Our ap- proach, implemented in a tool called ThirdEye, turns attention maps into confidence scores that are used to discriminate safe from unsafe driving ...
Jan 5, 2023 · In this paper we propose a runtime monitoring technique rooted in the attention maps computed by explainable artificial intelligence techniques.
Our tool ThirdEye leverages the attention maps by the explainable AI algorithms SmoothGrad and turn them into a confidence score to automatically predict ...
Our approach, implemented in a tool called ThirdEye, turns attention maps into confidence scores that are used to discriminate safe from unsafe driving ...
Oct 10, 2022 · In this work we leverage attention maps for failure prediction to maintain the reliability of the ADS within a safety net. Our technique, ...
Our approach , implemented in a tool called ThirdEye, turns attention maps into confidence scores that are used to discriminate safe from unsafe driving ...
ThirdEye: Attention Maps for Safe Autonomous Driving Systems Stocco, Andrea, Nunes, Paulo J., d'Amorim, Marcelo, and Tonella, Paolo In Proceedings of 37th ...
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ThirdEye: Attention maps for safe autonomous driving systems. A Stocco, PJ Nunes, M D'Amorim, P Tonella. 37th IEEE/ACM International Conference on Automated ...
Author of ThirdEye: Attention Maps for Safe Autonomous Driving Systems within the Research Papers-track. Share. xTue 31 Dec 20:58. using conf.researchr.org (v1 ...
Apr 29, 2024 · To address this, ThirdEye [23] was proposed as a white- box alternative based on the attention maps produced by explainable artificial ...