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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Appenzeller, G. Weckesser, P. Dilimann, R. |
| Copyright Year | 1996 |
| Description | Author affiliation: Inst. for Real-Time Comput. Syst. & Robotics, Karlsruhe Univ., Germany (Appenzeller, G.) |
| Abstract | Computer vision systems are today an important sensor for intelligent robotic systems. However, the design of a vision system that a robot can use as a fast and robust sensor in a complex, partially unknown and dynamic environment is still difficult. A main reason for this is that the parameters of vision systems are often adjusted by hand and remain static during the operation of the robot. In this paper we present a general architecture that adapts the the parameters of a segment based low-level vision system dynamically to increase its speed and robustness. Adaptation is done to a priori knowledge about the environment or to the sensor data itself. The architecture is implemented on a mobile robot using special hardware that allows real-time operation. Quantitative experimental data on its performance is given. |
| Starting Page | 1256 |
| Ending Page | 1263 |
| File Size | 859411 |
| Page Count | 8 |
| File Format | |
| ISBN | 078033213X |
| DOI | 10.1109/IROS.1996.568979 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1996-11-08 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Control systems Machine vision Intelligent sensors Robot sensing systems Robot vision systems Sensor systems Intelligent robots Robustness Computer vision Intelligent systems |
| Content Type | Text |
| Resource Type | Article |
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