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本文以实现移动小型智能化系统的实时自主定位为目标,针对激光里程计误差累计大,旋转估计不稳定,以及观测信息利用不充分等问题,提出一种LiDAR/IMU紧耦合的实时定位方法—Inertial-LOAM.数据预处理部分,对IMU数据预积分,降低优化变量维度,并为点云畸变校正提供参考.提出一种基于角度图像的快速点云分割方法,筛选结构性显著的点作为特征点,降低点云规模,保证激光里程计的效率。
BUILDING 3D MAPS WITH SEMANTIC ELEMENTS INTEGRATING 2D LASER, STEREO VISION AND IMU ON A MOBILE ROBOT
3D mapping sensor integration autonomous robots
2015/10/8
Building 3D models is important in many applications, ranging from virtual visits of historical buildings, game and entertainment, to
risk analysis in partially collapsed buildings. This task is perf...
APPLYING 3D AFFINE TRANSFORMATION AND LEAST SQUARES MATCHING FOR AIRBORNE LASER SCANNING STRIPS ADJUSTMENT WITHOUT GNSS/IMU TRAJECTORY DATA
Airborne Laser Scanning adjustment LIDAR georeferencing quality control
2014/6/5
In this article we extend our previous work on the topic of ALS strip adjustment without GNSS/IMU trajectory data. Between overlap- ping strip pairs the relative orientation as a 3D affine trans...