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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Grandjean, P. Matthies, L. |
| Copyright Year | 1993 |
| Description | Author affiliation: Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA (Grandjean, P.; Matthies, L.) |
| Abstract | Perception control consists of optimally tuning sensor or processing parameters in order to increase perception efficiency under requirement constraints or while adjusting to the environment. Perception control in the task of obstacle detection from cross-country navigation is addressed. The authors show how to maximize the vehicle safety at a given velocity, or inversely how to derive the maximum speed for a given safety. This optimization problems requires the joint analysis of how the vehicle velocity sets look-ahead requirements, how the computational cost of perception is related to the perception variables, the window of attention and image resolution, and how the reliability of the obstacle detection system is related to these variables. This criterion relies on experimental performance statistics. This system has been implemented and tested in outdoor operation. |
| Starting Page | 20 |
| Ending Page | 27 |
| File Size | 666558 |
| Page Count | 8 |
| File Format | |
| ISBN | 0818634502 |
| DOI | 10.1109/ROBOT.1993.292118 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1993-05-02 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Vehicle safety Optimal control Navigation Image analysis Vehicles Computational efficiency Image resolution Vehicle detection Statistics System testing |
| Content Type | Text |
| Resource Type | Article |
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