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Visual odometry using commodity optical flow (2004)
| Content Provider | CiteSeerX |
|---|---|
| Author | Nourbakhsh, Illah Campbell, Jason Sukthankar, Rahul |
| Abstract | A wide variety of techniques for visual navigation using robot-mounted cameras have been described over the past several decades, yet adoption of optical flow navigation techniques has been slow. This demo illustrates what visual navigation has to offer: robust hazard detection (including precipices and obstacles), high-accuracy open-loop odometry, and stable closed-loop motion control implemented via an optical flow based visual odometry system. This work is based on 1) open source vision code, 2) common computing hardware, and 3) inexpensive, consumer-quality cameras, and as such should be accessible to many robot builders. Demo Overview Optical flow field and camera ego-motion estimation have |
| File Format | |
| Journal | Proceedings of the American Association of Artificial Intelligence (AAAI |
| Publisher Date | 2004-01-01 |
| Access Restriction | Open |
| Subject Keyword | Demo Overview Optical Flow Field Open Source Vision Code Visual Odometry System Visual Navigation Many Robot Builder Robot-mounted Camera Camera Ego-motion Estimation Consumer-quality Camera Optical Flow Navigation Technique Stable Closed-loop Motion Control Robust Hazard Detection Commodity Optical Flow Visual Odometry High-accuracy Open-loop Odometry |
| Content Type | Text |
| Resource Type | Proceeding |
