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EC-IoU: Orienting Safety for Object Detectors via Ego-Centric Intersection-over-Union
This paper presents safety-oriented object detection via a novel Ego-Centric Intersection-over-Union (EC-IoU) measure, addressing practical concerns when applying state-of-the-art learning-based perception models in safety-critical domains such as autonomous driving.
Towards Continuous Assurance Case Creation for ADS with the Evidential Tool Bus
An assurance case has become an integral component for the certification of safety-critical systems.
Simulation-based Safety Assurance for an AVP System incorporating Learning-Enabled Components
There have been major developments in Automated Driving (AD) and Driving Assist Systems (ADAS) in recent years.
Are Transformers More Robust? Towards Exact Robustness Verification for Transformers
As an emerging type of Neural Networks (NNs), Transformers are used in many domains ranging from Natural Language Processing to Autonomous Driving.
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