Simulation testing is considered the supplement to ensure the safety of Autonomous driving (AD) and advanced driving assistance (ADAS's) systems in terms of time and costs. However, it is very difficult and challenging when the simulation results are unexpected. This work presents a simulation-based metamorphic testing (MT) approach to test the ADAS system, implementing the European new car assessment program (Euro NCAP) standards on OpenStreetMap (OSM). We first defined input patterns and relations related to autonomous driving, following the principles of MT. To assess the approach, we executed three tests in two steps at both the design and system levels. Our results show that none of the three (source) tests detected any collisions. However, for follow-up test cases, the ego vehicle failed to apply brakes to avoid a collision when the speed changed. A real-life issue in the system was immediately revealed and confirmed by the development team. We then designed a mechanism and
/PRNewswire/ The "Autonomous Driving Simulation Industry Chain Report (Chinese Companies), 2022" report has been added to ResearchAndMarkets.com s offering..
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Autonomous Driving Simulation Research: Foreign giants build closed-loop simulation platforms, while domestic companies focus on the construction of scenario library
In the development of high-level autonomous driving, the importance of simulation testing becomes more and more apparent. From 2020 to 2021, both foreign and domestic companies stepped up the layout in the field of autonomous driving simulation.
Foreign simulation giants are committed to building closed-loop simulation platforms for setting up industrial barriers
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