DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving

1 May 2015

Papers citing "DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving"

50 / 265 papers shown

Title
Learning Navigation Behaviors End-to-End with AutoRL H. Chiang Aleksandra Faust Marek Fiser Anthony G. Francis 30 234 0 26 Sep 2018
On Offline Evaluation of Vision-based Driving Models Felipe Codevilla Antonio M. López V. Koltun Alexey Dosovitskiy OffRL 20 102 0 13 Sep 2018
Visual Affordance and Function Understanding: A Survey Mohammed Hassanin Salman Khan M. Tahtali 26 48 0 18 Jul 2018
Object Detection with Deep Learning: A Review Zhong-Qiu Zhao Peng Zheng Shou-tao Xu Xindong Wu ObjD 42 3,959 0 15 Jul 2018
End-to-End Race Driving with Deep Reinforcement Learning M. Jaritz Raoul de Charette Marin Toromanoff E. Perot F. Nashashibi 22 167 0 06 Jul 2018
Collaborative Annotation of Semantic Objects in Images with Multi-granularity Supervisions Lishi Zhang Chenghan Fu Jia Li 30 8 0 27 Jun 2018
Conditional Affordance Learning for Driving in Urban Environments Axel Sauer Nikolay Savinov Andreas Geiger 18 186 0 18 Jun 2018
Hardware Trojan Attacks on Neural Networks Joseph Clements Yingjie Lao AAML 27 89 0 14 Jun 2018
Modeling Preemptive Behaviors for Uncommon Hazardous Situations From Demonstrations Priyam Parashar Akansel Cosgun A. Nakhaei K. Fujimura 33 3 0 01 Jun 2018
Reinforced Imitation: Sample Efficient Deep Reinforcement Learning for Map-less Navigation by Leveraging Prior Demonstrations Mark Pfeiffer Samarth Shukla M. Turchetta Cesar Cadena Andreas Krause Roland Siegwart Juan I. Nieto 27 157 0 18 May 2018
Learning Temporal Strategic Relationships using Generative Adversarial Imitation Learning Tharindu Fernando Simon Denman Sridha Sridharan Clinton Fookes GAN 29 26 0 13 May 2018
Curriculum Adversarial Training Qi-Zhi Cai Min Du Chang-rui Liu D. Song AAML 27 160 0 13 May 2018
Driving Policy Transfer via Modularity and Abstraction Matthias Muller Alexey Dosovitskiy Guohao Li V. Koltun 37 224 0 25 Apr 2018
Multi-scale Location-aware Kernel Representation for Object Detection Hao Wang Qilong Wang Mingqi Gao P. Li W. Zuo ObjD 27 66 0 02 Apr 2018
End-to-End Learning of Driving Models with Surround-View Cameras and Route Planners Simon Hecker Dengxin Dai Luc Van Gool 27 164 0 27 Mar 2018
A Survey of Deep Learning Techniques for Mobile Robot Applications Jahanzaib Shabbir T. Anwer 34 36 0 20 Mar 2018
Toolflows for Mapping Convolutional Neural Networks on FPGAs: A Survey and Future Directions Stylianos I. Venieris Alexandros Kouris C. Bouganis 19 184 0 15 Mar 2018
GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose Zhichao Yin Jianping Shi MDE 11 1,133 0 06 Mar 2018
Escoin: Efficient Sparse Convolutional Neural Network Inference on GPUs Xuhao Chen 21 25 0 28 Feb 2018
Generalizable Adversarial Examples Detection Based on Bi-model Decision Mismatch João Monteiro Isabela Albuquerque Zahid Akhtar T. Falk AAML 46 29 0 21 Feb 2018
Training Deep Face Recognition Systems with Synthetic Data Adam Kortylewski Andreas C. Schneider Thomas Gerig Bernhard Egger Andreas Morel-Forster T. Vetter 42 48 0 16 Feb 2018
Deep UQ: Learning deep neural network surrogate models for high dimensional uncertainty quantification Rohit Tripathy Ilias Bilionis AI4CE 27 403 0 02 Feb 2018
End-to-end Multi-Modal Multi-Task Vehicle Control for Self-Driving Cars with Visual Perception Zhengyuan Yang Yixuan Zhang Jerry Yu Junjie Cai Jiebo Luo 24 154 0 20 Jan 2018
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning Xinyun Chen Chang-rui Liu Yue Liu Kimberly Lu D. Song AAML SILM 44 1,808 0 15 Dec 2017
A trans-disciplinary review of deep learning research for water resources scientists Chaopeng Shen AI4CE 38 682 0 06 Dec 2017
Empirically Analyzing the Effect of Dataset Biases on Deep Face Recognition Systems Adam Kortylewski Bernhard Egger Andreas C. Schneider Thomas Gerig Andreas Morel-Forster T. Vetter CVBM 35 71 0 05 Dec 2017
Beyond Grand Theft Auto V for Training, Testing and Enhancing Deep Learning in Self Driving Cars Mark Martinez Chawin Sitawarin Kevin Finch Lennart Meincke Alex Yablonski A. Kornhauser 10 77 0 04 Dec 2017
CARLA: An Open Urban Driving Simulator Alexey Dosovitskiy G. Ros Felipe Codevilla Antonio M. López V. Koltun VLM 104 5,079 0 10 Nov 2017
Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous Navigation Wei Gao David Hsu Wee Sun Lee Shengmei Shen K. Subramanian 26 116 0 16 Oct 2017
PRM-RL: Long-range Robotic Navigation Tasks by Combining Reinforcement Learning and Sampling-based Planning Aleksandra Faust Oscar Ramirez Marek Fiser Kenneth Oslund Anthony G. Francis James Davidson Lydia Tapia 33 290 0 11 Oct 2017
End-to-end Driving via Conditional Imitation Learning Felipe Codevilla Matthias Muller Antonio M. López V. Koltun Alexey Dosovitskiy 24 1,060 0 06 Oct 2017
Self-supervised Deep Reinforcement Learning with Generalized Computation Graphs for Robot Navigation G. Kahn Adam R. Villaflor Bosen Ding Pieter Abbeel Sergey Levine SSL 48 287 0 29 Sep 2017
Resilient Linear Classification: An Approach to Deal with Attacks on Training Data Sangdon Park James Weimer Insup Lee AAML 16 6 0 10 Aug 2017
An Iterative BP-CNN Architecture for Channel Decoding Fei Liang Cong Shen Feng Wu 31 236 0 18 Jul 2017
Deep Semantic Segmentation for Automated Driving: Taxonomy, Roadmap and Challenges Mennatullah Siam Sara Elkerdawy Martin Jägersand S. Yogamani 124 166 0 08 Jul 2017
End-to-end Learning of Image based Lane-Change Decision Seong-Gyun Jeong Jiwon Kim Sujung Kim Jaesik Min 41 24 0 26 Jun 2017
Multi-Modal Trip Hazard Affordance Detection On Construction Sites Sean McMahon Niko Sünderhauf B. Upcroft Michael Milford 38 17 0 21 Jun 2017
Learning End-to-end Multimodal Sensor Policies for Autonomous Navigation Guan-Horng Liu Avinash Siravuru Sai P. Selvaraj Manuela Veloso George Kantor 16 69 0 30 May 2017
Obstacle Avoidance through Deep Networks based Intermediate Perception Shichao Yang Sandeep Konam Chen Ma Stephanie Rosenthal Manuela Veloso Sebastian Scherer 26 39 0 27 Apr 2017
Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Art J. Janai Fatma Guney Aseem Behl Andreas Geiger 10 787 0 18 Apr 2017
Interpretable Learning for Self-Driving Cars by Visualizing Causal Attention Jinkyu Kim John F. Canny FAtt XAI OOD MILM CML 50 333 0 30 Mar 2017
Feature Analysis and Selection for Training an End-to-End Autonomous Vehicle Controller Using the Deep Learning Approach Shun Yang Wenshuo Wang Chang-rui Liu W. Deng J. Hedrick 27 44 0 28 Mar 2017
LIDAR-based Driving Path Generation Using Fully Convolutional Neural Networks Luca Caltagirone M. Bellone Lennart Svensson M. Wahde 3DPC 17 60 0 27 Mar 2017
Imitating Driver Behavior with Generative Adversarial Networks Alex Kuefler Jeremy Morton T. Wheeler Mykel Kochenderfer GAN 35 405 0 24 Jan 2017
From Virtual to Real World Visual Perception using Domain Adaptation -- The DPM as Example Antonio M. López Jiaolong Xu J. L. Gómez David Vazquez G. Ros 22 11 0 29 Dec 2016
ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events Evan Racah Christopher Beckham Tegan Maharaj Samira Ebrahimi Kahou P. Prabhat C. Pal 27 18 0 07 Dec 2016
End-to-end Learning of Driving Models from Large-scale Video Datasets Huazhe Xu Yang Gao Feng Yu Trevor Darrell 44 822 0 04 Dec 2016
TorontoCity: Seeing the World with a Million Eyes Shenlong Wang Min Bai Gellért Máttyus Hang Chu Wenjie Luo Binh Yang Justin Liang Joel Cheverie Sanja Fidler R. Urtasun 3DV ViT 24 178 0 01 Dec 2016
Combining Deep Reinforcement Learning and Safety Based Control for Autonomous Driving Xincheng Xiong Jianqiang Wang Fang Zhang Keqiang Li 34 66 0 01 Dec 2016
Learning from Maps: Visual Common Sense for Autonomous Driving Ari Seff Jianxiong Xiao SSL 21 44 0 25 Nov 2016