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文献详情 >Competition for roadside camer... 收藏

Competition for roadside camera monocular 3D object detection

作     者:Jinrang Jia Yifeng Shi Yuli Qu Rui Wang Xing Xu Hai Zhang Jinrang Jia;Yifeng Shi;Yuli Qu;Rui Wang;Xing Xu;Hai Zhang

作者机构:Baidu Inc. Institute of Artificial Intelligence and Robotics Xi'an Jiaotong University College of Software Jilin University School of Computer Science and Engineering University of Electronic Science and Technology of China Pazhou Laboratory (Huangpu) School of Mathematics Northwest University 

出 版 物:《National Science Review》 (国家科学评论(英文版))

年 卷 期:2023年第10卷第6期

页      面:34-37页

核心收录:

学科分类:082304[工学-载运工具运用工程] 08[工学] 080203[工学-机械设计及理论] 080204[工学-车辆工程] 0838[工学-公安技术] 0802[工学-机械工程] 0823[工学-交通运输工程] 

摘      要:INTRODUCTION Accurate environment perception is a critical topic in autonomous driving and intelligent *** environmental perception methods mostly rely on on-board ***,limited by the installation height,thereare problems such as blind spots and unstable long-range perception in vehicle perceptual ***,with the rapid improvement of intelligent infrastructure,it has become possible to use roadside cameras for traffic environment *** from the increased height when compared with on-boardsensors,roadside cameras can obtain a larger perceptual field of view and realize long-range observation.

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