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- Publisher Website: 10.1109/WIIAT.2008.214
- Scopus: eid_2-s2.0-62949181360
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Conference Paper: Behavior Prediction Based on Obstacle Motion Patterns in Dynamically Changing Environments
| Title | Behavior Prediction Based on Obstacle Motion Patterns in Dynamically Changing Environments |
|---|---|
| Authors | |
| Issue Date | 2008 |
| Publisher | I E E E. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=4740404 |
| Citation | IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), Sydney, NSW, Australia, 9-12 December 2008. In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2008, p. 132-135 How to Cite? |
| Abstract | This paper proposes a behavior prediction method for navigation application in dynamically changing environments, which predicts obstacle behaviors based on learned obstacle motion patterns (OMP) from observed obstacle motion trajectories. A multi-level prediction model is then proposed that predicts long-term or short-term obstacle behaviors. Simulation results show that it works well in a complex environment and the prediction is consistent with actual behaviors. © 2008 IEEE. |
| Persistent Identifier | http://hdl.handle.net/10722/62021 |
| ISBN |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Chen, Z | en_HK |
| dc.contributor.author | Ngai, CK | en_HK |
| dc.contributor.author | Yung, NHC | en_HK |
| dc.date.accessioned | 2010-07-13T03:52:16Z | - |
| dc.date.available | 2010-07-13T03:52:16Z | - |
| dc.date.issued | 2008 | en_HK |
| dc.identifier.citation | IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), Sydney, NSW, Australia, 9-12 December 2008. In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2008, p. 132-135 | en_HK |
| dc.identifier.isbn | 9780769534961 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/62021 | - |
| dc.description.abstract | This paper proposes a behavior prediction method for navigation application in dynamically changing environments, which predicts obstacle behaviors based on learned obstacle motion patterns (OMP) from observed obstacle motion trajectories. A multi-level prediction model is then proposed that predicts long-term or short-term obstacle behaviors. Simulation results show that it works well in a complex environment and the prediction is consistent with actual behaviors. © 2008 IEEE. | en_HK |
| dc.language | eng | en_HK |
| dc.publisher | I E E E. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=4740404 | - |
| dc.relation.ispartof | Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology | en_HK |
| dc.rights | ©2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. | - |
| dc.title | Behavior Prediction Based on Obstacle Motion Patterns in Dynamically Changing Environments | en_HK |
| dc.type | Conference_Paper | en_HK |
| dc.description.nature | published_or_final_version | - |
| dc.identifier.doi | 10.1109/WIIAT.2008.214 | en_HK |
| dc.identifier.scopus | eid_2-s2.0-62949181360 | - |
| dc.identifier.hkuros | 164709 | en_HK |
| dc.identifier.spage | 132 | en_HK |
| dc.identifier.epage | 135 | en_HK |
| dc.publisher.place | United States | - |