Preface for Robust and Certifiable Perception System for Intelligent Vehicle

作     者：Guang Chen Alois Knoll Zhihua Zhong 

作者机构：School of Automotive Studies and Department of Computer ScienceTongji UniversityShanghaiChina 不详 

出 版 物：《Automotive Innovation》 (汽车创新工程（英文）)

年 卷 期：2022年第5卷第3期

页      面：221-222页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 082304[工学-载运工具运用工程] 080204[工学-车辆工程] 0802[工学-机械工程] 0823[工学-交通运输工程] 

主　　题：extreme false perception 

摘      要：The perception system is one of the most important parts of intelligent vehicles and has developed rapidly in recent ***,efficiency,and robustness of perception algorithms like object detection and scene parsing have been greatly ***,developing a robust and certifiable perception system is still *** perception systems can only work in relatively simple traffic scenarios,such as highways or closed environments,and would possibly fail in extreme conditions with the presence of extreme amounts of outliers due to false detection or sensor malfunction.