上海交通大学学报(自然版) ›› 2018, Vol. 52 ›› Issue (1): 26-32.doi: DOI: 10.16183/j.cnki.jsjtu.2018.01.005

• 学报(中文) • 上一篇    下一篇

基于重力约束正态分布变换的室内3维地图重建方法

戚明旭a,b,杨明a,b,王春香c,王冰a,b   

  1. 上海交通大学 a. 自动化系; b. 上海市北斗导航与位置服务重点实验室; c. 机器人研究所,上海200240
  • 出版日期:2018-01-01 发布日期:2018-01-01
  • 基金资助:
    国家自然科学基金重大研究计划项目(91420101),国家磁约束核聚变能研究专项(2012GB102002)资助

3D Map Reconstruction in Indoor Environment Based on Normal Distribution Transformation Under Gravity Constraint

QI Mingxua,b,YANG Minga,b,WANG Chunxiangc,WANG Binga,b   

  1. a. Department of Automation; b. Shanghai Key Laboratory of Navigation and Location Services; c. Research Institute of Robotics, Shanghai Jiao Tong University, Shanghai 200240, China
  • Online:2018-01-01 Published:2018-01-01

摘要: 提出一种基于改进正态分布变换的室内3维地图离线重建方法.通过加入重力方向约束来矫正地图形变,采用循环梯度配准方法提高配准成功率,并结合图优化的后端优化算法对所建地图进行优化.同时,采用摆动单线激光获取室内点云原始数据并进行实验,以验证所提方法的正确性.结果表明,利用该地图重建方法能够建立高精度的室内3维地图.

关键词: 室内3维地图, 重建, 重力约束, 正态分布变换, 循环梯度配准, 图优化

Abstract: A method for offline reconstruction of indoor 3D map is proposed based on an improved normal distribution transform (NDT) algorithm. First, a constraint in the gravity direction is incorporated into a 3D NDT, so that map deformation in extra dimensions is rectified. Then a cyclic gradient matching scheme is proposed to deal with the matching error resulted from scarce overlap between consecutive frames. Finally, a graph optimization is adopted in the back-end map construction. By using a swinging laser, experiments validate its performance and high accuracy.

Key words: indoor 3D map, reconstruction, gravity constraint, normal distributions transform (NDT), cyclic gradient matching, graph optimization

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