Monitoring Object Detection Abnormalities via Data-Label and Post-Algorithm Abstractions
Yuhang Chen,Chih-Hong Cheng,Jun Yan,Rongjie Yan,Yuhang Chen,Chih-Hong Cheng,Jun Yan,Rongjie Yan
While object detection modules are essential functionalities for any autonomous vehicle, the performance of such modules that are implemented using deep neural networks can be, in many cases, unreliable. In this paper, we develop abstraction-based monitoring as a logical framework for filtering potentially erroneous detection results. Concretely, we consider two types of abstraction, namely data-l...
