166 related articles for article (PubMed ID: 36236495)
1. Computational Efficient Motion Planning Method for Automated Vehicles Considering Dynamic Obstacle Avoidance and Traffic Interaction.
Zhang Y; Wang J; Lv J; Gao B; Chu H; Na X
Sensors (Basel); 2022 Sep; 22(19):. PubMed ID: 36236495
[TBL] [Abstract][Full Text] [Related]
2. A co-evolutionary lane-changing trajectory planning method for automated vehicles based on the instantaneous risk identification.
Wu J; Chen X; Bie Y; Zhou W
Accid Anal Prev; 2023 Feb; 180():106907. PubMed ID: 36455450
[TBL] [Abstract][Full Text] [Related]
3. Human-Like Obstacle Avoidance Trajectory Planning and Tracking Model for Autonomous Vehicles That Considers the River's Operation Characteristics.
Sun Q; Guo Y; Fu R; Wang C; Yuan W
Sensors (Basel); 2020 Aug; 20(17):. PubMed ID: 32858979
[TBL] [Abstract][Full Text] [Related]
4. Law compliance decision making for autonomous vehicles on highways.
Ma X; Song L; Zhao C; Wu S; Yu W; Wang W; Yang L; Wang H
Accid Anal Prev; 2024 Sep; 204():107620. PubMed ID: 38823082
[TBL] [Abstract][Full Text] [Related]
5. Active Obstacle Avoidance Trajectory Planning for Vehicles Based on Obstacle Potential Field and MPC in V2P Scenario.
Pan R; Jie L; Zhao X; Wang H; Yang J; Song J
Sensors (Basel); 2023 Mar; 23(6):. PubMed ID: 36991959
[TBL] [Abstract][Full Text] [Related]
6. Integrated Avoid Collision Control of Autonomous Vehicle Based on Trajectory Re-Planning and V2V Information Interaction.
Lin F; Wang K; Zhao Y; Wang S
Sensors (Basel); 2020 Feb; 20(4):. PubMed ID: 32079201
[TBL] [Abstract][Full Text] [Related]
7. A Bayesian Driver Agent Model for Autonomous Vehicles System Based on Knowledge-Aware and Real-Time Data.
Ma J; Xie H; Song K; Liu H
Sensors (Basel); 2021 Jan; 21(2):. PubMed ID: 33418987
[TBL] [Abstract][Full Text] [Related]
8. An integrated architecture for intelligence evaluation of automated vehicles.
Huang H; Zheng X; Yang Y; Liu J; Liu W; Wang J
Accid Anal Prev; 2020 Sep; 145():105681. PubMed ID: 32712190
[TBL] [Abstract][Full Text] [Related]
9. Research on obstacle avoidance optimization and path planning of autonomous vehicles based on attention mechanism combined with multimodal information decision-making thoughts of robots.
Wu X; Wang G; Shen N
Front Neurorobot; 2023; 17():1269447. PubMed ID: 37811356
[TBL] [Abstract][Full Text] [Related]
10. Research on Lane-Changing Decision Making and Planning of Autonomous Vehicles Based on GCN and Multi-Segment Polynomial Curve Optimization.
Feng F; Wei C; Zhao B; Lv Y; He Y
Sensors (Basel); 2024 Feb; 24(5):. PubMed ID: 38474973
[TBL] [Abstract][Full Text] [Related]
11. End-to-End Automated Lane-Change Maneuvering Considering Driving Style Using a Deep Deterministic Policy Gradient Algorithm.
Hu H; Lu Z; Wang Q; Zheng C
Sensors (Basel); 2020 Sep; 20(18):. PubMed ID: 32971987
[TBL] [Abstract][Full Text] [Related]
12. A Study on Dynamic Motion Planning for Autonomous Vehicles Based on Nonlinear Vehicle Model.
Tang X; Li B; Du H
Sensors (Basel); 2022 Dec; 23(1):. PubMed ID: 36617040
[TBL] [Abstract][Full Text] [Related]
13. Intelligent Vehicle Decision-Making and Trajectory Planning Method Based on Deep Reinforcement Learning in the Frenet Space.
Wang J; Chu L; Zhang Y; Mao Y; Guo C
Sensors (Basel); 2023 Dec; 23(24):. PubMed ID: 38139665
[TBL] [Abstract][Full Text] [Related]
14. Coordinated Decision Control of Lane-Change and Car-Following for Intelligent Vehicle Based on Time Series Prediction and Deep Reinforcement Learning.
Zhang K; Pu T; Zhang Q; Nie Z
Sensors (Basel); 2024 Jan; 24(2):. PubMed ID: 38257495
[TBL] [Abstract][Full Text] [Related]
15. An Optimized Trajectory Planner and Motion Controller Framework for Autonomous Driving in Unstructured Environments.
Xiong L; Fu Z; Zeng D; Leng B
Sensors (Basel); 2021 Jun; 21(13):. PubMed ID: 34199118
[TBL] [Abstract][Full Text] [Related]
16. A Dynamic Path-Planning Method for Obstacle Avoidance Based on the Driving Safety Field.
Liu K; Wang H; Fu Y; Wen G; Wang B
Sensors (Basel); 2023 Nov; 23(22):. PubMed ID: 38005565
[TBL] [Abstract][Full Text] [Related]
17. A Trajectory Planning Method for Autonomous Valet Parking via Solving an Optimal Control Problem.
Chen C; Wu B; Xuan L; Chen J; Wang T; Qian L
Sensors (Basel); 2020 Nov; 20(22):. PubMed ID: 33187151
[TBL] [Abstract][Full Text] [Related]
18. A proactive lane-changing risk prediction framework considering driving intention recognition and different lane-changing patterns.
Shangguan Q; Fu T; Wang J; Fang S; Fu L
Accid Anal Prev; 2022 Jan; 164():106500. PubMed ID: 34823098
[TBL] [Abstract][Full Text] [Related]
19. Trajectory Planning of Autonomous Underwater Vehicles Based on Gauss Pseudospectral Method.
Gan W; Su L; Chu Z
Sensors (Basel); 2023 Feb; 23(4):. PubMed ID: 36850948
[TBL] [Abstract][Full Text] [Related]
20. An Obstacle Avoidance Path Planning and Evaluation Method for Intelligent Vehicles Based on the B-Spline Algorithm.
Zhang Y; Wang P; Cui K; Zhou H; Yang J; Kong X
Sensors (Basel); 2023 Sep; 23(19):. PubMed ID: 37836981
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]