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移动机器人三维激光 SLAM 算法研究
来源: agv吧 | 作者: agv吧 | 发布时间: 1798天前 | 10732 次浏览 | 分享到:
鉴于移动机器人三维激光SLAM技术的先进性,探讨激光雷达测距与建图算法,以及其两种改进算法:轻量级及地面优化激光雷达测距与建图(LeGO_LOAM)和LOAM的高级实现算法(A_LOAM),尤其对其低漂移、强实时的特性展开深入研究。通过设计对比实验,对不同SLAM算法的优劣进行分析。搭建移动平台,在实际大尺度室外场景和公开数据集KITTI下,从相对位姿估计误差入手完成对比实验。实验结果证明改进算法相比于LOAM可以达到更小的相对位姿估计误差。

[1] 徐立. 基于信息融合的机器人定位及地图创建研究[D].绵阳:西南科技大学, 2009.XU Li. Research on robot localization and map creation based on information fusion[D]. Mianyang:Southwest University of Science and Technology, 2009.
[2]WANG Chaoqun, MENG Lili, SHE Sizhen, et al. Autonomous mobile robot navigation in uneven and unstructured indoor environments[C]//2017 IEEE/RSJ International Conference on Intelligent Robots and Systems(IROS), September 24-28, 2017, Vancouver, BC, Canada. IEEE, 2017:109-116.
[3]ZHANG Ji, SINGH S. LOAM:Lidar odometry and mapping in real-time[C]//RSS 2014 - Robotics:Science and Systems Conference, July 12-16, 2014, UC Berkeley, Berkeley, California, USA. [S.l.:s.n.], 2014:55-63.
[4]ZHANG Ji, SINGH S. Low-drift and real-time lidar odometry and mapping[J]. Autonomous Robots, 2017, 41(2):401-416.
[5] GEIGER A, LENZ P, URTASUN R. Are we ready for autonomous driving? The KITTI vision benchmark suite[C]//2012 IEEE Conference on Computer Vision and Pattern Recognition, June 16-21, 2012, Providence, RI, USA. IEEE, 2012:3354-3361.
[6]SHAN Tixiao, ENGLOT B. LeGO-LOAM:Lightweight and ground-optimized lidar odometry and mapping on variable terrain [C]//2018 IEEE/RSJ International Conference on Intelligent Robots and Systems(IROS), October 1-5, 2018, Madrid, Spain. IEEE, 2019:4758-4765.
[7] AGARWAL S, MIERLE K. Ceres solver 1.0α tutorial & reference[EB/OL]. (2012-05-01)[2020-08-24]. http://www.scribd.com/document/91987106/ceres.
[8] DUBˊE R, DUGAS D, STUMM E, et al. SegMatch:Segment based place recognition in 3D point clouds[C]//2017 IEEE International Conference on Robotics and Automation(ICRA), May 29-June 3, 2017, Singapore, Singapore. IEEE, 2017:5266-5272.
[9]DUBˊE R, CRAMARIUC A, DUGAS D, et al. SegMap:3D segment mapping using data -driven descriptors [C]//RSS 2018-Robotics:Science and Systems Conference, June 26- 30, 2018, Carnegie Mellon University, Pittsburgh, Pennsyl-vania, USA. [S.l.:s.n.], 2018:20-29.
[10] HESS W, KOHLER D, RAPP H, et al. Real -time loop closure in 2D LIDAR SLAM[C]//2016 IEEE International Conference on Robotics and Automation(ICRA), May 16-21, 2016, Stockholm, Sweden. IEEE, 2016:1271-1278.

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