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
Team NCTU: Toward AI-Driving for Autonomous Surface Vehicles -- From Duckietown to RobotX Yi-Wei Huang Tzu-Kuan Chuang Ni-Ching Lin Yu-Chieh Hsiao Pin-Wei Chen ... Sin-Kiat Lim K. Lua Chia-Hung Dylan Tsai Chi-Fang Chen Hsueh-Cheng Wang 28 6 0 31 Oct 2019
Deep Learning and Control Algorithms of Direct Perception for Autonomous Driving Der-Hau Lee Kuan-Lin Chen Kuan-Han Liou Chang-Lun Liu Jinn-Liang Liu BDL 22 58 0 26 Oct 2019
Real-World Image Datasets for Federated Learning Jiahuan Luo Xueyang Wu Yu Luo Anbu Huang Yunfeng Huang Yang Liu Qiang Yang FedML 28 97 0 14 Oct 2019
Characterizing Deep Learning Training Workloads on Alibaba-PAI Mengdi Wang Chen Meng Guoping Long Chuan Wu Jun Yang Wei Lin Yangqing Jia 27 54 0 14 Oct 2019
Generating Human Action Videos by Coupling 3D Game Engines and Probabilistic Graphical Models César Roberto de Souza Adrien Gaidon Yohann Cabon Naila Murray A. Peña 39 14 0 12 Oct 2019
Autonomous Driving using Safe Reinforcement Learning by Incorporating a Regret-based Human Lane-Changing Decision Model Dong Chen Longsheng Jiang Yue Wang Zhaojian Li 22 62 0 10 Oct 2019
Review of Learning-based Longitudinal Motion Planning for Autonomous Vehicles: Research Gaps between Self-driving and Traffic Congestion Hao Zhou Jorge A. Laval Anye Zhou Yu Wang W. Wu Zhuo Qing S. Peeta 18 37 0 02 Oct 2019
Training-Free Uncertainty Estimation for Dense Regression: Sensitivity as a Surrogate Lu Mi Hao Wang Yonglong Tian Hao He Nir Shavit UQCV 26 30 0 28 Sep 2019
An Empirical Study towards Characterizing Deep Learning Development and Deployment across Different Frameworks and Platforms Qianyu Guo Sen Chen Xiaofei Xie Lei Ma Q. Hu Hongtao Liu Yang Liu Jianjun Zhao Xiaohong Li 38 122 0 15 Sep 2019
Driving in Dense Traffic with Model-Free Reinforcement Learning D. Saxena S. Bae A. Nakhaei K. Fujimura Maxim Likhachev 27 86 0 15 Sep 2019
A Novel Design of Adaptive and Hierarchical Convolutional Neural Networks using Partial Reconfiguration on FPGA Mohammad Farhadi Mehdi Ghasemi Yezhou Yang 22 27 0 05 Sep 2019
Februus: Input Purification Defense Against Trojan Attacks on Deep Neural Network Systems Bao Gia Doan Ehsan Abbasnejad Damith C. Ranasinghe AAML 27 66 0 09 Aug 2019
Finite-Time Performance of Distributed Temporal Difference Learning with Linear Function Approximation Thinh T. Doan S. T. Maguluri Justin Romberg 30 41 0 25 Jul 2019
Adaptive Regularization via Residual Smoothing in Deep Learning Optimization Jung-Kyun Cho Junseok Kwon Byung-Woo Hong 31 1 0 23 Jul 2019
ADAPS: Autonomous Driving Via Principled Simulations Weizi Li D. Wolinski Ming Lin 27 46 0 20 Jul 2019
Deep Reinforcement-Learning-based Driving Policy for Autonomous Road Vehicles Konstantinos Makantasis Maria Kontorinaki I. Nikolos 24 33 0 10 Jul 2019
PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving Zelun Kong Junfeng Guo Ang Li Cong Liu AAML 41 126 0 09 Jul 2019
Human detection of machine manipulated media Matthew Groh Ziv Epstein Nick Obradovich Manuel Cebrian Iyad Rahwan 20 21 0 06 Jul 2019
Defending Against Adversarial Examples with K-Nearest Neighbor Chawin Sitawarin David Wagner AAML 11 29 0 23 Jun 2019
Machine Learning Testing: Survey, Landscapes and Horizons Jie M. Zhang Mark Harman Lei Ma Yang Liu VLM AILaw 39 741 0 19 Jun 2019
A Survey of Autonomous Driving: Common Practices and Emerging Technologies Ekim Yurtsever Jacob Lambert Alexander Carballo K. Takeda 58 1,345 0 12 Jun 2019
Pattern-Affinitive Propagation across Depth, Surface Normal and Semantic Segmentation Zhenyu Zhang Zhen Cui Chunyan Xu Yan Yan N. Sebe Jian Yang MDE 17 282 0 08 Jun 2019
Multimodal End-to-End Autonomous Driving Yi Xiao Felipe Codevilla A. Gurram O. Urfalioglu Antonio M. López 19 241 0 07 Jun 2019
A Survey of Behavior Learning Applications in Robotics -- State of the Art and Perspectives Alexander Fabisch Christoph Petzoldt M. Otto Frank Kirchner AI4CE 17 13 0 05 Jun 2019
Terminal Brain Damage: Exposing the Graceless Degradation in Deep Neural Networks Under Hardware Fault Attacks Sanghyun Hong Pietro Frigo Yigitcan Kaya Cristiano Giuffrida Tudor Dumitras AAML 22 211 0 03 Jun 2019
Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and The Way Forward A. Qayyum Muhammad Usama Junaid Qadir Ala I. Al-Fuqaha AAML 27 187 0 29 May 2019
Deep Representation Learning for Road Detection through Siamese Network Huafeng Liu Xiaofeng Han Xiangrui Li Yazhou Yao Pu Huang Zhenmin Tang 3DPC 24 15 0 26 May 2019
Road Segmentation with Image-LiDAR Data Fusion Huafeng Liu Yazhou Yao Zeren Sun Xiangrui Li Ke Jia Zhenmin Tang 23 14 0 26 May 2019
Deep Drone Racing: From Simulation to Reality with Domain Randomization Antonio Loquercio Elia Kaufmann René Ranftl Alexey Dosovitskiy V. Koltun Davide Scaramuzza 36 209 0 21 May 2019
Approximate LSTMs for Time-Constrained Inference: Enabling Fast Reaction in Self-Driving Cars Alexandros Kouris Stylianos I. Venieris Michail Rizakis C. Bouganis AI4TS 24 12 0 02 May 2019
Deep Fitting Degree Scoring Network for Monocular 3D Object Detection Lijie Liu Jiwen Lu Chunjing Xu Qi Tian Jie Zhou 3DPC 24 155 0 26 Apr 2019
Learning a Controller Fusion Network by Online Trajectory Filtering for Vision-based UAV Racing Matthias Muller Guohao Li Vincent Casser Neil G. Smith D. L. Michels Guohao Li 18 13 0 18 Apr 2019
Learning Accurate, Comfortable and Human-like Driving Simon Hecker Dengxin Dai Luc Van Gool 27 29 0 26 Mar 2019
Deep Learning on Mobile Devices - A Review Yunbin Deng 27 120 0 21 Mar 2019
Architecting Dependable Learning-enabled Autonomous Systems: A Survey Chih-Hong Cheng Dhiraj Gulati Rongjie Yan 27 4 0 27 Feb 2019
Long-Range Indoor Navigation with PRM-RL Anthony G. Francis Aleksandra Faust H. Chiang Jasmine Hsu J. Kew Marek Fiser T. Lee 21 141 0 25 Feb 2019
Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges Di Feng Christian Haase-Schuetz Lars Rosenbaum Heinz Hertlein Claudius Gläser Fabian Duffhauss W. Wiesbeck Klaus C. J. Dietmayer 3DPC 46 989 0 21 Feb 2019
Dynamic-Weighted Simplex Strategy for Learning Enabled Cyber Physical Systems Shreyas Ramakrishna Charles Hartsell Matthew P. Burruss G. Karsai A. Dubey 29 14 0 06 Feb 2019
Vision-Based High Speed Driving with a Deep Dynamic Observer P. Drews Grady Williams Brian Goldfain Evangelos A. Theodorou James M. Rehg 25 49 0 05 Dec 2018
Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning Mitchell Wortsman Kiana Ehsani Mohammad Rastegari Ali Farhadi Roozbeh Mottaghi SSL 25 222 0 03 Dec 2018
PEARL: PrEference Appraisal Reinforcement Learning for Motion Planning Aleksandra Faust H. Chiang Lydia Tapia 27 3 0 30 Nov 2018
Deep Reinforcement Learning for Time Optimal Velocity Control using Prior Knowledge G. Hartmann Z. Shiller A. Azaria 31 24 0 28 Nov 2018
Strike (with) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects Michael A. Alcorn Melvin Johnson Zhitao Gong Chengfei Wang Long Mai Naveen Ari Stella Laurenzo 47 299 0 28 Nov 2018
Activation Functions: Comparison of trends in Practice and Research for Deep Learning S. Bodenstedt Dominik Rivoir A. Gachagan S. T. Mees 33 1,269 0 08 Nov 2018
Toward Driving Scene Understanding: A Dataset for Learning Driver Behavior and Causal Reasoning Vasili Ramanishka Yi-Ting Chen Teruhisa Misu Kate Saenko 30 277 0 06 Nov 2018
Machine Learning Methods for Track Classification in the AT-TPC M. Kuchera R. Ramanujan Jack Z. Taylor R. Strauss D. Bazin J. Bradt Ruiming Chen 24 32 0 21 Oct 2018
Visual Semantic Navigation using Scene Priors Wei Yang Xinyu Wang Ali Farhadi Abhinav Gupta Roozbeh Mottaghi LM&Ro 33 320 0 15 Oct 2018
Secure Deep Learning Engineering: A Software Quality Assurance Perspective Lei Ma Felix Juefei Xu Minhui Xue Q. Hu Sen Chen Yue Liu Yang Liu Jianjun Zhao Jianxiong Yin Simon See AAML 27 35 0 10 Oct 2018
Security Analysis of Deep Neural Networks Operating in the Presence of Cache Side-Channel Attacks Sanghyun Hong Michael Davinroy Yigitcan Kaya S. Locke Ian Rackow Kevin Kulda Dana Dachman-Soled Tudor Dumitras MIACV 25 90 0 08 Oct 2018
Learning Depth with Convolutional Spatial Propagation Network Xinjing Cheng Peng Wang Ruigang Yang 3DV 3DPC MDE 61 311 0 04 Oct 2018