A deep learning-based binocular perception system  

作　　者：SUN Zhao MA Chao WANG Liang MENG Ran PEI Shanshan 

机构地区：[1]Faculty of Information Technology,Macao University of Science and Technology,Macao 999078,China [2]Baidu’s Intelligent Driving Group,Beijing 100193,China [3]Beijing Smarter Eye Technology Co.,Ltd.,Beijing 100023,China

出　　处：《Journal of Systems Engineering and Electronics》2021年第1期7-20,共14页系统工程与电子技术（英文版）

基　　金：supported by the National Natural Science Foundation of China(61673381);the National Key R&D Program of China(2018AAA0103103);the Science and Technology Development Fund(0024/2018/A1)。

摘　　要：An obstacle perception system for intelligent vehicle is proposed.The proposed system combines the stereo version technique and the deep learning network model,and is applied to obstacle perception tasks in complex environment.In this paper,we provide a complete system design project,which includes the hardware parameters,software framework,algorithm principle,and optimization method.In addition,special experiments are designed to demonstrate that the performance of the proposed system meets the requirements of actual application.The experiment results show that the proposed system is valid to both standard obstacles and non-standard obstacles,and suitable for different weather and lighting conditions in complex environment.It announces that the proposed system is flexible and robust to the intelligent vehicle.

关 键 词：intelligent vehicle stereo matching deep learning environment perception 

分 类 号：U463.6[机械工程—车辆工程] TP18[交通运输工程—载运工具运用工程]