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Failure Prediction for Autonomous Driving
[article]
2018
arXiv
pre-print
The primary focus of autonomous driving research is to improve driving accuracy. While great progress has been made, state-of-the-art algorithms still fail at times. Such failures may have catastrophic consequences. It therefore is important that automated cars foresee problems ahead as early as possible. This is also of paramount importance if the driver will be asked to take over. We conjecture that failures do not occur randomly. For instance, driving models may fail more likely at places
arXiv:1805.01811v1
fatcat:6c7xit5uu5acvmornvlfcp35eq