Uncertainty Evaluation of Object Detection Algorithms for Autonomous Vehicles

The safety of the intended functionality (SOTIF) has become one of the hottest topics in the field of autonomous driving. However, no testing and evaluating system for SOTIF performance has been proposed yet. Therefore, this paper proposes a framework based on the advanced You Only Look Once (YOLO) ...

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Vydané v:	Automotive innovation (Online) Ročník 4; číslo 3; s. 241 - 252
Hlavní autori:	Peng, Liang, Wang, Hong, Li, Jun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Singapore Springer Singapore 01.08.2021
Predmet:	Automotive Engineering Energy Systems Engineering Mechanical Engineering Uncertainty evaluation Confidence calibration SOTIF Autonomous vehicles
ISSN:	2096-4250, 2522-8765
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