MMFN: Multi-Modal-Fusion-Net for End-to-End Driving
Author:
Affiliation:
1. Robotics Institute, The Hong Kong University of Science and Technology,Hong Kong,SAR,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9981026/9981028/09981775.pdf?arnumber=9981775
Reference23 articles.
1. Backpropagation Applied to Handwritten Zip Code Recognition
2. End-to-End Urban Driving by Imitating a Reinforcement Learning Coach
3. PointPillars: Fast Encoders for Object Detection From Point Clouds
4. End to end learning for self-driving cars;bojarski;ArXiv Preprint,2016
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