These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

333 related articles for article (PubMed ID: 33061950)

  • 1. Learning-Based Lane-Change Behaviour Detection for Intelligent and Connected Vehicles.
    Du L; Chen W; Pei Z; Zheng H; Fu S; Chen K; Wu D
    Comput Intell Neurosci; 2020; 2020():8848363. PubMed ID: 33061950
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A Novel Intelligent Approach to Lane-Change Behavior Prediction for Intelligent and Connected Vehicles.
    Du L; Chen W; Ji J; Pei Z; Tong B; Zheng H
    Comput Intell Neurosci; 2022; 2022():9516218. PubMed ID: 35082845
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Detecting lane change maneuvers using SHRP2 naturalistic driving data: A comparative study machine learning techniques.
    Das A; Khan MN; Ahmed MM
    Accid Anal Prev; 2020 Jul; 142():105578. PubMed ID: 32408143
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Collision-avoidance lane change control method for enhancing safety for connected vehicle platoon in mixed traffic environment.
    Ma Y; Liu Q; Fu J; Liufu K; Li Q
    Accid Anal Prev; 2023 May; 184():106999. PubMed ID: 36780868
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Iterative learning control for lane-changing trajectories upstream off-ramp bottlenecks and safety evaluation.
    Dong C; Xing L; Wang H; Yu X; Liu Y; Ni D
    Accid Anal Prev; 2023 Apr; 183():106970. PubMed ID: 36669457
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Research on Vehicle Lane Change Warning Method Based on Deep Learning Image Processing.
    Zhang Q; Sun Z; Shu H
    Sensors (Basel); 2022 Apr; 22(9):. PubMed ID: 35591016
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Key feature selection and risk prediction for lane-changing behaviors based on vehicles' trajectory data.
    Chen T; Shi X; Wong YD
    Accid Anal Prev; 2019 Aug; 129():156-169. PubMed ID: 31150922
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Support Vector Machine Based Lane-Changing Behavior Recognition and Lateral Trajectory Prediction.
    Feng Y; Yan X
    Comput Intell Neurosci; 2022; 2022():3632333. PubMed ID: 35592714
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Short-term prediction of safety and operation impacts of lane changes in oscillations with empirical vehicle trajectories.
    Li M; Li Z; Xu C; Liu T
    Accid Anal Prev; 2020 Feb; 135():105345. PubMed ID: 31751785
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Interactive Lane Keeping System for Autonomous Vehicles Using LSTM-RNN Considering Driving Environments.
    Jeong Y
    Sensors (Basel); 2022 Dec; 22(24):. PubMed ID: 36560257
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A new method of temporal and spatial risk estimation for lane change considering conventional recognition defects.
    Wu J; Wen H; Qi W
    Accid Anal Prev; 2020 Dec; 148():105796. PubMed ID: 33099126
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A freeway vehicle early warning method based on risk map: Enhancing traffic safety through global perspective characterization of driving risk.
    Cui C; An B; Li L; Qu X; Manda H; Ran B
    Accid Anal Prev; 2024 Aug; 203():107611. PubMed ID: 38733809
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Injury-severity analysis of lane change crashes involving commercial motor vehicles on interstate highways.
    Adanu EK; Lidbe A; Tedla E; Jones S
    J Safety Res; 2021 Feb; 76():30-35. PubMed ID: 33653562
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Human-Like Lane Change Decision Model for Autonomous Vehicles that Considers the Risk Perception of Drivers in Mixed Traffic.
    Wang C; Sun Q; Li Z; Zhang H
    Sensors (Basel); 2020 Apr; 20(8):. PubMed ID: 32316210
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Lane change warning threshold based on driver perception characteristics.
    Wang C; Sun Q; Fu R; Li Z; Zhang Q
    Accid Anal Prev; 2018 Aug; 117():164-174. PubMed ID: 29704793
    [TBL] [Abstract][Full Text] [Related]  

  • 18. The influence of curbs on driver behaviors in four-lane rural highways--A driving simulator based study.
    Yang Q; Overton R; Han LD; Yan X; Richards SH
    Accid Anal Prev; 2013 Jan; 50():1289-97. PubMed ID: 23084096
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. A Dynamic Lane-Changing Driving Strategy for CAV in Diverging Areas Based on MPC System.
    Liu H; Song X; Liu B; Liu J; Gao H; Liang Y
    Sensors (Basel); 2023 Jan; 23(2):. PubMed ID: 36679356
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 17.