江苏省科技期刊可视化阅读平台

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《无线互联科技》杂志社 ›› 2022, Vol. 19 ›› Issue (9): 143-146.

• 实验研究 • 上一篇    下一篇

车载激光雷达和视觉传感器融合算法研究

李贵炎   

  1. 南京交通职业技术学院,江苏 南京 211188
  • 出版日期:2022-05-10 发布日期:2022-07-25
  • 作者简介:李贵炎(1977— ),男,福建霞浦人,副教授,硕士;研究方向:智能新能源汽车应用技术。
  • 基金资助:
    2020年度南京交通职业技术学院自然科研重点项目;项目名称:基于汽车自动驾驶系统的激光雷达和摄像头融合算法研究;项目编号:JZ2008。

Research on fusion algorithm of vehicle lidar and vision sensor

Li Guiyan   

  1. Nanjing Vocational Institute of Transport Technology, Nanjing 211188, China
  • Online:2022-05-10 Published:2022-07-25

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摘要： 随着交通技术的发展,智能交通工具受到了广泛的关注。其中,车载激光雷达技术是智能驾驶系统的基础,在复杂的交通环境中,某些方面可能会受到环境干扰,导致车载激光雷达控制受损,尤其是对车辆详细信息的判断和数据搜集的准确性降低。针对以上问题,文章开展了基于激光雷达与视觉传感器融合算法的技术研究。

关键词: 障碍物识别, 激光雷达, 视觉传感器, 多传感器融合

Abstract: With the development of intelligent transportation, intelligent transportation technology has received extensive attention. Among them, the vehicle-mounted lidar technology is the basis of the intelligent driving system. In a complex traffic environment, certain aspects of the vehicle-mounted lidar may be affected by environmental interference, resulting in damage to the control, especially the detailed information and accuracy of the vehicle. Lower barrier mark. In response to the above problems, this article carried out a technical research based on the fusion algorithm of lidar and vision sensors.

Key words: obstacle recognition, lidar, visual sensor, multi-sensor fusion