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Singh_Harnarayan_MSME.pdf (9.54 MB)

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Simulation Based Virtual Testing for Perceived Safety and Comfort of Advanced Driver Assistance Systems and Automated Driving Systems

Singh, Harnarayan
http://orcid.org/0000-0003-0539-8874
http://rave.ohiolink.edu/etdc/view?acc_num=osu1597838112748323

Abstract Details

2020, Master of Science, Ohio State University, Mechanical Engineering.
Advanced Driver Assistance Systems (ADAS) and Automated Driving Systems (ADS) are ushering in a new era of transportation innovation and safety by incorporating technologies aimed at making the driving experience safer, more efficient, and comfortable. They assist in performing complex maneuvers, preempt potential risky situations, and take over the driver’s tasks in critical situations. Innovation acceptance research for ADAS show that the increasing demand for safety and comfort are the two key prime movers of ADAS market. Hence, there is a need to comprehensively test for both during the process of product verification and validation. Due to complexity of the system, cost of testing and safety of the test engineers, a significant part of ADAS/ADS algorithms validation needs to be done virtually. Although simulation-based validation and verification (V&V) is not new, the requirements of test descriptions and software tools are not yet well understood. This project builds around the process of simulation for testing by exposing ADAS/ADS software to pre-defined scenarios. Different scenarios are built in a series of virtual simulators which have unique features, methods and assumptions that must be well-understood for the results to be proven valid. These essential features of the simulators are documented to understand the effect of simulator specific scenario parameters on simulation results. For the perceived safety and comfort aspect of ADAS, objective assessment of the Lane Keep Assist feature is performed which involves a MATLAB®-based tool for giving a scalar rating to the performance of the Lane Keep Assist system. For a series of simulations, the essential drive quality parameters and the corresponding “goodness score” ratings of ADAS based on suitable metrics are used to train and develop a Machine learning algorithm that gives a quality assessment of the Lane Keep Assist system. Finally, a methodology is proposed that can be used to perform the same assessment experimentally, expanding the scope of the project. In general, the thesis is a guideline to developing simulation-based V&V tools for ADAS.
Shawn Midlam-Mohler (Advisor)
Punit Tulpule (Advisor)
Lisa Fiorentini (Committee Member)
232 p.
Engineering
ADAS; ADS; Perceived safety and comfort; PreScan; CARLA; Simulation; ADAS Testing; AEB; TJA; ISA; PAEB; HSM; Human-Centric Evaluation; Verification and Validation; Scenario Testing; Simulators; Virtual Testing

Recommended Citations

Citations

  • Singh, H. (2020). Simulation Based Virtual Testing for Perceived Safety and Comfort of Advanced Driver Assistance Systems and Automated Driving Systems [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1597838112748323

    APA Style (7th edition)

  • Singh, Harnarayan. Simulation Based Virtual Testing for Perceived Safety and Comfort of Advanced Driver Assistance Systems and Automated Driving Systems. 2020. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1597838112748323.

    MLA Style (8th edition)

  • Singh, Harnarayan. "Simulation Based Virtual Testing for Perceived Safety and Comfort of Advanced Driver Assistance Systems and Automated Driving Systems." Master's thesis, Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1597838112748323

    Chicago Manual of Style (17th edition)

osu1597838112748323
573
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This open access ETD is published by The Ohio State University and OhioLINK.