The evolution towards autonomous driving involves operating safely in open-world environments. For this, autonomous vehicles and their Autonomous Driving System (ADS) are designed and tested for specific, so-called Operational Design Domains (ODDs). When moving from prototypes to real-world mobility solutions, autonomous vehicles, however, will face changing scenarios and operational conditions that they must handle safely. Within this work, we propose a fuzzy-based approach to consider changing operational conditions of autonomous driving based on smaller ODD fragments, called $\mu$ ODDs. By this, an ADS is enabled to smoothly adapt its driving behavior for meeting safety during shifting operational conditions. We evaluate our solution in simulated vehicle following scenarios passing through different $\mu$ ODDs, modeled by weather changes. The results show that our approach is capable of considering operational domain changes without endangering safety and allowing improved utility optimization.
Fuzzy Interpretation of Operational Design Domains in Autonomous Driving
2022 IEEE Intelligent Vehicles Symposium (IV) ; 1261-1267
2022-06-05
743013 byte
Conference paper
Electronic Resource
English
FAIL SAFE OPERATIONAL STEERING SYSTEM FOR AUTONOMOUS DRIVING
European Patent Office | 2017
DEFINITION AND ONLINE MONITORING METHOD AND SYSTEM FOR AUTONOMOUS DRIVING OPERATIONAL DESIGN DOMAIN
European Patent Office | 2025
|Apparatus and method for planning autonomous-driving path based on operational design domain
European Patent Office | 2022
|