Reinforcement Learning and Deep Learning based Lateral Control for Autonomous Driving

The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences

[1]  Demis Hassabis,et al.  Mastering the game of Go without human knowledge , 2017, Nature.

[2]  Francesco Borrelli,et al.  Kinematic and dynamic vehicle models for autonomous driving control design , 2015, 2015 IEEE Intelligent Vehicles Symposium (IV).

[3]  Han Liu,et al.  Blockwise coordinate descent procedures for the multi-task lasso, with applications to neural semantic basis discovery , 2009, ICML '09.

[4]  Philip S. Yu,et al.  Learning Multiple Tasks with Multilinear Relationship Networks , 2015, NIPS.

[5]  Julian Togelius,et al.  The WCCI 2008 simulated car racing competition , 2008, 2008 IEEE Symposium On Computational Intelligence and Games.

[6]  Roberto Cipolla,et al.  Multi-task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

[7]  Mahesan Niranjan,et al.  On-line Q-learning using connectionist systems , 1994 .

[8]  Frank L. Lewis,et al.  Adaptive Optimal Control of Unknown Constrained-Input Systems Using Policy Iteration and Neural Networks , 2013, IEEE Transactions on Neural Networks and Learning Systems.

[9]  Yann LeCun,et al.  Off-Road Obstacle Avoidance through End-to-End Learning , 2005, NIPS.

[10]  Guy Lever,et al.  Deterministic Policy Gradient Algorithms , 2014, ICML.

[11]  William Whittaker,et al.  Autonomous driving in urban environments: Boss and the Urban Challenge , 2008, J. Field Robotics.

[12]  Rich Caruana,et al.  Multitask Learning , 1998, Encyclopedia of Machine Learning and Data Mining.

[13]  Long-Ji Lin,et al.  Reinforcement learning for robots using neural networks , 1992 .

[14]  K Yi,et al.  An investigation of intelligent cruise control laws for passenger vehicles , 2001 .

[15]  Huaguang Zhang,et al.  Adaptive Dynamic Programming: An Introduction , 2009, IEEE Computational Intelligence Magazine.

[16]  Jennie Si,et al.  Online learning control by association and reinforcement. , 2001, IEEE transactions on neural networks.

[17]  Geoffrey J. Gordon,et al.  A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning , 2010, AISTATS.

[18]  Richard S. Sutton,et al.  Learning to predict by the methods of temporal differences , 1988, Machine Learning.

[19]  Yuval Tassa,et al.  Continuous control with deep reinforcement learning , 2015, ICLR.

[20]  Faroog Ibrahim,et al.  Interacting multiple model road curvature estimation , 2012, 2012 15th International IEEE Conference on Intelligent Transportation Systems.

[21]  菊竹玉記,et al.  Collision warning system , 2006 .

[22]  J. Andrew Bagnell,et al.  Efficient Reductions for Imitation Learning , 2010, AISTATS.

[23]  Andreas Geiger,et al.  Are we ready for autonomous driving? The KITTI vision benchmark suite , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

[24]  Sebastian Thrun,et al.  Junior: The Stanford entry in the Urban Challenge , 2008, J. Field Robotics.

[25]  Julian Togelius,et al.  The 2009 Simulated Car Racing Championship , 2010, IEEE Transactions on Computational Intelligence and AI in Games.

[26]  Seunghak Lee,et al.  Adaptive Multi-Task Lasso: with Application to eQTL Detection , 2010, NIPS.

[27]  Jianqiang Yi,et al.  Building Energy Consumption Prediction: An Extreme Deep Learning Approach , 2017 .

[28]  Christos Dimitrakakis,et al.  TORCS, The Open Racing Car Simulator , 2005 .

[29]  Dongbin Zhao,et al.  Deep Reinforcement Learning With Visual Attention for Vehicle Classification , 2017, IEEE Transactions on Cognitive and Developmental Systems.

[30]  Ben J. A. Kröse,et al.  Learning from delayed rewards , 1995, Robotics Auton. Syst..

[31]  Jimmy Ba,et al.  Adam: A Method for Stochastic Optimization , 2014, ICLR.

[32]  Nitish Srivastava,et al.  Dropout: a simple way to prevent neural networks from overfitting , 2014, J. Mach. Learn. Res..

[33]  Yu Cheng,et al.  Fully-Adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[34]  Dongbin Zhao,et al.  A pdf-Free Change Detection Test Based on Density Difference Estimation , 2018, IEEE Trans. Neural Networks Learn. Syst..

[35]  Yi Yang,et al.  Lateral control of autonomous vehicles based on fuzzy logic , 2013, 2013 25th Chinese Control and Decision Conference (CCDC).

[36]  Ronald J. Williams,et al.  Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning , 2004, Machine Learning.

[37]  Sanja Fidler,et al.  Monocular 3D Object Detection for Autonomous Driving , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[38]  Richard S. Sutton,et al.  Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.

[39]  Lucas Manuelli,et al.  Reinforcement Learning for Autonomous Driving Obstacle Avoidance using LIDAR , 2017 .

[40]  Martial Hebert,et al.  Cross-Stitch Networks for Multi-task Learning , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[41]  Dongbin Zhao,et al.  Adaptive Optimal Control of Heterogeneous CACC System With Uncertain Dynamics , 2019, IEEE Transactions on Control Systems Technology.

[42]  Francesco Borrelli,et al.  MPC-Based Approach to Active Steering for Autonomous Vehicle Systems , 2005 .

[43]  Vidya N. Murali,et al.  DeepLanes: End-To-End Lane Position Estimation Using Deep Neural Networks , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

[44]  Hermann Winner,et al.  Autonomous Driving: Technical, Legal and Social Aspects , 2016 .

[45]  Jitendra Malik,et al.  A Comparative Study of Vision-Based Lateral Control Strategies for Autonomous Highway Driving , 1998, Proceedings. 1998 IEEE International Conference on Robotics and Automation (Cat. No.98CH36146).

[46]  Qichao Zhang,et al.  Experience Replay for Optimal Control of Nonzero-Sum Game Systems With Unknown Dynamics , 2016, IEEE Transactions on Cybernetics.

[47]  Massimiliano Pontil,et al.  Multi-Task Feature Learning , 2006, NIPS.

[48]  Dongbin Zhao,et al.  Full-range adaptive cruise control based on supervised adaptive dynamic programming , 2014, Neurocomputing.

[49]  Jianxiong Xiao,et al.  DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

[50]  H. Jin Kim,et al.  Autonomous lane keeping based on approximate Q-learning , 2017, 2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI).

[51]  Qichao Zhang,et al.  Model-Free Optimal Control Based Intelligent Cruise Control with Hardware-in-the-Loop Demonstration [Research Frontier] , 2017, IEEE Computational Intelligence Magazine.

[52]  Rajesh Rajamani,et al.  Vehicle dynamics and control , 2005 .

[53]  David Silver,et al.  High Performance Outdoor Navigation from Overhead Data using Imitation Learning , 2008, Robotics: Science and Systems.

[54]  Shane Legg,et al.  Human-level control through deep reinforcement learning , 2015, Nature.

[55]  Qichao Zhang,et al.  Multi-task learning for dangerous object detection in autonomous driving , 2017, Inf. Sci..