Learning End-to-End Autonomous Steering Model from Spatial and Temporal Visual Cues-Reference-Cited by-同舟云学术

Learning End-to-End Autonomous Steering Model from Spatial and Temporal Visual Cues

Published:2017 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Workshop on Visual Analysis in Smart and Connected Communities - VSCC '17
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Author:

Chi Lu¹,Mu Yadong¹

Affiliation:

1. Peking University, Beijing, China

Funder

National Natural Science Foundation of China

Publisher

ACM Press

Reference19 articles.

1. Mariusz Bojarski, Anna Choromanska, Krzysztof Choromanski, Bernhard Firner, Larry D. Jackel, Urs Muller, and Karol Zieba. 2016. VisualBackProp: visualizing CNNs for autonomous driving. CoRR Vol. abs/1611.05418 (2016). http://arxiv.org/abs/1611.05418

2. Mariusz Bojarski, Davide Del Testa, Daniel Dworakowski, Bernhard Firner, Beat Flepp, Prasoon Goyal, Lawrence D. Jackel, Mathew Monfort, Urs Muller, Jiakai Zhang, Xin Zhang, Jake Zhao, and Karol Zieba. 2016. End to End Learning for Self-Driving Cars. CoRR Vol. abs/1604.07316 (2016).

3. Mariusz Bojarski, Philip Yeres, Anna Choromanska, Krzysztof Choromanski, Bernhard Firner, Lawrence D. Jackel, and Urs Muller. 2017. Explaining How a Deep Neural Network Trained with End-to-End Learning Steers a Car. CoRR Vol. abs/1704.07911 (2017).

4. Chenyi Chen, Ari Seff, Alain L. Kornhauser, and Jianxiong Xiao. 2015. DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving ICCV.

5. Jifeng Dai, Yi Li, Kaiming He, and Jian Sun. 2016. R-FCN: Object Detection via Region-based Fully Convolutional Networks NIPS.

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