This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Experimental Evaluation of Longitudinal Control for Automated Vehicles through Vehicle-in-the-Loop Testing
Technical Paper
2020-01-0714
ISSN: 0148-7191, e-ISSN: 2688-3627
This content contains downloadable datasets
Annotation ability available
Sector:
Language:
English
Abstract
Automated driving functionalities delivered through Advanced Driver Assistance System (ADAS) have been adopted more and more frequently in consumer vehicles. The development and implementation of such functionalities pose new challenges in safety and functional testing and the associated validations, due primarily to their high demands on facility and infrastructure. This paper presents a rather unique Vehicle-in-the-Loop (VIL) test setup and methodology compared those previously reported, by combining the advantages of the hardware-in-the-loop (HIL) and traditional chassis dynamometer test cell in place of on-road testing, with a multi-agent real-time simulator for the rest of test environment. Details associated with applying the proposed VIL for testing adaptive cruise control (ACC), in conjunction with approaches for creating a virtual lead vehicle, as well as results of energy consumption analysis for a 2017 Toyota Prime with stock and improved longitudinal control algorithm, are reported to illustrate the effectiveness of low-infrastructure-demand test setup and the potential in applying the setup and methodology to other ADAS functionalities.
Recommended Content
Technical Paper | Cooperative Adaptive Cruise Control Design and Implementation |
Journal Article | Prediction of Preceding Driver Behavior for Fuel Efficient Cooperative Adaptive Cruise Control |
Ground Vehicle Standard | Adaptive Cruise Control (ACC) Operating Characteristics and User Interface |
Authors
Topic
Citation
Di Russo, M., Iliev, S., Stutenberg, K., Ku, J. et al., "Experimental Evaluation of Longitudinal Control for Automated Vehicles through Vehicle-in-the-Loop Testing," SAE Technical Paper 2020-01-0714, 2020, https://doi.org/10.4271/2020-01-0714.Data Sets - Support Documents
Title | Description | Download |
---|---|---|
Unnamed Dataset 1 | ||
Unnamed Dataset 2 | ||
Unnamed Dataset 3 | ||
Unnamed Dataset 4 | ||
Unnamed Dataset 5 | ||
Unnamed Dataset 6 | ||
Unnamed Dataset 7 |
Also In
References
- Lutz , S. , Albers , A. , Behrendt , M. , Duser , T. , and Hettel , R. Validation Environment for Function Development and Coverage of ADAS in the Car Development Process Proceedings of 17th Stuttgart International Symposium-Automotive and Engine Technology Stuttgart 2017 II
- Koopman , P. and Wagner , M. Challenges in Autonomous Vehicle Testing and Validation SAE Int. J. Trans. Safety 4 1 15 24 2016 https://doi.org/10.4271/2016-01-0128
- Beglerovic , H. , Metzner , S. , and Horn , M. 2017
- Bock , T. , Maurer , M. , and Farber Validation of the Vehicle in the Loop (VIL) - A Milestone for the Simulation of Driver Assistance Systems Proceedings of the 2007 IEEE Intelligent Vehicle Symposium Istanbul, Turkey 13 15 2007
- Gietelink , O. , Ploeg , J. , Schutter De , B. , and Verhaegen , M. VEHIL: A Test Facility for Validation of Fault Management Systems for Advanced Driver Assistance Systems Proceeding of the 1st IFAC Symposium on Advances in Automotive Control Salerno, Italy 2004 410 415
- Gietelink , O. , Ploeg , J. , Schutter De , B. , and Verhaegen , M. Development of Advanced Driver Assistance Systems with Vehicle Hardware-in-the-Loop Simulations Vehicle System Dynamics 2006 44 569 590
- Albers , A. and Duser , T. 2010
- Vahidi , A. and Sciarretta , A. Energy Savings Potential of Connected and Automated Vehicles Transportation Research Part C 95 822 843 2018
- Galko , C. , Rossi , R. , and Savatier , X. Vehicle-Hardware-in-the-Loop System for ADAS Prototyping and Validation Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS XIV) 2014 2014
- Gadringer , M.E. , Maier , F.M. et al. Radar Target Stimulation for Automotive Applications IET Journal Radar Sonar Navigation 12 10 1096 1103 2018
- Nelson , R. Radar Gives Car Eyes EDN Network https://www.edn.com/design/test-and-measurement/4380245/Radar-gives-cars-eyes
- Graft , S. and Rozmann , M. OTA Radar Test for Autonomous Driving Based on 77GHz Radar Signal Simulator European Radar Conference Workshop: Automotive Radar Measurement Solutions Nuremberg, Germany 2017
- Gruber , A. , Gadringer , M. , Schreiber , H. et al. Highly Scalable Radar Target Simulator for Autonomous Driving Test Beds European Radar Conference Nuremberg, Germany October 2017
- Beglerovic , H. , Metzner , S. , and Horn , M. Challenges for the Validation and Testing of Automated Driving Functions Advanced Microsystems for Automotive Applications 2017 Springer Cham
- Wachenfeld , W. and Winner , H.
- Christensen , A. , Cunningham , A. et al. Key Considerations in the Development of Driving Automation Systems 24th International Technical Conference on the Enhanced Safety of Vehicles (ESV) 2015
- Milanes , V. , Shladover , S.E. Spring , J. et al. Cooperative Adaptive Cruise Control in Real Traffic Situations IEEE Transactions on Intelligent Transportation Systems 2013
- Math Works https://www.mathworks.com/help/driving/examples/adaptive-cruise-control-with-sensor-fusion.html
- SAE International Surface Vehicle Recommended Practice June 2010