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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Leang, P. Bhanu, B. |
| Copyright Year | 2004 |
| Description | Author affiliation: California Univ., Riverside, CA, USA (Leang, P.; Bhanu, B.) |
| Abstract | Advances in the area of autonomous mobile robotics have allowed robots to explore vast and often unknown terrains. This paper presents a particular form of autonomy that allows a robot to autonomously control its speed, based on perception, while traveling on unknown terrain. The robot is equipped with an onboard camera and a 3-axis accelerometer. The method begins by classifying a query image of the terrain immediately before the robot. Classification is based on the Gabor wavelet features. In learning the speed, a genetic algorithm is used to map the Gabor texture features to approximate speed that minimizes changes in accelerations along the three axes from their nominal values. Learning is performed continuously. Experiments are done in real time. |
| Starting Page | 813 |
| Ending Page | 816 |
| File Size | 325355 |
| Page Count | 4 |
| File Format | |
| ISBN | 0769521282 |
| ISSN | 10514651 |
| DOI | 10.1109/ICPR.2004.1334342 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-08-26 |
| Publisher Place | UK |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Velocity control Mobile robots Navigation Acceleration Mars Pulse width modulation Robot control Robot vision systems Cameras Accelerometers |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition |
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