作者
Mátyás Szalai, Balázs Varga, Tamás Tettamanti, Viktor Tihanyi
发表日期
2020/1/23
研讨会论文
2020 IEEE 18th World Symposium on Applied Machine Intelligence and Informatics (SAMI)
页码范围
73-78
出版商
IEEE
简介
Developing a vehicle is always a long and complex task. This is especially true for autonomous cars. Tasks performed by the driver are taken over by the vehicle and must be performed with maximum reliability. Developing these systems is a difficult task, especially due to limited testing capabilities. Testing a vehicle in a closed environment is safe and controlled, but the variety of test scenarios is limited. By using mixed reality environments, one can create a diverse environment around a real test vehicle, with traffic, obstacles, and unexpected situations. The real movement of the test vehicle allows testing decision and motion planning level vehicular functions. Information from the virtual world can be considered as input to the vehicle sensor. Mixed reality or digital twin simulation environments can greatly assist the autonomous vehicle development process and also serve as a basis for validation procedures for …
引用总数
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M Szalai, B Varga, T Tettamanti, V Tihanyi - 2020 IEEE 18th World Symposium on Applied Machine …, 2020