End-to-end tracking and semantic segmentation using recurrent neural networks
In this work we present a novel end-to-end framework for tracking and classifying a robot’s surroundings in complex, dynamic and only partially observable real-world environments. The approach deploys a recurrent neural network to filter an input stream of raw laser measurements in order to directly...
| Main Authors: | , , , |
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| Format: | Conference item |
| Published: |
Robotics: Science and Systems
2016
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