A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf
.
Modeling Perception Errors towards Robust Decision Making in Autonomous Vehicles
2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence
Sensing and Perception (S&P) is a crucial component of an autonomous system (such as a robot), especially when deployed in highly dynamic environments where it is required to react to unexpected situations. This is particularly true in case of Autonomous Vehicles (AVs) driving on public roads. However, the current evaluation metrics for perception algorithms are typically designed to measure their accuracy per se and do not account for their impact on the decision making subsystem(s). This
doi:10.24963/ijcai.2020/479
dblp:conf/ijcai/TuM020
fatcat:dwov2yxchnevtobgzmcuzmyzne