Research
Research project
October 20, 2020
ESPLANADE
Before autonomous vehicles can be allowed on public roads, the industry needs robust methods to assess their functional safety. ESPLANADE set out to build that methodological framework — covering decision hierarchies, architecture patterns, and sensor integrity for both passenger cars and commercial vehicles.
Challenges
Without this, no autonomous vehicle will ever be allowed in ordinary traffic.
Value
Methodologies solving the characteristic safety assessment problems for autonomous vehicles. These will be validated within the project by implementing them into prototype tools and applying the tools on use cases for both personal cars and commercial vehicles.
Solutions
- Decision hierarchy and architecture patterns. Architecture for AD-solutions.
- Sensors and Integrity: Non-complete redundancy.
- Requirements Refinement & verification of compositions.
Objectives
- Develop a methodological framework for functional safety assessment of autonomous road vehicles.
- Allow autonomous vehicles in traffic.