智能车辆环境感知技术系统研究  

Research on Intelligent Vehicle Environment Perception Technology System

作　　者：吴亚晖 陈海山[1] 刘金波[1] 赵新 段晶晶 王文哲 Wu Yahui;Chen Haishan;Liu Jinbo;Zhao Xin;Duan Jingjing;Wang Wenzhe

机构地区：[1]空军预警学院雷达士官学校,湖北省武汉市430019

出　　处：《时代汽车》2023年第12期13-15,共3页Auto Time

摘　　要：环境感知是指通过多种传感器相融合来获得实时环境信息以应用于车道识别、红绿灯和障碍物检测等,是智能车辆智能决策和控制的基础,是实现智能化的关键环节。本文对智能车辆环境感知技术进行系统性研究,深度剖析了机器视觉、毫米波雷达、激光雷达和红外传感器等几个重要传感器的应用原理和控制策略,并分析其优缺点。根据传感器不同环境下的应用方法,提出了一种基于传感器信息融合的障碍物检测构思,详细阐述了如何通过信息融合的方法以提高智能车辆的环境感知能力。Environmental perception refers to the fusion of multiple sensors to obtain real-time environmental information for application in lane recognition,traffi c lights and obstacle detection,etc.,which is the basis for intelligent decision-making and control of intelligent vehicles and the key link to realize intelligence.This paper systematically studies the intelligent vehicle environment perception technology,deeply analyzes the application principles and control strategies of several important sensors such as machine vision,millimeter wave radar,lidar and infrared sensors,and analyzes their advantages and disadvantages.According to the application methods of sensors in diff erent environments,an obstacle detection concept based on sensor information fusion is proposed,and how to improve the environmental perception ability of intelligent vehicles through information fusion is elaborated.

关 键 词：智能车辆 环境感知 传感器 信息融合 

分 类 号：TP2[自动化与计算机技术—检测技术与自动化装置]