Deep tracking in the wild: End-to-end tracking using recurrent neural networks
This paper presents a novel approach for tracking static and dynamic objects for an autonomous vehicle operating in complex urban environments. Whereas traditional approaches for tracking often feature numerous hand-engineered stages, this method is learned end-to-end and can directly predict a full...
Główni autorzy: | Dequaire, J, Ondrúška, P, Rao, D, Wang, D, Posner, H |
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Format: | Journal article |
Wydane: |
SAGE Publications
2017
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