MATLAB环境下车载激光雷达点云数据分析  

Analysis of Point Cloud Data of Vehicle-Mounted Lidar in MATLAB

作　　者：张新敏 悦中原 段卫洁 缑庆伟[1] Zhang Xin-min;Yue Zhong-yuan;Duan Wei-jie;Gou Qing-wei(Beijing Vocational Transportation College,Beijing 102618)

机构地区：[1]北京交通运输职业学院,北京102618

出　　处：《内燃机与配件》2023年第4期91-93,共3页Internal Combustion Engine & Parts

摘　　要：人工智能、大数据等技术支撑了汽车产业的数字化转型和升级,自动驾驶技术得以发展迅速。激光雷达作为传感器具有明显的优势,能够准确的识别出障碍物具体轮廓、距离,有效探测距离也更远,对实现完全自动驾驶有着重要意义。利用MATLAB软件,对自动驾驶汽车用的16线激光雷达点云数据进行了处理,完成了点云分割,为进一步实现驾驶控制提供了基础。Artificial intelligence, big data and other technologies have supported the digital transformation and upgrading of the automobile industry, and autonomous driving technology has developed rapidly. Laser radar, as a sensor, has obvious advantages. It can accurately identify the specific outline and distance of obstacles, and the effective detection distance is longer. It is of great significance to realize full automatic driving. Using MATLAB software, the point cloud data of 16-line laser radar used in self-driving cars are processed, and the point cloud segmentation is completed, which provides the foundation for further driving control.

关 键 词：MATLAB 激光雷达 点云 

分 类 号：TN957.52[电子电信—信号与信息处理]