自动驾驶 - arXivDaily 专题

2005.05178 2020-05-12 cs.RO cs.AI cs.LG cs.SY eess.SY stat.ML 62%

DeepRacing: Parameterized Trajectories for Autonomous Racing

Trent Weiss, Madhur Behl

专题命中规划控制：end-to-end driving(abstract)；分类 cs.RO、cs.AI

2005.04298 2020-05-12 cs.CV cs.LG cs.RO 62%

Attentional Bottleneck: Towards an Interpretable Deep Driving Network

Jinkyu Kim, Mayank Bansal

专题命中规划控制：self-driving(abstract)；分类 cs.RO、cs.CV

2004.14362 2020-04-30 eess.SY cs.AI cs.RO cs.SY 62%

TS-MPC for Autonomous Vehicle using a Learning Approach

Eugenio Alcalá, Olivier Sename, Vicenç Puig, Joseba Quevedo

专题命中规划控制：autonomous driving(abstract)；分类 cs.RO、cs.AI

Comments 6 pages, 7 figures, IFAC 2020 World Congress

1908.05674 2020-04-24 cs.CV cs.LG eess.IV 62%

Bypass Enhancement RGB Stream Model for Pedestrian Action Recognition of Autonomous Vehicles

Dong Cao, Lisha Xu

专题命中规划控制：autonomous driving(abstract)；分类 cs.CV、eess.IV

Comments Accepted to ACPR 2019 - Workshop on Computer Vision for Modern Vehicles

1911.12736 2020-03-24 cs.RO cs.AI cs.LG 62%

DiversityGAN: Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling

Xin Huang, Stephen G. McGill, Jonathan A. DeCastro, Luke Fletcher, John J. Leonard, Brian C. Williams, Guy Rosman

专题命中规划控制：autonomous driving(abstract)；分类 cs.RO、cs.AI

Comments 8 pages, 5 figures, 1 table

2003.03543 2020-03-10 cs.RO cs.AI 62%

Experimental Comparison of Global Motion Planning Algorithms for Wheeled Mobile Robots

Eric Heiden, Luigi Palmieri, Kai O. Arras, Gaurav S. Sukhatme, Sven Koenig

专题命中规划控制：autonomous driving(abstract)；分类 cs.RO、cs.AI

Comments Extended version of manuscript under review

2003.02913 2020-03-09 cs.RO cs.AI 62%

Safe Mission Planning under Dynamical Uncertainties

Yimeng Lu, Maryam Kamgarpour

专题命中规划控制：autonomous driving(abstract)；分类 cs.RO、cs.AI

Comments This paper appears in ICRA 2020

1812.03953 2020-02-28 cs.CV cs.LG cs.RO 62%

An Intelligent Safety System for Human-Centered Semi-Autonomous Vehicles

Hadi Abdi Khojasteh, Alireza Abbas Alipour, Ebrahim Ansari, Parvin Razzaghi

专题命中规划控制：autonomous driving(abstract)；分类 cs.RO、cs.CV

Comments 15 pages and 5 figures, Submitted to the international conference on Contemporary issues in Data Science (CiDaS 2019), Learn more about this project at https://iasbs.ac.ir/~ansari/faraz

Journal ref Nature Switzerland AG - Springer LNDECT 45(2020) 322-336

2002.10126 2020-02-25 cs.RO cs.AI cs.SY eess.SY 62%

Safe reinforcement learning for probabilistic reachability and safety specifications: A Lyapunov-based approach

Subin Huh, Insoon Yang

专题命中规划控制：autonomous driving(abstract)；分类 cs.RO、cs.AI

2001.07679 2020-01-22 cs.AI cs.FL cs.RO cs.SY eess.SY math.OC 62%

Stochastic Finite State Control of POMDPs with LTL Specifications

Mohamadreza Ahmadi, Rangoli Sharan, Joel W. Burdick

专题命中规划控制：self-driving(abstract)；分类 cs.RO、cs.AI

1912.09260 2019-12-20 cs.RO cs.AI 62%

Deep Reinforcement Learning for Motion Planning of Mobile Robots

Leonid Butyrev, Thorsten Edelhäußer, Christopher Mutschler

专题命中规划控制：trajectory planning(abstract)；分类 cs.RO、cs.AI

Comments 6 pages

1912.05003 2019-12-12 cs.CV eess.IV 62%

SCR-Graph: Spatial-Causal Relationships based Graph Reasoning Network for Human Action Prediction

Bo Chen, Decai Li, Yuqing He, Chunsheng Hua

专题命中规划控制：autonomous driving(abstract)；分类 cs.CV、eess.IV

Comments 10 pages, 6 figures

1912.01870 2019-12-05 cs.RO cs.CG cs.CV 62%

A Fully-Integrated Sensing and Control System for High-Accuracy Mobile Robotic Building Construction

Abel Gawel, Hermann Blum, Johannes Pankert, Koen Krämer, Luca Bartolomei, Selen Ercan, Farbod Farshidian, Margarita Chli, Fabio Gramazio, Roland Siegwart, Marco Hutter, Timothy Sandy

专题命中规划控制：trajectory planning(abstract)；分类 cs.RO、cs.CV

1910.08233 2019-10-21 cs.CV cs.LG cs.RO eess.SP 62%

Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data

Sergio Casas, Cole Gulino, Renjie Liao, Raquel Urtasun

专题命中规划控制：self-driving(abstract)；分类 cs.RO、cs.CV

1910.08041 2019-10-18 cs.CV cs.LG cs.RO 62%

Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction

Ajay Jain, Sergio Casas, Renjie Liao, Yuwen Xiong, Song Feng, Sean Segal, Raquel Urtasun

专题命中规划控制：self-driving(abstract)；分类 cs.RO、cs.CV

Comments CoRL 2019

1910.05449 2019-10-15 cs.LG cs.CV cs.RO stat.ML 62%

MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction

Yuning Chai, Benjamin Sapp, Mayank Bansal, Dragomir Anguelov

专题命中规划控制：autonomous driving(abstract)；分类 cs.RO、cs.CV

Comments Appears in CoRL 2019

1910.04862 2019-10-14 cs.CV cs.RO 62%

Vision-Based Autonomous Vehicle Control using the Two-Point Visual Driver Control Model

Justin Zheng, Kazuhide Okamoto, Panagiotis Tsiotras

专题命中规划控制：self-driving(abstract)；分类 cs.RO、cs.CV

1910.02818 2019-10-08 cs.CV cs.LG cs.RO 62%

Learning Navigation by Visual Localization and Trajectory Prediction

Iulia Paraicu, Marius Leordeanu

专题命中规划控制：self-driving(abstract)；分类 cs.RO、cs.CV

Comments Submitted to ICRA 2020

1909.05665 2019-10-01 cs.RO cs.AI 62%

Cooperation-Aware Lane Change Maneuver in Dense Traffic based on Model Predictive Control with Recurrent Neural Network

Sangjae Bae, Dhruv Saxena, Alireza Nakhaei, Chiho Choi, Kikuo Fujimura, Scott Moura

专题命中规划控制：autonomous driving(abstract)；分类 cs.RO、cs.AI

Comments Submitted to 2020 American Control Conference

1909.07507 2019-09-18 cs.CV cs.RO 62%

Scene Compliant Trajectory Forecast with Agent-Centric Spatio-Temporal Grids

Daniela Ridel, Nachiket Deo, Denis Wolf, Mohan Trivedi

专题命中规划控制：BEV(abstract)；分类 cs.RO、cs.CV

1809.03705 2019-09-16 cs.RO cs.CV cs.LG 62%

Bio-LSTM: A Biomechanically Inspired Recurrent Neural Network for 3D Pedestrian Pose and Gait Prediction

Xiaoxiao Du, Ram Vasudevan, Matthew Johnson-Roberson

专题命中规划控制：autonomous driving(abstract)；分类 cs.RO、cs.CV

Comments Typo corrected after Eq.(2)

Journal ref IEEE Robotics and Automation Letters, vol. 4, no. 2, pp. 1501-1508, April 2019

1909.00792 2019-09-04 cs.AI cs.RO 62%

Conditional Vehicle Trajectories Prediction in CARLA Urban Environment

Thibault Buhet, Emilie Wirbel, Xavier Perrotton

专题命中规划控制：autonomous driving(abstract)；分类 cs.RO、cs.AI

1906.09205 2019-06-24 cs.LG cs.AI cs.RO stat.ML 62%

Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction

Fengda Zhu, Xiaojun Chang, Runhao Zeng, Mingkui Tan

专题命中规划控制：autonomous driving(abstract)；分类 cs.RO、cs.AI

1905.12197 2019-05-30 cs.RO cs.AI cs.LG 62%

LeTS-Drive: Driving in a Crowd by Learning from Tree Search

Panpan Cai, Yuanfu Luo, Aseem Saxena, David Hsu, Wee Sun Lee

专题命中规划控制：autonomous driving(abstract)；分类 cs.RO、cs.AI

Journal ref Proc. Robotics: Science & Systems (RSS), 2019

1812.08350 2019-04-12 eess.IV cs.CV 62%

Plug-and-Play: Improve Depth Estimation via Sparse Data Propagation

Tsun-Hsuan Wang, Fu-En Wang, Juan-Ting Lin, Yi-Hsuan Tsai, Wei-Chen Chiu, Min Sun

专题命中规划控制：LiDAR(abstract)；分类 cs.CV、eess.IV

Comments 7 pages. 7 figures. ver.2

1904.00511 2019-04-02 cs.LG cs.AI cs.RO 62%

Risk Averse Robust Adversarial Reinforcement Learning

Xinlei Pan, Daniel Seita, Yang Gao, John Canny

专题命中规划控制：self-driving(abstract)；分类 cs.RO、cs.AI

Comments ICRA 2019

1809.07408 2019-03-05 cs.CV cs.RO 62%

Egocentric Vision-based Future Vehicle Localization for Intelligent Driving Assistance Systems

Yu Yao, Mingze Xu, Chiho Choi, David J. Crandall, Ella M. Atkins, Behzad Dariush

专题命中规划控制：autonomous driving(abstract)；分类 cs.RO、cs.CV

Comments To appear on ICRA 2019

1806.05767 2019-02-26 cs.RO cs.AI stat.ML 62%

Motion Planning Networks

Ahmed H. Qureshi, Anthony Simeonov, Mayur J. Bency, Michael C. Yip

专题命中规划控制：self-driving(abstract)；分类 cs.RO、cs.AI

Comments Paper published in ICRA'19

1902.05400 2019-02-15 cs.CV cs.LG cs.RO stat.ML 62%

Data-Driven Vehicle Trajectory Forecasting

Shayan Jawed, Eya Boumaiza, Josif Grabocka, Lars Schmidt-Thieme

专题命中规划控制：self-driving(abstract)；分类 cs.RO、cs.CV

Comments Published in ECML KNOWMe: 2nd International Workshop on Knowledge Discovery from Mobility and Transportation Systems 2018

1810.07225 2018-10-18 cs.RO cs.AI cs.LG 62%

Integrating kinematics and environment context into deep inverse reinforcement learning for predicting off-road vehicle trajectories

Yanfu Zhang, Wenshan Wang, Rogerio Bonatti, Daniel Maturana, Sebastian Scherer

专题命中规划控制：LiDAR(abstract)；分类 cs.RO、cs.AI

Comments CoRL 2018

1. 规划控制 4251 篇

DeepRacing: Parameterized Trajectories for Autonomous Racing

Attentional Bottleneck: Towards an Interpretable Deep Driving Network

TS-MPC for Autonomous Vehicle using a Learning Approach

Bypass Enhancement RGB Stream Model for Pedestrian Action Recognition of Autonomous Vehicles

DiversityGAN: Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling

Experimental Comparison of Global Motion Planning Algorithms for Wheeled Mobile Robots

Safe Mission Planning under Dynamical Uncertainties

An Intelligent Safety System for Human-Centered Semi-Autonomous Vehicles

Safe reinforcement learning for probabilistic reachability and safety specifications: A Lyapunov-based approach

Stochastic Finite State Control of POMDPs with LTL Specifications

Deep Reinforcement Learning for Motion Planning of Mobile Robots

SCR-Graph: Spatial-Causal Relationships based Graph Reasoning Network for Human Action Prediction

A Fully-Integrated Sensing and Control System for High-Accuracy Mobile Robotic Building Construction

Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data

Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction

MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction

Vision-Based Autonomous Vehicle Control using the Two-Point Visual Driver Control Model

Learning Navigation by Visual Localization and Trajectory Prediction

Cooperation-Aware Lane Change Maneuver in Dense Traffic based on Model Predictive Control with Recurrent Neural Network

Scene Compliant Trajectory Forecast with Agent-Centric Spatio-Temporal Grids

Bio-LSTM: A Biomechanically Inspired Recurrent Neural Network for 3D Pedestrian Pose and Gait Prediction

Conditional Vehicle Trajectories Prediction in CARLA Urban Environment

Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction

LeTS-Drive: Driving in a Crowd by Learning from Tree Search

Plug-and-Play: Improve Depth Estimation via Sparse Data Propagation

Risk Averse Robust Adversarial Reinforcement Learning

Egocentric Vision-based Future Vehicle Localization for Intelligent Driving Assistance Systems

Motion Planning Networks

Data-Driven Vehicle Trajectory Forecasting

Integrating kinematics and environment context into deep inverse reinforcement learning for predicting off-road vehicle trajectories