Towards a Skill- And Ability-Based Development Process for Self-Aware Automated Road Vehicles

Autor: Nolte, Marcus, Bagschik, Gerrit, Jatzkowski, Inga, Stolte, Torben, Reschka, Andreas, Maurer, Markus
Rok vydání: 2017
Předmět:
Druh dokumentu: Working Paper
DOI: 10.1109/ITSC.2017.8317814
Popis: The development of fully automated vehicles imposes new challenges in the development process and during the operation of such vehicles. As traditional design methods are not sufficient to account for the huge variety of scenarios which will be encountered by (fully) automated vehicles, approaches for designing safe systems must be extended in order to allow for an ISO~26262 compliant development process. During operation of vehicles implementing SAE Levels 3+ safe behavior must always be guaranteed, as the human driver is not or not immediately available as a fall-back. Thus, the vehicle must be aware of its current performance and remaining abilities at all times. In this paper we combine insights from two research projects for showing how a skill- and ability-based approach can provide a basis for the development phase and operation of self-aware automated road vehicles.
Comment: Preprint: Accepted for IEEE Conference on Intelligent Transportation Systems 2017, Yokohama, Japan
Databáze: arXiv