摘要
SLAM(Simultaneous Localization and Mapping)测绘技术作为近年来新兴技术,正受到越来越多的研究者青睐,文章针对激光雷达回波信号强度弱、数据量大、实时性要求高等特点,设计了以现场可编程门阵列(FPGA)为控制核心的高速数据采集系统,利用该系统结合全新的路径导航算法设计出自主导航小车,可在复杂环境下自主巡航并绘制地图,测试结果表明,小车在不同光照度条件下,可实现较好的导航和测绘效果。
SLAM(Simultaneous Localization and Mapping)surveying and mapping technology,as a new technology in recent years,is favored by more and more researchers.Aiming at the characteristics of weak signal strength,large amount of data and high real-time requirements of LiDAR echo,a high-speed data acquisition system based on field programmable gate array(FPGA)is designed,and an autonomous navigation car is designed using this system combined with a new path navigation algorithm.It can cruise and map independently in complex environment.The test results show that the car can achieve better navigation and mapping effect under different illuminance conditions.
出处
《科技创新与应用》
2020年第8期15-16,18,共3页
Technology Innovation and Application