Pose estimation using both points and lines for geo-localization-Reference-Cited by-同舟云学术

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Pose estimation using both points and lines for geo-localization

Published:2011-05 Issue: Volume: Page:
ISSN:
Container-title:2011 IEEE International Conference on Robotics and Automation
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Author:

Ramalingam Srikumar,Bouaziz Sofien,Sturm Peter

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/5967842/5979525/05979781.pdf?arnumber=5979781

Cited by 17 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. PL$${}_{1}$$P: Point-Line Minimal Problems under Partial Visibility in Three Views;International Journal of Computer Vision;2024-03-10

2. Locking On: Leveraging Dynamic Vehicle-Imposed Motion Constraints to Improve Visual Localization;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01

3. SPS: Accurate and Real-Time Semantic Positioning System Based on Low-Cost DEM Maps;IEEE Transactions on Image Processing;2023

4. CvxPnPL: A Unified Convex Solution to the Absolute Pose Estimation Problem from Point and Line Correspondences;Journal of Mathematical Imaging and Vision;2022-11-29

5. An Efficient and Accurate Solution to Camera Pose Estimation Problem from Point and Line Correspondences Based on Null Space Analysis;2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2022-10-23

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