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Learning to Drive: Using Visual Odometry to Bootstrap Deep Learning for Off-Road Path Prediction

Holder, C.; Breckon, T.P.

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Authors

C. Holder



Citation

Holder, C., & Breckon, T. (2018). Learning to Drive: Using Visual Odometry to Bootstrap Deep Learning for Off-Road Path Prediction. In Proc. Intelligent Vehicles Symposium (2104-2110). https://doi.org/10.1109/IVS.2018.8500526

Conference Name The 29th Intelligent Vehicles Symposium (IEEE IV 2018).
Conference Location Changshu, China
Start Date Jun 26, 2018
End Date Jun 29, 2018
Acceptance Date Apr 16, 2018
Publication Date 2018
Deposit Date May 4, 2018
Publicly Available Date Mar 28, 2024
Publisher Institute of Electrical and Electronics Engineers
Pages 2104-2110
Book Title Proc. Intelligent Vehicles Symposium
DOI https://doi.org/10.1109/IVS.2018.8500526
Keywords end-to-end autonomous driving, off-road autonomous vehicles, stereo visual odometry, path prediction, steering control
Public URL https://durham-repository.worktribe.com/output/1145549
Publisher URL http://www.2018iv.org/

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© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.





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