How Autonomous Driving is developing part3(Artificial Intelligence + Computer Vision)
Abstract: Autonomous driving functions (ADFs) in public traffic have to comply with complex system requirements that are based on knowledge of experts from different disciplines, e.g., lawyers, safety experts, psychologists. In this paper, we present a research preview regarding the validation of ADFs with respect to such requirements. We investigate the suitability of Traffic Sequence Charts (TSCs) for the formalization of such requirements and present a concept for monitoring system compliance during validation runs. We find TSCs, with their intuitive visual syntax over symbols from the traffic domain, to be a promising choice for the collaborative formalization of such requirements. For an example TSC, we describe the construction of a runtime monitor according to our novel concept that exploits the separation of spatial and temporal aspects in TSCs, and successfully apply the monitor on exemplary runs.
Oct-11-2022, 09:08:18 GMT
- Genre:
- Research Report (0.38)
- Industry:
- Information Technology > Robotics & Automation (0.68)
- Automobiles & Trucks (0.68)
- Transportation > Ground
- Road (0.68)
- Technology:
- Information Technology > Artificial Intelligence
- Robots > Autonomous Vehicles (0.68)
- Machine Learning > Reinforcement Learning (0.53)
- Vision (0.51)
- Information Technology > Artificial Intelligence