Competition for roadside camera monocular 3D object detection

被引：0

作者：

Jinrang Jia ^{[1
]}

Yifeng Shi ^{[1
]}

Yuli Qu ^{[2
]}

Rui Wang ^{[3
]}

Xing Xu ^{[4
,5
]}

Hai Zhang ^{[6
,5
]}

机构：

[1] Baidu Inc.

[2] Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University

[3] College of Software, Jilin University

[4] School of Computer Science and Engineering, University of Electronic Science and Technology of China

[5] Pazhou Laboratory (Huangpu)

[6] School of Mathematics, Northwest University

来源：

National Science Review | 2023年 / 10卷 / 06期

关键词：

D O I：

暂无

中图分类号：

U463.6 [电气设备及附件]; U495 [电子计算机在公路运输和公路工程中的应用]; TP391.41 [];

学科分类号：

080203 ; 080204 ; 082304 ; 0838 ;

摘要：

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

引用

页码：34 / 37

页数：4

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