基于近红外激光雷达的车辆防碰撞控制系统
Vehicle anti-collision control system based on near-infrared LiDAR
刘新跃 1杨晓兰1
作者信息
- 1. 成都大学信息网络中心,成都 610106
- 折叠
摘要
当前车辆防碰撞控制系统存在不足,如无法识别各种障碍物,为了解决当前车辆防碰撞控制系统存在的不足,提高车辆行驶安全性,设计了基于近红外激光雷达的车辆防碰撞控制系统.首先分析当前车辆防碰撞控制系统的研究进展,找到引起系统不足的因素,然后设计了车辆防碰撞控制系统的总体架构,采用近红外激光雷达采集车辆前方数据后,并对数据进行预处理,最后机器学习算法根据采集数据对车辆前方障碍物进行识别,实现车辆前方障碍物避障.测试结果表明:该系统较好地克服当前车辆防碰撞控制系统的缺陷,可以更加高精度、快速采集车辆前方数据,识别障碍物正确率高,灵敏度高,具有较高的实际应用价值.
Abstract
The current vehicle anti-collision control system has shortcomings,such as the inability to identify vari-ous obstacles.In order to solve the shortcomings of the current vehicle anti-collision control system and improve vehi-cle driving safety,a vehicle anti-collision control system based on near-infrared laser radar is designed.Firstly,the current research progress of vehicle anti-collision control system is analyzed to find out the factors causing the deficien-cy of the system.Then,the overall architecture of the vehicle anti-collision control system is designed.After collec-ting the data in front of the vehicle by using near-infrared Lidar,the data is pre-processed to avoid obstacles in front of the vehicle.The test results show that the system can effectively overcome the shortcomings of the current vehicle collision prevention control system,collecting data in front of the vehicle with higher accuracy and speed,identify ob-stacles with high accuracy and sensitivity,and has high practical application value.
关键词
近红外光技术/激光雷达/机器学习算法/识别障碍物/防碰撞控制Key words
near infrared light technology/LiDAR/machine learning algorithms/identify obstacles/anti collision control引用本文复制引用
基金项目
四川省教育厅科技项目(SCKJ220352)
出版年
2024
NETL
NSTL
万方数据