自动驾驶 - arXivDaily 专题

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

1804.10467 2018-08-29 cs.RO cs.AI 62%

Interaction-Aware Probabilistic Behavior Prediction in Urban Environments

Jens Schulz, Constantin Hubmann, Julian Löchner, Darius Burschka

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

1805.09951 2018-05-28 cs.RO cs.AI 62%

A Data-Driven Approach for Autonomous Motion Planning and Control in Off-Road Driving Scenarios

Hossein Rastgoftar, Bingxin Zhang, Ella M. Atkins

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

Comments 8 pages, 9 figures, this paper will appear in the 2018 American Control Conference(ACC)

1805.01956 2018-05-08 cs.RO cs.AI cs.LG 62%

Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning

Michael Everett, Yu Fan Chen, Jonathan P. How

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

1804.00532 2018-04-03 cs.AI cs.CV cs.LG 62%

Predictions of short-term driving intention using recurrent neural network on sequential data

Zhou Xing, Fei Xiao

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

1712.03608 2017-12-12 cs.RO cs.AI 62%

Towards Fully Environment-Aware UAVs: Real-Time Path Planning with Online 3D Wind Field Prediction in Complex Terrain

Philipp Oettershagen, Florian Achermann, Benjamin Müller, Daniel Schneider, Roland Siegwart

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

1505.02206 2016-03-30 cs.CV cs.AI stat.ML 62%

Learning image representations tied to ego-motion

Dinesh Jayaraman, Kristen Grauman

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

Comments Supplementary material appended at end. In ICCV 2015

1411.6326 2014-11-25 cs.RO cs.CV cs.LG 62%

Vision and Learning for Deliberative Monocular Cluttered Flight

Debadeepta Dey, Kumar Shaurya Shankar, Sam Zeng, Rupesh Mehta, M. Talha Agcayazi, Christopher Eriksen, Shreyansh Daftry, Martial Hebert, J. Andrew Bagnell

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

1409.2399 2014-09-09 cs.RO cs.AI cs.MA 62%

Prioritized Planning Algorithms for Trajectory Coordination of Multiple Mobile Robots

Michal Čáp, Peter Novák, Alexander Kleiner, Martin Selecký

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

1. 规划控制 4272 篇

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

Interaction-Aware Probabilistic Behavior Prediction in Urban Environments

A Data-Driven Approach for Autonomous Motion Planning and Control in Off-Road Driving Scenarios

Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning

Predictions of short-term driving intention using recurrent neural network on sequential data

Towards Fully Environment-Aware UAVs: Real-Time Path Planning with Online 3D Wind Field Prediction in Complex Terrain

Learning image representations tied to ego-motion

Vision and Learning for Deliberative Monocular Cluttered Flight

Prioritized Planning Algorithms for Trajectory Coordination of Multiple Mobile Robots