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Journal Abstract Search
207 related items for PubMed ID: 36679640
1. Research into Autonomous Vehicles Following and Obstacle Avoidance Based on Deep Reinforcement Learning Method under Map Constraints. Li Z, Yuan S, Yin X, Li X, Tang S. Sensors (Basel); 2023 Jan 11; 23(2):. PubMed ID: 36679640 [Abstract] [Full Text] [Related]
2. Velocity control in car-following behavior with autonomous vehicles using reinforcement learning. Wang Z, Huang H, Tang J, Meng X, Hu L. Accid Anal Prev; 2022 Sep 11; 174():106729. PubMed ID: 35700685 [Abstract] [Full Text] [Related]
3. A visual approach towards forward collision warning for autonomous vehicles on Malaysian public roads. Wong MK, Connie T, Goh MKO, Wong LP, Teh PS, Choo AL. F1000Res; 2021 Sep 11; 10():928. PubMed ID: 35350706 [Abstract] [Full Text] [Related]
4. Interactive Lane Keeping System for Autonomous Vehicles Using LSTM-RNN Considering Driving Environments. Jeong Y. Sensors (Basel); 2022 Dec 15; 22(24):. PubMed ID: 36560257 [Abstract] [Full Text] [Related]
5. Development of an Autonomous Driving Vehicle for Garbage Collection in Residential Areas. Pyo JW, Bae SH, Joo SH, Lee MK, Ghosh A, Kuc TY. Sensors (Basel); 2022 Nov 23; 22(23):. PubMed ID: 36501795 [Abstract] [Full Text] [Related]
6. Human-like Decision Making for Autonomous Vehicles at the Intersection Using Inverse Reinforcement Learning. Wu Z, Qu F, Yang L, Gong J. Sensors (Basel); 2022 Jun 14; 22(12):. PubMed ID: 35746281 [Abstract] [Full Text] [Related]
9. 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 22; 20(18):. PubMed ID: 32971987 [Abstract] [Full Text] [Related]
10. 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 09; 24(2):. PubMed ID: 38257495 [Abstract] [Full Text] [Related]
12. A dynamic test scenario generation method for autonomous vehicles based on conditional generative adversarial imitation learning. Jia L, Yang D, Ren Y, Qian C, Feng Q, Sun B, Wang Z. Accid Anal Prev; 2024 Jan 29; 194():107279. PubMed ID: 37897956 [Abstract] [Full Text] [Related]
13. 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 14; 23(22):. PubMed ID: 38005565 [Abstract] [Full Text] [Related]
17. Autonomous Driving Control Based on the Technique of Semantic Segmentation. Tsai J, Chang CC, Li T. Sensors (Basel); 2023 Jan 12; 23(2):. PubMed ID: 36679688 [Abstract] [Full Text] [Related]
18. Double Deep Q-Learning and Faster R-CNN-Based Autonomous Vehicle Navigation and Obstacle Avoidance in Dynamic Environment. Bin Issa R, Das M, Rahman MS, Barua M, Rhaman MK, Ripon KSN, Alam MGR. Sensors (Basel); 2021 Feb 20; 21(4):. PubMed ID: 33672476 [Abstract] [Full Text] [Related]
20. 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 14; 23(24):. PubMed ID: 38139665 [Abstract] [Full Text] [Related] Page: [Next] [New Search]