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Xiaohui Li
标题
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年份
Real-time trajectory planning for autonomous urban driving: Framework, algorithms, and verifications
X Li, Z Sun, D Cao, Z He, Q Zhu
IEEE/ASME Transactions on Mechatronics 21 (2), 740-753, 2015
3112015
Development of a new integrated local trajectory planning and tracking control framework for autonomous ground vehicles
X Li, Z Sun, D Cao, D Liu, H He
Mechanical Systems and Signal Processing 87, 118-137, 2017
2832017
A dynamic bayesian network for vehicle maneuver prediction in highway driving scenarios: Framework and verification
J Li, B Dai, X Li, X Xu, D Liu
Electronics 8 (1), 40, 2019
762019
A unified approach to local trajectory planning and control for autonomous driving along a reference path
X Li, Z Sun, Q Zhu, D Liu
2014 IEEE International Conference on Mechatronics and Automation, 1716-1721, 2014
502014
A practical trajectory planning framework for autonomous ground vehicles driving in urban environments
X Li, Z Sun, Z He, Q Zhu, D Liu
2015 IEEE Intelligent Vehicles Symposium (IV), 1160-1166, 2015
422015
A sampling-based local trajectory planner for autonomous driving along a reference path
X Li, Z Sun, A Kurt, Q Zhu
2014 IEEE Intelligent Vehicles Symposium Proceedings, 376-381, 2014
422014
Local path planning for an unmanned ground vehicle based on SVM
C Qingyang, S Zhenping, L Daxue, F Yuqiang, L Xiaohui
International Journal of Advanced Robotic Systems 9 (6), 246, 2012
312012
Combining local trajectory planning and tracking control for autonomous ground vehicles navigating along a reference path
X Li, Z Sun, D Liu, Q Zhu, Z Huang
17th International IEEE Conference on Intelligent Transportation Systems …, 2014
302014
Mixed-integer and Conditional Trajectory Planningfor an Autonomous Mining Truck in Loading/Dumping Scenarios: A Global Optimization Approach
B Li, Y Ouyang, X Li, D Cao, T Zhang, Y Wang
IEEE Transactions on Intelligent Vehicles, 2022
292022
Synchronous Maneuver Searching and Trajectory Planning for Autonomous Vehicles in Dynamic Traffic Environments
L Qian, X Xu, Y Zeng, X Li, Z Sun, H Song
arXiv preprint arXiv:1909.07678, 2019
162019
An optimization-based motion planning method for autonomous driving vehicle
S Luo, X Li, Z Sun
2020 3rd International Conference on Unmanned Systems (ICUS), 739-744, 2020
112020
A real-time and predictive trajectory-generation motion planner for autonomous ground vehicles
J Li, B Dai, X Li, C Li, Y Di
2017 9th International Conference on Intelligent Human-Machine Systems and …, 2017
112017
Path planning for autonomous vehicles in complicated environments
X Du, X Li, D Liu, B Dai
2016 IEEE International Conference on Vehicular Electronics and Safety …, 2016
112016
Ribbon model based path tracking method for autonomous ground vehicles
Q Chen, Z Sun, D Liu, X Li
Journal of Central South University 21 (5), 1816-1826, 2014
102014
Trajectory Planning for Autonomous Ground Vehicles Driving in Structured Environments
C Li, X Li, J Li, Q Zhu, B Dai
2017 9th International Conference on Intelligent Human-Machine Systems and …, 2017
92017
A study of the reaction mechanisms of methane in cold plasma using optical emission spectroscopy
XL Zhang, ZF Liu, XH Li, B Dai, WM Gong, JL Zhang, XL Deng
Chin J light scattering (in Chinese) 16 (2), 166-171, 2004
82004
AN INTERACTION-AWARE PREDICTIVE MOTION PLANNER FOR UNMANNED GROUND VEHICLES IN DYNAMIC STREET SCENARIOS
J Li, B Dai, X Li, R Wang, X Xu, B Jiang, Y Di
International Journal of Robotics and Automation 34 (3), 2019
72019
A kernel-based extreme learning modeling method for speed decision making of autonomous land vehicles
X Wu, X Xu, X Li, K Li, B Jiang
2017 6th Data Driven Control and Learning Systems (DDCLS), 769-775, 2017
72017
High-precision motion control method and practice for autonomous driving in complex off-road environments
Z Sun, Z Huang, Q Zhu, X Li, D Liu
2016 IEEE Intelligent Vehicles Symposium (IV), 767-773, 2016
72016
Human-machine cooperative trajectory planning for semi-autonomous driving based on the understanding of behavioral semantics
B Jiang, X Li, Y Zeng, D Liu
Electronics 10 (8), 946, 2021
62021
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