Visual odometer for pedestrian navigation
- 23 September 2003
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Instrumentation and Measurement
- Vol. 52 (4), 1166-1173
- https://doi.org/10.1109/tim.2003.815996
Abstract
This paper presents a visual odometer system using stereo cameras for pedestrian navigation. A novel method for pedestrian navigation based on the knowledge of gait analysis and robust ego-motion estimation is proposed. Two major problems of implementing the system on a pedestrian are stated. Firstly, the features collected from cameras attached on a walking pedestrian normally have winding trajectory resulting in inaccurate tracking. Secondly, the observed object moving independently leads to incorrect ego-motion estimation. Using gait analysis, capturing images at the same stage of the walking cycle produces a less winding trajectory that allows tracking without stabilizing the images. Robust ego motion is also introduced to eliminate outliers that are independently moving features, mismatched features in the stereo matching step and incorrectly assigned features in the tracking step. Data processing techniques including corner detection, stereo matching, triangulation, tracking, and ego-motion estimation are employed. The outcome is the estimated incremental ego motion of the stereo cameras. The approach not only enables the system to operate on walking users but also improves the accuracy of ego-motion estimation.Keywords
This publication has 19 references indexed in Scilit:
- Vision-based detection and classification of pavement mark using neural network for autonomous driving systemPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2011
- A motion-stabilized outdoor augmented reality systemPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- A fast and robust point tracking algorithmPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- A direct method for stereo correspondence based on singular value decompositionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Zebra-crossing detection for the partially sightedPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Motion–Egomotion Discrimination and Motion Segmentation from Image-Pair StreamsComputer Vision and Image Understanding, 2000
- An efficient implementation of Reid's multiple hypothesis tracking algorithm and its evaluation for the purpose of visual trackingIEEE Transactions on Pattern Analysis and Machine Intelligence, 1996
- Pose estimation from corresponding point dataIEEE Transactions on Systems, Man, and Cybernetics, 1989
- A Combined Corner and Edge DetectorPublished by British Machine Vision Association and Society for Pattern Recognition ,1988
- Error modeling in stereo navigationIEEE Journal on Robotics and Automation, 1987