated test environment with dynamic and static objects. The test results show that multi-sensor
Alrousan, Qusay, Alzu'bi, Hamzeh, Pfeil, Andrew, Tasky, Tom
Robust Sensor Fused Object Detection Using Convolutional Neural Networks for Autonomous Vehicles2020-01-010004/14/2020
Environmental perception is considered an essential module for autonomous driving and Advanced Driver Assistance System (ADAS). Recently, deep Convolutional Neural Networks (CNNs) have become the State-of-the-Art with many different architectures in various object detection problems. However, performances of existing CNNs have been dropping when detecting small objects at a large distance. To deploy any environmental perception system in real world applications, it is important that the system achieves high accuracy regardless of the size of the object, distance, and weather conditions. In this paper, a robust sensor fused object detection system is proposed by utilizing the advantages of both vision and automotive radar sensors. The proposed system consists of three major components: 1) the Coordinate Conversion module, 2) Multi level-Sensor Fusion Detection (MSFD) system, and 3) Temporal Correlation filtering module. The proposed MSFD system employs the principles of artificial
Park, Jungme, Jayachandran Raguraman, Sriram, Aslam, Aakif, Gotadki, Shruti
IMM-KF Algorithm for Multitarget Tracking of On-Road Vehicle2020-01-011704/14/2020
Tracking vehicle trajectories is essential for autonomous vehicles and advanced driver-assistance systems to understand traffic environment and evaluate collision risk. In order to reduce the position deviation and fluctuation of tracking on-road vehicle by millimeter-wave radar (MMWR), an interactive multi-model Kalman filter (IMM-KF) tracking algorithm including data association and track management is proposed. In general, it is difficult to model the target vehicle accurately due to lack of vehicle kinematics parameters, like wheel base, uncertainty of driving behavior and limitation of sensor’s field of view. To handle the uncertainty problem, an interacting multiple model (IMM) approach using Kalman filters is employed to estimate multitarget’s states. Then the compensation of radar ego motion is achieved, since the original measurement is under the radar polar coordinate system. Taking into account the real-time performance of the algorithm and the distinguishability of vehicles
Xu, Puhang, Xiong, Lu, Zeng, Dequan, Deng, Zhenwen, Li, Zhuoren
Modeling and Design of an Autonomous Dragster2020-01-071104/14/2020
This work outlines the design, modeling and development of a competition eliminator dragster which is a specialized vehicle built to compete in the National Hot Rod Association (NHRA). A simple control strategy was also developed once the vehicle model was validated. Towards that end, redundant braking, steering, throttle and shifting systems were all redesigned, modeled, and then implemented in vehicle. Three key sensors (camera, radar, lidar) were also integrated on to the vehicle to enable the vehicle to know its position relative to the track. All these systems were developed and designed such that the vehicle could be autonomously but seamlessly overridden by an in-vehicle driver.
Bell, Joseph, Donikian, Vatche, Washington, Gregory
Low-Bandwidth Radar Technology Provides Improved Detection of ObjectsTBMG-3569012/01/2019
Radar technologies were originally designed to identify and track airborne military targets. Today, they're more often used to detect motor vehicles, weather formations, and geological terrain. Until now, scientists believed that radar accuracy and resolution are related to the range of frequencies or radio bandwidth used by the devices. A new approach inspired by optical coherence tomography (OCT) requires little to no bandwidth to accurately create a high-resolution map of a radar's surrounding environment. The new technology has numerous applications, especially with respect to the automotive industry.
Software-Defined Analog Filters: A Paradigm Shift in Radio Filter Performance and CapabilityTBMG-3566512/01/2019
Among the most abundant components in all wireless system designs, analog RF filters are used to block interference from various internal and external sources. Limited spectrum divided among an ever-increasing number of users is further driving the need for these ubiquitous but in some ways anachronistic devices. Currently, interference is quite common among cellular base stations, satellite systems, radar installations, and other types of access and backhaul communications systems. Traditional filters are unable to cope with the requirements; in many cases, most often due to insufficient guard bandf. For example, in some international locales, LTE base stations and satellite receivers share the L-band frequencies. At around 3.5 GHz, 5G operators, CBRS radios, and military radars are trying to co-exist. To address this in-band interference, a new, tunable filtering technology is entering the marketplace, uniquely blending the best of both analog and digital technologies.
Using 24 GHz Doppler Radar Sensors for Noncontact Human Vitals DetectionTBMG-3562312/01/2019
Health and wellness monitoring is a primary way to manage personal health and awareness for a healthy lifestyle. Many wearable activity tracking devices, smart watches, and smartphone applications collect and analyze data from bodily sources. Other types of devices used to monitor vital signs can help the wearer manage health issues but can limit the wearer’s mobility or cause discomfort if worn continuously. These restrictions have prompted a growing interest in developing noncontact, wireless devices to detect vital signs, especially for people who are unconscious, sleeping, very young, elderly, or infirm. This article explains why 24 GHz Doppler radar sensors are useful for such devices and highlights some of the features suitable for meeting these applications.
Autonomous Multi-Sensor Maritime Awareness SystemTBMG-3536410/01/2019
BIRD Aerosystems Herzliya, Israel
Shape-Shifting Origami Could Help Antenna Systems Adapt On-the-FlyTBMG-3510709/01/2019
Conventional reconfigurable electrical and radio frequency (RF) structures commonly used in applications involving real-time reconfigurability in response to fast varying operational scenarios require specialized substrates or complex electrical circuits. Origami-based RF reconfigurable components and modules offer a solution with unique properties. First, they enable re-configurability over continuous-state ranges (as opposed to discrete states). Second, they do not require specialized mechanical support for multilayer frequency-selective surface structures. Moreover, deployable origami-based RF structures can achieve large surface re-configurability ratios from folded to unfolded states. Finally, these structures allow for independent control of multiple figures of merit: bandwidth, frequency of operation, and angle of incidence.
Summary of the High Ice Water Content (HIWC) RADAR Flight Campaigns2019-01-202706/10/2019
NASA and the FAA conducted two flight campaigns to quantify onboard weather radar measurements with in-situ measurements of high concentrations of ice crystals found in deep convective storms. The ultimate goal of this research was to improve the understanding of high ice water content (HIWC) and develop onboard weather radar processing techniques to detect regions of HIWC ahead of an aircraft to enable tactical avoidance of the potentially hazardous conditions. Both HIWC RADAR campaigns utilized the NASA DC-8 Airborne Science Laboratory equipped with a Honeywell RDR-4000 weather radar and in-situ microphysical instruments to characterize the ice crystal clouds. The purpose of this paper is to summarize how these campaigns were conducted and highlight key results. The first campaign was conducted in August 2015 with a base of operations in Ft. Lauderdale, Florida. Ten research flights were made into deep convective systems that included Mesoscale Convective Systems (MCS) near the Gulf
Ratvasky, Thomas, Harrah, Steven, Strapp, J. Walter, Lilie, Lyle, Proctor, Fred, Strickland, Justin, Hunt, Patricia, Bedka, Kristopher, Diskin, Glenn, Nowak, John B., Bui, T. P., Bansemer, Aaron, Dumont, Christopher
Analysis and Automated Detection of Ice Crystal Icing Conditions Using Geostationary Satellite Datasets and In Situ Ice Water Content Measurements2019-01-195306/10/2019
Recent studies have found that high mass concentrations of ice particles in regions of deep convective storms can adversely impact aircraft engine and air probe (e.g. pitot tube and air temperature) performance. Radar reflectivity in these regions suggests that they are safe for aircraft penetration, yet high ice water content (HIWC) is still encountered. The aviation weather community seeks additional remote sensing methods for delineating where ice particle (or crystal) icing conditions are likely to occur, including products derived from geostationary (GEO) satellite imagery that is now available in near-real time at increasingly high spatio-temporal detail from the global GEO satellite constellation. A recent study using a large sample of co-located GEO satellite and in-situ isokinetic evaporator probe (IKP-2) total water content (TWC) datasets found that optically thick clouds with tops near to or above the tropopause in close proximity (≤ 40 km) to convective updrafts were most
Bedka, Kristopher, Yost, Christopher, Nguyen, Louis, Strapp, J. Walter, Ratvasky, Thomas, Khlopenkov, Konstantin, Scarino, Benjamin, Bhatt, Rajendra, Spangenberg, Douglas, Palikonda, Rabindra
How Dual Polarization Technique May Improve Weather Radar on Commercial Aircraft2019-01-198206/10/2019
The airborne weather radar on a commercial aircraft is essential to ensure flight safety. It is able to detect severe weather, probable areas where presence of hail may be suspected, and thanks to its Doppler capability, the wind shears that may be dangerous when taking-off or landing. However, because it operates at X-band, the picture that it offers to the pilot may be seriously biased in situation of severe weather, in reason of the attenuation of the radar wave. The adoption of the dual pol technique in this weather radar would be most beneficial for the quality of the information delivered to the pilot for the following reasons: 1 Dual pol technique allows to operate a classification of the precipitation: distinguishing rain, melting layer, snow, hail, small ice particles. 2 Dual pol technique allows correcting the return signal for attenuation in rain. The paper aims reporting recent advances in the exploitation of dual pol radar data, based on the concept of normalisation of the
Testud, Jacques Victor, Moreau, Emmanuel, Le Bouar, Erwan
High Altitude Ice Crystal Detection with Aircraft X-band Weather Radar2019-01-202606/10/2019
During participation on EU FP7 HAIC project, Honeywell has developed methodology to detect High Altitude Ice Crystals with the Honeywell IntuVue® RDR-4000 X-band Weather Radar. The algorithm utilizes 3D weather buffer of RDR-4000 weather radar and is based on machine learning. The modified RDR-4000 Weather Radar was successfully flight tested during 2016 HAIC Validation Campaign; the technology was granted Technology Readiness Level 6 by HAIC consortium. After the end of HAIC project, the method was also evaluated with respect to newly set preliminary industry standard performance requirements1. This paper discuses technology design rationale, high level technology architecture, technology performance, and challenges associated with performance evaluation.
Lukas, Jan, Badin, Pavel
Radar Detection of High Concentrations of Ice Particles - Methodology and Preliminary Flight Test Results2019-01-202806/10/2019
High Ice Water Content (HIWC) has been identified as a primary causal factor in numerous engine events over the past two decades. Previous attempts to develop a remote detection process utilizing modern commercial radars have failed to produce reliable results. This paper discusses the reasons for previous failures and describes a new technique that has shown very encouraging accuracy and range performance without the need for any modifications to industry’s current radar design(s). The performance of this new process was evaluated during the joint NASA/FAA HIWC RADAR II Flight Campaign in August of 2018. Results from that evaluation are discussed, along with the potential for commercial application, and development of minimum operational performance standards for future radar products.
Harrah, Steven, Strickland, Justin, Hunt, Patricia, Proctor, Fred, Switzer, George, Ratvasky, Thomas, Strapp, J. Walter, Lilie, Lyle, Dumont, Christopher
High-Performance, Current-Steering Digital-to-Analog ConverterTBMG-3439505/01/2019
A current-steering digital-to-analog converter (DAC) was developed that achieves improved switching times (up to 75% faster) in high-speed (gigahertz), high-resolution (8-14 bits) applications resulting in improvement of spurious free dynamic range (SFDR).
Vision System for Detecting a Small Object at Far Range2019-01-088604/02/2019
As one of the advanced sensing technologies of Autonomous driving, we have started developing the new vision system. It focuses on detecting the small object at far ranges. It makes it possible to detour a vehicle along the traffic cones (small object). This system is based on the high-resolution mono-camera with narrow FOV and the algorithms for object-detection/ranging and lane-detection. A prototype is created and evaluated. It could detect the cones and estimate their ranges up to 150 [m]. The range accuracy is 5.3 [m]. Plural cones at different ranges can be measure at one time. The lane detection could reach 150 [m].
Miyahara, Shunji, Li, Huan, Xie, Kunpeng, Bai, Bai Jincheng
Application of Collision Probability Estimation to Calibration of Advanced Driver Assistance Systems2019-01-113304/02/2019
Advanced Driver Assistance Systems (ADAS) are designed and calibrated rigorously to provide them with the robustness against highly uncertain environments that they usually operate in. Typical calibration procedures for such systems rely extensively on track (controlled environment) testing, which is time-consuming, expensive, and sometimes cannot cover all the critical test scenarios that could be encountered by ADAS in the real world. Therefore, virtual (simulation-based) testing and validation has been gaining more prominence and emphasis for ensuring high coverage along with easier scalability and usage. This paper attempts to provide an alternative approach for calibrating ADAS in the controller validation phase by the aid of simulated test case scenarios. The study executes characterization of the uncertainty in the position and heading of the ego and the obstacle vehicles. This exercise captures the uncertainties in the states detection of vehicles in the environment and
Bithar, Vivek, Karumanchi, Aditya
Detecting Drones with Doppler-Based RadarTBMG-3302310/01/2018
As drones become more commonplace, the need to secure facilities from the high-definition cameras and potential dangerous payloads has caused a rapid growth of counter-drone technologies.
Hyperfine Interpolated Range Finding for CW Lidar, Radar, and Sonar Using Repeating Waveforms and Fourier Transform ReorderingTBMG-3251808/01/2018
NASA's Langley Research Center has developed a novel fine interpolation technique that is useful in signal processing for applications in lidar, sonar, radar, and similar modalities. The interpolation technique uses repeating waveforms, Fourier transform reordering, and Richardson-Lucy deconvolution to obtain faster and more accurate results. The prime target application is range finding, but the technique is equally suitable for differential absorption studies, such as determining CO 2 concentrations in the atmosphere.
Digital Radar Warning ReceiverTBMG-2908106/01/2018
Northrop Grumman Corporation Falls Church, VA 703-280-2900
Co-Prime Frequency and Aperture Design for HF Surveillance, Wideband Radar Imaging, and Nonstationary Array ProcessingTBMG-2907806/01/2018
A co-prime array uses two uniform linear subarrays to construct an effective difference coarray with certain desirable characteristics, such as a high number of degrees-of-freedom for DOA estimation. In this research, the co-prime array concept has been generalized with two operations.
Tech Briefs: June 201818AERP0606/01/2018
Beyond VMEbus - A New Concept Taming the Thermal Behavior of Solid-State Military Lasers Solving the Challenge of Thermal Design in Aerospace Electronics Improving Component Life in Abrasive, Corrosive Aerospace Environments New Pulse Analysis Techniques for Radar and EW Validation of Ubiquitous 2D Radar Converting Existing Copper Wire Firing System to a Fiber-Optically Controlled Firing System for Electromagnetic Pulsed Power Experiments Technological improvements make pulsed-power experiments with gunpowder- or air-driven guns safer. Low-Cost Ground Sensor Network for Intrusion Detection COTS-based system could provide increased level of security with less manpower. In-Network Processing on Low-Cost IoT Nodes for Maritime Surveillance Commercially available system of distributed wireless sensors could increase the Navy's intelligence collection footprint. Co-Prime Frequency and Aperture Design for HF Surveillance, Wideband Radar Imaging, and Nonstationary Array Processing Developing
Fail-Operational Safety Architecture for ADAS Systems Considering Domain ECUs2018-01-106904/03/2018
In recent years the automotive companies are developing their self-driving technology very rapidly. Most of them want to launch their self-driving vehicles with SAE level 4 at the beginning of 2020. The main goal of the development of self-driving cars is to reduce accidents caused by driver errors. But there are some technological challenges to solve such as increasing of the safety and availability in order to get the acceptance from the customers. The purpose of this research is to investigate the possible fail-operational safety architectures for both conventional systems as powertrain and the entire ADAS processing chain. The solutions show how the redundant system architecture and safety architecture can be created efficiently and diverse redundancy for ADAS systems considering the processing chain from sensors such as camera, radar, lidar, etc. to perception and decision algorithms in order to fulfill the ASIL D safety requirements and to increase the system availability with
Sari, Bülent, Reuss, Hans-Christian
Study on Target Tracking Based on Vision and Radar Sensor Fusion2018-01-061304/03/2018
Faced with intricate traffic conditions, the single sensor has been unable to meet the safety requirements of Advanced Driver Assistance Systems (ADAS) and autonomous driving. In the field of multi-target tracking, the number of targets detected by vision sensor is sometimes less than the current tracks while the number of targets detected by millimeter wave radar is more than the current tracks. Hence, a multi-sensor information fusion algorithm is presented by utilizing advantage of both vision sensor and millimeter wave radar. The multi-sensor fusion algorithm is based on centralized fusion strategy that the fusion center takes a unified track management. At First, vision sensor and radar are used to detect the target and to measure the range and the azimuth angle of the target. Then, the detections data from vision sensor and radar is transferred to fusion center to join the multi-target tracking with the prediction of current tracks. Vision sensor uses Global Nearest Neighbor (GNN
Wu, Xian, Ren, Jing, Wu, Yujun, Shao, Jianwang
The Effect of Target Features on Toyota’s Autonomous Emergency Braking System2018-01-053304/03/2018
The Pre-Collision System (PCS) in Toyota’s Safety Sense package includes an autonomous emergency braking feature that can stop or slow a vehicle independent of driver input if there is an impending collision. The goals of this study were to determine how hazard characteristics, specifically radar reflector size and degree of target edge contrast, affect the response of the PCS, as well as to scrutinize tests wherein the PCS failed to stop the vehicle before impact. We conducted 80 tests with a 2017 Toyota Corolla driven towards a car-like target in a straight line and under constant accelerator pedal position, reaching about 30 km/h at the PCS alarm. Vehicle speed and distance to target at the alarm flag (ALM) and at times corresponding to three other system flags (PBA, FPB, and PB) were read from the Vehicle Control History records. Time to impact (TTI) at each flag was calculated and the distance between the stopped vehicle and the target was measured for each test. The PCS detected
Yang, Mike, Xing, Peter, Flynn, Thomas, Tsuge, Brandon, Lawrence, Jonathan, Siegmund, Gunter P.
The Accuracy of Toyota Vehicle Control History Data during Autonomous Emergency Braking2018-01-144104/03/2018
Newer Toyota vehicles store information about more than 50 parameters for 5 s before and after non-collision events in the Vehicle Control History (VCH) records. The goals of this study were to assess the accuracy of VCH data acquired during Autonomous Emergency Braking (AEB) events and to investigate the effects of speed, acceleration, and system settings on AEB performance. A 2017 Toyota Corolla with Safety Sense P Pre-Collision System (PCS) was driven in a straight line towards a car-like target at different combinations of four speeds (20, 25, 30, and 40 km/h; or 12, 15, 19, and 25 mph) and three accelerator pedal positions (constant 30%, 40%, and 50% accelerator opening ratios) until the AEB system activated. The vehicle speed, vehicle acceleration, radar target closing speed, and radar target distance recorded in the VCH were compared to a reference 5th wheel. We found that errors in the VCH distance, speed, and acceleration data varied with the test conditions. Regression
Xing, Peter, Yang, Mike, Tsuge, Brandon, Flynn, Thomas, Lawrence, Jonathan, Siegmund, Gunter P.
Radar Sensor SystemsTBMG-2878604/01/2018
Kelvin Hughes London, UK +44 19 9280 5200
New Osram IREDs enhance vehicle vision without harming human eyes18AUTP08_0801/01/2018
As a compliment to cameras, LiDAR and radar, a new family of Infrared LEDs (IREDs) can expand the vision of SAE Level 4 and 5 autonomous vehicles without harming human eyes, claims maker Osram Opto Semiconductors. Infrared night vision cameras, LiDAR, radar, and vehicle headlights will provide autonomous vehicles with an ability to see the surroundings at night, but the technologies have limitations.
Buchholz, Kami
THE NAVIGATOR18AUTP01_0801/01/2018
Cooking up the perfect automated-driving system Ask any group of chefs how to prepare a particular recipe and you'll find general agreement about the list of basic ingredients. However, between that list and the finished product are endless variations of process and proportions. Consider the humble cup of coffee. In its most basic form, it consists of roasted-and-ground beans to which water is added to create a dark brown caffeinated liquid. Then come the various bean origins (Colombian, Hawaiian, Ethiopian, etc.) and the variety of preparation: drip, percolators, espresso, press pots, cold brew and the latest fad, pour overs. The mind-boggling array of fancy coffee drinks on your local café's menu board shows there is clearly no consensus for making a cup of joe.
Abuelsamid, Sam
2-D CFAR Procedure of Multiple Target Detection for Automotive Radar07-11-01-000709/23/2017
In Advanced Driver Assistant System (ADAS), the automotive radar is used to detect targets or obstacles around the vehicle. The procedure of Constant False Alarm Rate (CFAR) plays an important role in adaptive targets detection in noise or clutter environment. But in practical applications, the noise or clutter power is absolutely unknown and varies over the change of range, time and angle. The well-known cell averaging (CA) CFAR detector has a good detection performance in homogeneous environment but suffers from masking effect in multi-target environment. The ordered statistic (OS) CFAR is more robust in multi-target environment but needs a high computation power. Therefore, in this paper, a new two-dimension CFAR procedure based on a combination of Generalized Order Statistic (GOS) and CA CFAR named GOS-CA CFAR is proposed. Besides, the Linear Frequency Modulation Continuous Wave (LFMCW) radar simulation system is built to produce a series of rapid chirp signals. Then the echo
Li, Sen, Bi, Xin, Tan, Bin, Huang, Libo
A Modified Chirp Sequence Design for Monopulse Automotive Radar2017-01-197409/23/2017
In the last years, in order to fit the requirements of automotive radar application under the multi-target conditions, several proposals about Continuous Waveform (CW)have been developed. The transmit signal with Multiple Frequency Shift Keying (MFSK) technology was developed to analyze the target information in range domain and Doppler frequency domain simultaneously, but the MFSK waveform has lower estimation accuracy in phase measuring. A higher accuracy signal type is the chirp sequence waveform of monopulse radar, which is based on two-dimension independent frequency measuring. It can also get the range and velocity information, but might lead to ambiguities in Doppler domain. To avoid the Doppler ambiguity, a method is proposed in this paper, which uses the modified chirp sequence waveform. The carrier frequencies of the modified chirp sequence are different, which causes the Doppler frequency offset. Doppler ambiguities have no influence on the Doppler frequency offset and the
Chen, Tao, Bai, Jie, Wang, Fang, Huang, Libo
Developing a Satellite-Based Autonomous Vehicle Control SystemTBMG-2704706/01/2017
The rapid rise of global interest in the field of autonomous driving is ushering in a new era of automobiles. With many vehicles already offering autonomous preventative safety systems, the addition of improved road infrastructure could increase the reliability and maturity of autonomous driving functions, ultimately increasing the driver's sense of safety.
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