Browse Topic: Light emitting diodes (LEDs)

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This SAE Recommended Practice covers the requirements for ethernet physical layer (PHY) qualification. Requirements stated in this document provide a minimum standard level of performance for the PHY in the IC to which all compatible ethernet communications PHY shall be designed. When the communications chipset is an ethernet switch with an integrated automotive PHY (xBASE-T1), then the testing shall include performance for all switch PHY ports as well as each controller interface. No other features in the IC are tested or qualified as part of this SAE Recommended Practice. This assures robust serial data communication among all connected devices regardless of supplier. The goal of SAE J2962-3 is to commonize approval processes of ethernet PHYs across OEMs. The intended audience includes, but is not limited to, ethernet PHY suppliers, component release engineers, and vehicle system engineers.
Vehicle Architecture For Data Communications Standards
This SAE Standard provides test methods, performance requirements, installation requirements, and guidelines for snowmobile headlamps.
Snowmobile Technical Committee
This SAE Recommended Practice is intended as a guide toward standard practice and is subject to change to keep pace with experience and technical advances. This document provides standardized laboratory tests, test methods and equipment, and requirements for lighting devices covered by SAE Recommended Practices and Standards. It is intended for devices used on vehicles less than 2032 mm in width. Tests for vehicles larger than 2032 mm in overall width are covered in SAE J2139. Device specific tests and requirements can be found in applicable SAE technical reports.
Test Methods and Equipment Stds Committee
2.0.113.99 - *admin change pending* Comparison Study on Fuel Properties of Biodiesel from Jatropha, Palm and Petroleum Based Diesel FuelSAE-PP-003543/3/2021
The increase of air pollution and global warming is a threat for human life. Besides, the price of petroleum is increasing rapidly and the resources are diminishing. This obliged scientists and engineers to look for alternative sources of energy, which are cleaner and more sustainable. Biodiesel, defined as mono-alkyls of esters from vegetable oils and animals fat, is a cleaner renewable fuel and has been considered as the best alternative for petroleum based diesel fuel hence it can be used in any compression ignition engines without any significant modification. The main advantages of using biodiesel are its renewability and better quality of exhaust gas emissions due to their higher content of oxygen. The produce less soot and hence the feed stuck is plant it will regenerate the CO2 by the photosynthesis which ensures the renewability and reduces global warming. But these alternative fuels have faced some obstacles while utilizing in CI engines which are due to some of their physical and chemical characteristics. At this study the fuel properties of jatropha biodiesel and its blends (a non-edible feedstock) were compared with the properties of Palm biodiesel (an edible feedstock) and petroleum based diesel. The viscosity, density, oxidation stability, acid value, water content, iodine value, flash point, pour point, cloud point and calorific value of the samples were analyzed an discussed. The physical properties of the biodiesels are controlled by their chemical properties such as unsaturation level of fatty acids and oxidation stability. Results show that the viscosity of jatropha is higher than palm biodiesel although the density of palm biodiesel is higher. Oxidation stability of the biodiesel has impact on several chemical and physical properties and improvement of oxidation stability can make betterment in these properties. The results of this study will be used as a data backup for another research project.
Mutagaana, Festo
This SAE Standard provides requirements and test procedures for the daytime running light function (DRLF) and the lamps that provide it.
Signaling and Marking Devices Stds Comm
Foreign Object Debris Detection and Automatic 1 Elimination for 2 Autonomous EV Wireless Charging ApplicationSAE-PP-002302/3/2021
Abstract: Power pad designing, misalignment reduction, safety, automation, living object detection (LOD), and foreign object debris (FOD) 5 detection are the key challenges in the commercialization of the high voltage wireless charging of Electric Vehicles (EV). The interruption 6 from unwanted and sensitive foreign objects such as metal objects and living objects over the charging pads is an immense challenge for 7 the static wireless charging of EV. In this manuscript, the problem of interference due to foreign objects and living objects has been 8 analyzed and an innovative laser and sensor based FOD detection method is proposed and verified by developing a prototype setup. 9 Modeling and analysis of the effects of foreign objects have been performed using Finite Element Analysis (FEA) in Ansys Maxwell® 10 environment. The analysis compares the consequence of the presence of foreign objects on the wireless charging power pad. The proposed 11 method utilizes laser light and sensor for detection and two-dimensional signal processing for the elimination of FOD. The proposed 12 method is compatible with all types of static wireless charging systems without interrupting the power transfer and power circuit. The 13 proposed system has been analyzed and compared with the various available FOD detection techniques. The feasibility of the proposed 14 system has been assessed with the help of a o the bench hardware prototype implementation in the lab environment.
Anthony, Lindsay
1.1.201 - A Context Aware Automatic Image Enhancement Method Using Color TransferSAE-PP-002162/1/2021
Advanced Driver Assistance Systems (ADAS) have become an inevitable part of most of the modern cars. Their use is mandated by regulations in some cases; and in other cases where vehicle owners have become more safety conscious. Vision / camera based ADAS systems are widely in use today. However, it is to be noted that the performance of these systems is depends on the quality of the image/video captured by the camera. Low illumination is one of the most important factors which degrades image quality. In order to improve the system performance under low illumination, it is required to first enhance the input images/frames. In this paper, we propose an image enhancement algorithm that would automatically enhance images to a near ideal condition. This is accomplished by mapping features taken from images acquired under ideal illumination conditions on to the target low illumination images/frames. The proposed method consists of four steps a) Pre- processing b) a coarse level segmentation of the input image, c) searching for an appropriate images from the database and d) adaptive color transfer. Since our algorithm performs appropriate adaptive modification to various regions, the quality of resultant image is good even under low illumination condition. We have also done a quantitative evaluation using the entropy and contrast based measures. Results prove that our method performs much better both quantitatively and qualitatively when compared to the standard state of the art image enhancement tools that are widely used.
Mutagaana, Festo
051 - Development of a 0D Model Starting from Different RANS CFD Tumble Flow Fields in Order to Predict the Turbulence Evolution at Ignition TimingSAE-PP-001891/30/2021
Faster combustion and lower cycle-to-cycle variability are mandatory tasks for naturally aspirated engines to reduce emission levels and to increase engine efficiency. The promotion of a stable and coherent tumble structure is considered as one of the best way to promote the in-cylinder turbulence and therefore the combustion velocity. During the compression stroke the tumble vortex is deformed, accelerated and its breakdown in smaller eddies leads to the turbulence enhancement process. The prediction of the final level of turbulence for a particular engine operating point is crucial during the engine design process because it represents a practical comparative means for different engine solutions. The tumble ratio parameter value represents a first step toward the evaluation of the turbulence level at ignition time, but it has an intrinsic limit. The tumble ratio parameter represents the value of the angular velocity of a single macro vortex, while the flow-field is often characterized by multiple vortexes, sometimes some rotating and some counter-rotating. The idea at the basis of the paper is: To develop a quasi-predictive 0D model for defining the final mean level of the turbulence at the ignition time. The model is fed by the curtain intake valve mass flow rate and the intake valve lift trend. In order to validate the 0D model the results were compared versus 3D CFD results. To extract from a 3D CFD flow field at IVC the type and the number of the vortexes. The 3D CFD RANS simulations were performed by AVL Fire code v. 2010. To demonstrate through some 3D CFD results that the flow field structure was a function only of the engine type and the load condition. Finally the flow field structure could be used in the 0D model on varying the engine speeds as a means of improvement of the model prediction capability.
Mutagaana, Festo
This SAE Standard provides test procedures, performance requirements, design guidelines, and installation guidelines for front fog lamps.
Road Illumination Devices Standards Committee
Influence of Background Spectral Distribution on Perceptions of Discomfort Glare2020-01-06374/14/2020
The advent of light-emitting diode (LED) technology for automotive lighting allows flexibility of the spectral distribution of forward headlighting systems, while meeting current requirements for “white” illumination. As vehicle headlights have become whiter (with more short-wavelength light output) over the past several decades, their potential impacts on visual discomfort for oncoming and preceding drivers have been hotly debated. It is known that a greater proportion of short-wavelength energy increases discomfort glare, and that increasing the background light level (e.g., through roadway lighting) will decrease perceptions of discomfort. More recently it has been demonstrated that the visual system exhibits enhanced short-wavelength sensitivity for perceptions of scene brightness. As a result, roads illuminated by light sources with higher correlated color temperatures (CCTs) will be judged as appearing to be brighter than those illuminated to the same light level by sources with lower CCTs. The present laboratory study was conducted to identify whether the increased scene brightness of a road illuminated with greater short-wavelength light helps to mitigate discomfort glare more than the same scene illuminated to the same light level, but with less short-wavelength light. The results indicate that the spectral distribution of the background plays little role in the degree to which it lessens discomfort glare. The implications of these results for vehicle and road lighting practices are discussed.
Nagare, Rohan M.Bullough, John D.
This article presents an approach for circumferential tire tread profiling using Laser Section (LS) technique and Photometric Stereo (PS) technique. The proposed approach uses a digital camera as the only data acquisition device, and one laser line generator and sixteen 5 mm white LEDs to provide different lighting conditions. LS technique uses the illumination of the laser line generator to measure the depth profile of one cross section of the tire surface, while PS technique utilizes the difference of the appearance of the tire surface under different lighting conditions to recover the geometry information of the tire tread with pixel resolution. The fusion of the two techniques results in a high-resolution three-dimensional (3D) profiling of the tire tread. A system to apply the proposed approach was developed, with the necessary calibration steps explained, with a step motor for circumferential measurement. The performance of the proposed approach was validated with a 225/60R16 tire using the system. As shown in the experimental result, the proposed approach has successfully measured the circumferential tire tread profiling with 31 μm spatial resolution.
Song, MengyuFurukawa, Tomonari
An IMPC Based Parking Assistance System2019-01-261410/22/2019
This paper summarizes progress and outcome from our research projects on IMPC-based parking management system, including parking motion planning and control strategy, as well as a searching strategy for parking spot. IMPC here refers to interactive model predictive control regime, which is characterized in that multiple agents implementing separate MPC strategy are incorporating information about their state, objective, and constraints. To predict future parking parameters, we proposed a practical framework which integrates anticipatory techniques with a model predictive approach that robustly models the stochastic parking environment. The framework is able to take into account the interactions between vehicle subsystems, and can optimize trajectory under complex traffic patterns in real-world scenarios. Adaptive model predictive control is utilized to optimally minimize a cost function regarding performance, energy efficiency and drivability with regard to surrounding vehicle states. Dynamic programming was used to solve the control objective under multiple constraints, which yielded superior performance in comparison with convex programming. An original navigation system was developed for leading user to the parking spot in case of forgetting exact location, which is characterized in that swift location and path are generated by BLE-based sensor fusion. After successful parking action, the system beacons the parking location and transmits data to mobile equipment of user, which serves as goal of searching task. Simulation results show promising expected cost minimization in typical parking environments under consideration of fuel efficiency, parking time and distance to destination. Meanwhile, the state of art park spot search module is able to shorten the time for drivers to locate their vehicle with positioning error of less than 1.5 meter.
Ouyang, QianyuJia, Xianzhe
Emotion Analytics for Advanced Driver Monitoring System2019-26-00251/9/2019
From the recent advances in Driver Monitoring Systems (DMS) from automotive domain, research on Human Computer Interaction (HCI) based on emotion analytics has gained good interest from the research circles. Distraction and drowsiness will be causing more percentage of traffic accidents, but with the use of advanced DMS technology, we can significantly reduce these distractions and can make the driving a safer activity. Our proposed solution/approach with disguised emotion detection with analytics is enabled by machine learning and image processing algorithms to ensure that the detection of drowsiness or distraction is very accurate. The proposed method will inform the HMI system to provide an alert to wake up the driver if he or she is in drowsy state or take the proactive/necessary actions with the help of active safety systems. Emotion analytics is a technique which is used to analyze the emotion of an individual. It is used to recognize the change in the emotion. Deep Learning is used for the implementation of computer vision techniques which is implemented with the help of Convolutional Neural Network (CNN). In recent times, CNN has been successfully applied in analyzing visual images for many automotive applications. CNN model can be applied to recognize the emotion. We have trained CNN model with different depth using grayscale images. Emotions can be classified into following six categories i.e. Happy, Sad, Surprise, Angry, Neutral and Fear. After recognition, emotions are continuously analyzed. We recorded the emotion in particular time frame like how many times a person is Happy, Sad, Surprised etc. Standard & Tata Elxsi’s proprietary database is used for training the Emotion Recognition System. Proposed system is tested in Raspberry pi board and results found satisfactory. This analysis will help us to monitor the activity of driver. In case of any abnormal behavior we can take corrective measure to control the situation.
Nandyala, SivaprasadK, GayathriBhushan, ChandraGandi, VaraprasadManalikandy, Mithun
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