A comparison of 3D registration algorithms for autonomous underground mining vehicles
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Summary
A quantitative comparison between ICP and 3D NDT is presented, a novel approach for registration of 3D range-finder scans today.
- Type
- article
- Published
- 2005-01-01
- Cited by
- 57
- References
- 7
- OpenAlex
- https://openalex.org/W31017078
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:14266340
Keywords
De facto, Computer science, Range (aeronautics), Algorithm, Computer vision
References
Cited by
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- VeloRegistration based intersection detection for autonomous driving in challenging urban scenarios
- Fusion of Stereo-Camera and PMD-Camera Data for Real-Time Suited Precise 3D Environment Reconstruction
- GPGPU implementation of On-Line point to plane 3D data registration
- Fast 3D mapping in highly dynamic environments using normal distributions transform occupancy maps
- 6D SLAM with GPGPU computation
- On-line range images registration with GPGPU
- Scan registration using segmented region growing NDT
- 6D SLAM—3D mapping outdoor environments
- On-the-fly scene acquisition with a handy multi-sensor system
- Two different tools for three-dimensional mapping: DE-based scan matching and feature-based loop detection
- Has somethong changed here? Autonomous difference detection for security patrol robots
- On-line data registration in OUTDOOR environment
- Self-Localization in Scanned 3DTV Sets
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