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Scenario Generation and Simulation for Autonomous Software Validation.
Rel. Andrea Tonoli, Nicola Amati, Angelo Bonfitto, Eugenio Tramacere, Stefano Favelli. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2023
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Abstract
Simulation and testing of Advanced Driving Assistance Systems (ADAS) and Autonomous Driving Systems (ADS) has gained in the recent years a lot of attention both from the automotive industry and academia. Testing this systems on the road is closer to their final real-world application and it is a desirable approach, but it is incredibly costly at the same time. Also, it is unfeasible or too dangerous to cover rare corner cases using such real-world testing. Thus, the common goal of the industry is to evaluate the systems' performance in some well-designed challenging scenarios, a.k.a. scenario-based testing, in a safe virtual environment.
Testing in a virtual environment offers several advantages, including cost and time savings, as well as the ability to perform comprehensive tests that may not be feasible in the real world
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