LSD-SLAM : 基于直接法的大范围单目同步定位和地图构建方法
README
SUMMARY
0 - Abstract
1 - Introduction
1.1 - Related Work
1.2 - Contributions and Outline
2 - Preliminaires
2.1 - 3D Rigid Body and Similarity Transformations
2.2 - Weighted Gauss-Newton Optimization on Lie-Manifolds
2.3 - Propagation of Uncertainty
3 - Large-Scale Direct Monocular SLAM
3.1 - The Complete Method
3.2 - Map Representation
3.3 - Tracking new Frames: Direct se(3) Image Alignment
3.4 - Depth Map Estimation
3.5 - Constraint Acquisition: Direct sim(3) Image Alignment
3.6 - Map optimization
4 - Results
4.1 - Qualitative Results on Large Trajectories
4.2 - Quantitative Evaluation
4.3 - Convergence Radius for sim(3) Tracking
5 - Conclusion
6 - Reference
7 - Supplementary
8 - Translation Errata
9 - CHANGELOG
10 - Terminology
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10 - Terminology
Terminology 术语
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SLAM:
即时定位和地图构建方法
同步定位和地图构建
Large-Scale Direct Monocular SLAM:
基于直接法的大范围单目SLAM
所有()用英文符号,不用中文全角
scale-ambiguity:
尺度不确定性
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