Introducing Spatial Residual Risk for Information Degradation in Automated Driving

Misperception of surrounding objects and traffic participants can lead to a critical situation. Autonomous Driving systems must be able to assess the safety impact of a degraded sensing and perception pipeline at any time. This assessment should be based on an independent risk evaluation framework. Introduced in this work is a residual risk that quantifies the potential risk originating from misperception compared to a response with non-degraded information. Evaluations are possible online at an average rate of 10Hz. Further, exemplary scenarios are analyzed and provided in this paper for discussion.