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

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.

Cited by 30 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Toward Trustworthy Automated Driving through Qualitative Scene Understanding and Explanations;SAE International Journal of Connected and Automated Vehicles;2024-07-12

2. Interpreting Autonomous Driving Corner Cases: A Visual Analytics Approach;2024 IEEE 17th Pacific Visualization Conference (PacificVis);2024-04-23

3. Applications of Deep Learning Models in Diverse Streams of IoT;Learning Techniques for the Internet of Things;2023-11-25

4. Bandit-based data poisoning attack against federated learning for autonomous driving models;Expert Systems with Applications;2023-10

5. Application of Improved PilotNet Intelligent Traffic Algorithm Based on Baidu PaddlePaddle;2023 6th International Conference on Information Communication and Signal Processing (ICICSP);2023-09-23

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3