… autonomous systems, such as self-driving cars. In these applications, failure of perception
… is effective in detecting and identifying faults in a real-world perception pipeline for obstacle …

… for characterizing failures of LiDAR-based perception systems … at finding failures in the
perception of a single vehicle. Then … affect the performance of a self-driving car,” IEEE Vehicular …

… Selfdriving cars making mistakes will be an inevitable part of … failure prediction work mostly
focuses on detecting failures … of scene complexity as perceived by the car, we also use the the …

… and scene perception in autonomous vehicles. Unlike existing … object detection and scene
perception problems, which can … of a technology failure or emergency, vehicle operator having …

… autonomous systems, such as selfdriving vehicles. In these applications, failure of perception
… graphs are effective to detect and identify failures in perception systems in real-time. We …

… a disengagement of the self-driving system. Disengagements … failures as early as possible,
we propose a machine learning … can be issues with perception such as unrecognized objects …

… failures to date: the 2018 fatal crash of Uber's self-driving car. … constant comparative analysis
to identify key sources and … SDS meant that repeated failures of the perception system to …

… cause perception errors that make sensors fail to perceive … and Image data Fusion for
detecting perception Errors (LIFE) to … : Contactless attacks against sensors of self-driving vehicle,” …

… , 3 leveraging convolutional neural networks as perception … scenes for which a self-driving
car was not previously trained. … By failure, we mean any deviation from the main system's …

… learning to detect patterns that indicate impending failures. … Different from those works, we
predict failures of an entire self-driving … [14] detect failures of a perception module by running a …