自动驾驶

Constrained Iterative LQG for Real-Time Chance-Constrained Gaussian Belief Space Planning

Jianyu Chen, Yutaka Shimizu, Liting Sun, Masayoshi Tomizuka, Wei Zhan

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

Comments IROS 2021

Spatio-temporal Parking Behaviour Forecasting and Analysis Before and During COVID-19

Shuhui Gong, Xiaopeng Mo, Rui Cao, Yu Liu, Wei Tu, Ruibin Bai

专题命中 规划控制 ：occupancy(abstract)；分类 cs.AI

Comments DeepSpatial '21: 2nd ACM SIGKDD Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems (https://cs.emory.edu/~lzhao41/venues/DeepSpatial2021/)

Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand Systems

Daniele Gammelli, Kaidi Yang, James Harrison, Filipe Rodrigues, Francisco C. Pereira, Marco Pavone

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

Hierarchical automatic lane-changing motion planning: from self-optimum to local-optimum

Yang Li, Linbo Li, Daiheng Ni, Wenxuang Wang

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

Comments 24 pages 16 figures

SLAMP: Stochastic Latent Appearance and Motion Prediction

Adil Kaan Akan, Erkut Erdem, Aykut Erdem, Fatma Güney

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

Comments ICCV 2021

Interpretable Goal Recognition in the Presence of Occluded Factors for Autonomous Vehicles

Josiah P. Hanna, Arrasy Rahman, Elliot Fosong, Francisco Eiras, Mihai Dobre, John Redford, Subramanian Ramamoorthy, Stefano V. Albrecht

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

Comments 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021)

CPPNet: A Coverage Path Planning Network

Zongyuan Shen, Palash Agrawal, James P. Wilson, Ryan Harvey, Shalabh Gupta

专题命中 规划控制 ：occupancy(abstract)；分类 cs.RO

Lyapunov-based uncertainty-aware safe reinforcement learning

Ashkan B. Jeddi, Nariman L. Dehghani, Abdollah Shafieezadeh

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

Comments Submitted to IEEE Transactions on Neural Networks and Learning Systems

Driving Behavior Modeling using Naturalistic Human Driving Data with Inverse Reinforcement Learning

Zhiyu Huang, Jingda Wu, Chen Lv

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

From Recognition to Prediction: Analysis of Human Action and Trajectory Prediction in Video

Junwei Liang

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

Comments Ph.D. Thesis. Version 2: Defense. See here: https://junweiliang.github.io/thesis/

Adversarial Mixture Density Networks: Learning to Drive Safely from Collision Data

Sampo Kuutti, Saber Fallah, Richard Bowden

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

Comments Accepted in IEEE Intelligent Transportation Systems Conference (ITSC) 2021

Planning of efficient trajectories in robotized assembly of aerostructures exploiting kinematic redundancy

Federica Storiale, Enrico Ferrentino, Pasquale Chiacchio

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

Journal ref Manufacturing Rev. 8, 8 (2021)

Reinforcement Learning based Negotiation-aware Motion Planning of Autonomous Vehicles

Zhitao Wang, Yuzheng Zhuang, Qiang Gu, Dong Chen, Hongbo Zhang, Wulong Liu

专题命中 规划控制 ：occupancy(abstract)；分类 cs.RO

Real-Time Motion Planning of a Hydraulic Excavator using Trajectory Optimization and Model Predictive Control

Dongjae Lee, Inkyu Jang, Jeonghyun Byun, Hoseong Seo, H. Jin Kim

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

Comments 8 pages, 8 figures, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) accepted

EVA-Planner: Environmental Adaptive Quadrotor Planning

Lun Quan, Zhiwei Zhang, Xingguang Zhong, Chao Xu, Fei Gao

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

Comments IEEE International Conference on Robotics and Automation (ICRA 2021)

Kalman Filters on Differentiable Manifolds

Dongjiao He, Wei Xu, Fu Zhang

专题命中 规划控制 ：LiDAR(abstract)；分类 cs.RO

Formation Control with Lane Preference for Connected and Automated Vehicles in Multi-lane Scenarios

Mengchi Cai, Chaoyi Chen, Jiawei Wang, Qing Xu, Keqiang Li, Jianqiang Wang, Xiangbin Wu

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

Trajectory Optimization for Manipulation of Deformable Objects: Assembly of Belt Drive Units

Shiyu Jin, Diego Romeres, Arvind Ragunathan, Devesh K. Jha, Masayoshi Tomizuka

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

MADE: Exploration via Maximizing Deviation from Explored Regions

Tianjun Zhang, Paria Rashidinejad, Jiantao Jiao, Yuandong Tian, Joseph Gonzalez, Stuart Russell

专题命中 规划控制 ：occupancy(abstract)；分类 cs.AI

Comments 28 pages, 10 figures

A Novel Graph based Trajectory Predictor with Pseudo Oracle

Biao Yang, Guocheng Yan, Pin Wang, Chingyao Chan, Xiang Song, Yang Chen

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

Comments 17 apges, 8 figures

Journal ref already published by TNNLS 2021

Planning on a (Risk) Budget: Safe Non-Conservative Planning in Probabilistic Dynamic Environments

Hung-Jui Huang, Kai-Chi Huang, Michal Čáp, Yibiao Zhao, Ying Nian Wu, Chris L. Baker

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

Comments 9 pages, 5 figures, International Conference on Robotics and Automation 2021

Traffic Scenario Clustering by Iterative Optimisation of Self-Supervised Networks Using a Random Forest Activation Pattern Similarity

Lakshman Balasubramanian, Jonas Wurst, Michael Botsch, Ke Deng

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

Comments Accepted for IEEE Intelligent Vehicles 2021

RouteNet: Leveraging Graph Neural Networks for network modeling and optimization in SDN

Krzysztof Rusek, José Suárez-Varela, Paul Almasan, Pere Barlet-Ros, Albert Cabellos-Aparicio

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

Comments 12 pages

Journal ref IEEE Journal on Selected Areas in Communication (JSAC), vol. 38, no. 10, pp. 2260-2270, 2020

Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games

Xiangyu Liu, Hangtian Jia, Ying Wen, Yaodong Yang, Yujing Hu, Yingfeng Chen, Changjie Fan, Zhipeng Hu

专题命中 规划控制 ：occupancy(abstract)；分类 cs.AI

Comments We investigate a new perspective on unifying diversity measures for open-ended learning in zero-sum games, which shapes an auto-curriculum to induce diverse yet effective behaviors

Optimal Cost Design for Model Predictive Control

Avik Jain, Lawrence Chan, Daniel S. Brown, Anca D. Dragan

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

Comments In proceedings of 3rd Annual Learning for Dynamics & Control Conference (L4DC) 2021

Adaptive Video Configuration and Bitrate Allocation for Teleoperated Vehicles

Andreas Schimpe, Simon Hoffmann, Frank Diermeyer

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

Comments Accepted at workshop for Road Vehicle Teleoperation (WS09) at the 2021 IEEE Intelligent Vehicles Symposium (IV21)

Time-series Imputation of Temporally-occluded Multiagent Trajectories

Shayegan Omidshafiei, Daniel Hennes, Marta Garnelo, Eugene Tarassov, Zhe Wang, Romuald Elie, Jerome T. Connor, Paul Muller, Ian Graham, William Spearman, Karl Tuyls

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

Game-Theoretic Model Predictive Control with Data-Driven Identification of Vehicle Model for Head-to-Head Autonomous Racing

Chanyoung Jung, Seungwook Lee, Hyunki Seong, Andrea Finazzi, David Hyunchul Shim

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

Comments 6 pages, 7 figures, ICRA workshop on Opportunities and Challenges with Autonomous Racing, 31 May, 2021(accepted)

Negotiation-Aware Reachability-Based Safety Verification for AutonomousDriving in Interactive Scenarios

Ran Tian, Anjian Li, Masayoshi Tomizuka, Liting Sun

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

Comments This work is presented at the ICRA 2021 Workshop on Safe Robot Control with Learned Motion and Environment Models

Haptic-enabled Mixed Reality System for Mixed-initiative Remote Robot Control

Yuan Tian, Lianjun Li, Andrea Fumagalli, Yonas Tadesse, Balakrishnan Prabhakaran

专题命中 规划控制 ：LiDAR(abstract)；分类 cs.RO

Comments 14 pages