P‐2.11: Research on Scene 3d Reconstruction Technology Based on Multi‐sensor Fusion

Author:

Shen Xi1,Li Wanlin1

Affiliation:

1. School of Information Science and Technology North China University of Technology Beijing China

Abstract

3D scene provides reliable prior information for autonomous decision-making of mobile robot, which is the premise of intelligent mobile robot. 3D reconstruction technology realizes data fusion by sensing the environment and registering sensor data multiple times to the same coordinate system to generate offline 3D scene. 3D reconstruction is widely used in cultural relics reconstruction, AR tourism, automatic driving, smart home and video entertainment. This paper mainly uses lidar to fuse IMU data to realize 3D reconstruction of scene. The front-end odometer based on the fusion of lidar and IMU and the global pose optimization and mapping system based on loopback detection are designed. It improves the accuracy of the simultaneous positioning and mapping system and ensures the real-time performance

Publisher

Wiley

Subject

General Medicine

Reference5 articles.

1. Improved Techniques for Grid Mapping With Rao-Blackwellized Particle Filters

2. Efficient Sparse Pose Adjustment for 2D mapping[C];Konolige K;IEEE International Conference on Intelligent Robots and Systems,2010

3. Velodyne SLAM

4. Low-drift and real-time lidar odometry and mapping

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Evolution of Point Cloud Extraction Techniques from SFM to SLAM and Their Applications in 3D Reconstruction;2024 5th International Conference on Computer Vision, Image and Deep Learning (CVIDL);2024-04-19

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