Learning Steering Bounds for Parallel Autonomous Systems
Deep learning has been successfully applied to “end-to-end” learning of the autonomous driving task, where a deep neural network learns to predict steering control commands from camera data input. While these previous works support reactionary control, the representation learned is not usable...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2018
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| Online Access: | http://hdl.handle.net/1721.1/117632 https://orcid.org/0000-0002-9673-1267 https://orcid.org/0000-0003-2492-6660 https://orcid.org/0000-0002-2225-7275 https://orcid.org/0000-0001-5473-3566 |