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research:vslam:ldso [2018/10/02 16:34] Nikolaus Demmel |
research:vslam:ldso [2020/08/21 02:45] Rui Wang |
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Our evaluation on publicly available datasets demonstrates that the modified point selection strategy retains the tracking accuracy and robustness, and the integrated pose-graph optimization significantly reduces the accumulated rotation-, translation- and scale-drift, | Our evaluation on publicly available datasets demonstrates that the modified point selection strategy retains the tracking accuracy and robustness, and the integrated pose-graph optimization significantly reduces the accumulated rotation-, translation- and scale-drift, | ||
+ | ===== Code ===== | ||
+ | |||
+ | You can find the code for LDSO under a GPL license at https:// | ||
+ | |||
+ | ===== Citation ===== | ||
+ | If you find our work useful in your research, please consider citing: | ||
+ | < | ||
+ | @InProceedings{gao2018ldso, | ||
+ | author = "X. Gao and R. Wang and N. Demmel and D. Cremers", | ||
+ | title = "LDSO: Direct Sparse Odometry with Loop Closure", | ||
+ | booktitle = " | ||
+ | year = " | ||
+ | month = " | ||
+ | } | ||
+ | </ | ||
===== Publication ===== | ===== Publication ===== | ||
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</ | </ | ||
- | ===== Code ===== | ||
- | |||
- | You can find the code for LDSO under a GPL license at https:// |