暂无分享,去创建一个
Igor Gilitschenski | Wilko Schwarting | Sertac Karaman | Alexander Amini | Tsun-Hsuan Wang | Daniela Rus | S. Karaman | Wilko Schwarting | Alexander Amini | Igor Gilitschenski | D. Rus | Tsun-Hsuan Wang
[1] Vladlen Koltun,et al. Learning by Cheating , 2019, CoRL.
[2] Guy Rosman,et al. Variational Autoencoder for End-to-End Control of Autonomous Driving with Novelty Detection and Training De-biasing , 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[3] Davide Scaramuzza,et al. Autonomous Overtaking in Gran Turismo Sport Using Curriculum Reinforcement Learning , 2021, 2021 IEEE International Conference on Robotics and Automation (ICRA).
[4] Daniela Rus,et al. Learning Robust Control Policies for End-to-End Autonomous Driving From Data-Driven Simulation , 2020, IEEE Robotics and Automation Letters.
[5] Alec Radford,et al. Proximal Policy Optimization Algorithms , 2017, ArXiv.
[6] Andreas Geiger,et al. Augmented Reality Meets Computer Vision: Efficient Data Generation for Urban Driving Scenes , 2017, International Journal of Computer Vision.
[7] Alexey Dosovitskiy,et al. End-to-End Driving Via Conditional Imitation Learning , 2017, 2018 IEEE International Conference on Robotics and Automation (ICRA).
[8] Eric P. Xing,et al. CIRL: Controllable Imitative Reinforcement Learning for Vision-based Self-driving , 2018, ECCV.
[9] Ersin Yumer,et al. GeoSim: Photorealistic Image Simulation with Geometry-Aware Composition , 2021, ArXiv.
[10] Malte Risto,et al. The social behavior of autonomous vehicles , 2016, UbiComp Adjunct.
[11] Vladlen Koltun,et al. On Offline Evaluation of Vision-based Driving Models , 2018, ECCV.
[12] Yang Gao,et al. End-to-End Learning of Driving Models from Large-Scale Video Datasets , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[13] Alex Kendall,et al. Urban Driving with Conditional Imitation Learning , 2019, 2020 IEEE International Conference on Robotics and Automation (ICRA).
[14] Sergey Tulyakov,et al. Playable Video Generation , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[15] Alex Bewley,et al. Learning to Drive from Simulation without Real World Labels , 2018, 2019 International Conference on Robotics and Automation (ICRA).
[16] Raquel Urtasun,et al. LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[17] John Lygeros,et al. A Noncooperative Game Approach to Autonomous Racing , 2017, IEEE Transactions on Control Systems Technology.
[18] Mayank Bansal,et al. ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst , 2018, Robotics: Science and Systems.
[19] Ali Farhadi,et al. RoboTHOR: An Open Simulation-to-Real Embodied AI Platform , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[20] Jitendra Malik,et al. Gibson Env: Real-World Perception for Embodied Agents , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[21] Radu Grosu,et al. Model-based versus Model-free Deep Reinforcement Learning for Autonomous Racing Cars , 2021, ArXiv.
[22] Cewu Lu,et al. Virtual to Real Reinforcement Learning for Autonomous Driving , 2017, BMVC.
[23] W. Zhang,et al. Autonomous Robot Navigation Based on Multi-Camera Perception , 2020, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[24] Ashish Mehta,et al. Learning End-to-end Autonomous Driving using Guided Auxiliary Supervision , 2018, ICVGIP.
[25] Vladlen Koltun,et al. Deep Drone Racing: From Simulation to Reality With Domain Randomization , 2019, IEEE Transactions on Robotics.
[26] Daniela Rus,et al. Stochastic Dynamic Games in Belief Space , 2021, IEEE Transactions on Robotics.
[27] Konstantin Sofiiuk,et al. Foreground-aware Semantic Representations for Image Harmonization , 2020, 2021 IEEE Winter Conference on Applications of Computer Vision (WACV).
[28] Sertac Karaman,et al. FlightGoggles: Photorealistic Sensor Simulation for Perception-driven Robotics using Photogrammetry and Virtual Reality , 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[29] Matthew A. Brown,et al. Learning to Segment via Cut-and-Paste , 2018, ECCV.
[30] D. Manocha,et al. AADS: Augmented autonomous driving simulation using data-driven algorithms , 2019, Science Robotics.
[31] Fabien Moutarde,et al. End to End Vehicle Lateral Control Using a Single Fisheye Camera , 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[32] Edwin Olson,et al. Multipolicy decision-making for autonomous driving via changepoint-based behavior prediction: Theory and experiment , 2017, Auton. Robots.
[33] Vicenç Puig,et al. Autonomous racing using Linear Parameter Varying-Model Predictive Control (LPV-MPC) , 2020 .
[34] John Lygeros,et al. Efficient implementation of Randomized MPC for miniature race cars , 2016, 2016 European Control Conference (ECC).
[35] Yuval Tassa,et al. MuJoCo: A physics engine for model-based control , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[36] Dean Pomerleau,et al. ALVINN, an autonomous land vehicle in a neural network , 2015 .
[37] Radu Grosu,et al. Neural circuit policies enabling auditable autonomy , 2020, Nature Machine Intelligence.
[38] Marin Toromanoff,et al. End-to-End Model-Free Reinforcement Learning for Urban Driving Using Implicit Affordances , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[39] James M. Rehg,et al. Autonomous Racing with AutoRally Vehicles and Differential Games , 2017, ArXiv.
[40] Yi Xiao,et al. Multimodal End-to-End Autonomous Driving , 2019, IEEE Transactions on Intelligent Transportation Systems.
[41] Wojciech Zaremba,et al. Domain randomization for transferring deep neural networks from simulation to the real world , 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[42] Ashish Kapoor,et al. AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles , 2017, FSR.
[43] Xin Zhang,et al. End to End Learning for Self-Driving Cars , 2016, ArXiv.
[44] Liam Paull,et al. Learning Steering Bounds for Parallel Autonomous Systems , 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).
[45] Andreas Geiger,et al. Conditional Affordance Learning for Driving in Urban Environments , 2018, CoRL.
[46] Guy Rosman,et al. Variational End-to-End Navigation and Localization , 2018, 2019 International Conference on Robotics and Automation (ICRA).
[47] David Janz,et al. Learning to Drive in a Day , 2018, 2019 International Conference on Robotics and Automation (ICRA).
[48] Johann Marius Zöllner,et al. Calibrating Uncertainty Models for Steering Angle Estimation , 2019, 2019 IEEE Intelligent Transportation Systems Conference (ITSC).
[49] Germán Ros,et al. CARLA: An Open Urban Driving Simulator , 2017, CoRL.
[50] Yuval Tassa,et al. dm_control: Software and Tasks for Continuous Control , 2020, Softw. Impacts.
[51] Roland Siegwart,et al. From perception to decision: A data-driven approach to end-to-end motion planning for autonomous ground robots , 2016, 2017 IEEE International Conference on Robotics and Automation (ICRA).
[52] Jitendra Malik,et al. Habitat: A Platform for Embodied AI Research , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[53] Raquel Urtasun,et al. V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction , 2020, ECCV.
[54] John Lygeros,et al. Real-Time Control for Autonomous Racing Based on Viability Theory , 2017, IEEE Transactions on Control Systems Technology.
[55] S. Karaman,et al. Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space , 2021, CoRL.
[56] Sergey Levine,et al. Deep Imitative Models for Flexible Inference, Planning, and Control , 2018, ICLR.