A deep learning-based binocular perception system

• 作者: SUN Zhao MA Chao WANG Liang MENG Ran PEI Shanshan
• 来源期刊: 系统工程与电子技术（英文版）
• 年，卷（期）: 2021,（1）
• 所属期刊栏目: ELECTRONICS TECHNOLOGY
• 页码范围: 7-20
• 页数: 14页
• 语种: 英文
• DOI: 10.23919/JSEE.2021.000002

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 pa-per, we provide a complete system design project, which in-cludes the hardware parameters, software framework, algorithm principle, and optimization method. In addition, special experi-ments 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.