Using Support Vector Machines and Bayesian Filtering for Classifying Agent Intentions at Road Intersections
Classifying other agents’ intentions is a very complex task but it can be very essential in assisting (autonomous or human) agents in navigating safely in dynamic and possibly hostile environments. This paper introduces a classification approach based on support vector machines and Bayesian filterin...
| Main Authors: | , |
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| Format: | Technical Report |
| Language: | en_US |
| Published: |
2009
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| Subjects: | |
| Online Access: | http://hdl.handle.net/1721.1/46720 |