Weighted line fitting algorithms for mobile robot map building and efficient data representation
- 1 March 2004
- proceedings article
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 1, 1304-1311
- https://doi.org/10.1109/robot.2003.1241772
Abstract
No abstract availableThis publication has 10 references indexed in Scilit:
- A practical approximation algorithm for the LMS line estimatorComputational Statistics & Data Analysis, 2007
- Weighted range sensor matching algorithms for mobile robot displacement estimationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Natural landmark-based autonomous navigation using curvature scale spacePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- A split-and-merge segmentation algorithm for line extraction in 2D range imagesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- SEGMENTS: a layered, dual-Kalman filter algorithm for indoor feature extractionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- A Probabilistic Approach to Concurrent Mapping and Localization for Mobile RobotsMachine Learning, 1998
- The Interpretation of Phase and Intensity Data from AMCW Light Detection Sensors for Reliable RangingThe International Journal of Robotics Research, 1996
- Mobile robot navigation using the range-weighted Hough transformIEEE Robotics & Automation Magazine, 1995
- Maintaining representations of the environment of a mobile robotIEEE Transactions on Robotics and Automation, 1989
- Use of the Hough transformation to detect lines and curves in picturesCommunications of the ACM, 1972