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1. Research on path planning of intelligent vehicles NSTL国家科技图书文献中心

Qiyan Yan |  Xia Liu... -  《Fourth International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2024)》 -  International Conference on Intelligent Traffic Systems and Smart City - 2025, - 134220T.1~134220T.6 - 共6页

摘要: hotspots in intelligent vehicles. Based on the study of |  intelligent vehicle architecture and predictive control | With the continuous improvement of |  intelligence and driving safety requirements, accurately |  sensing the external environment and planning paths
关键词: Intelligent vehicles |  Predictive control model |  Path planning |  RRT* algorithm

2. Repairing Backdoor Model With Dynamic Gradient Clipping for Intelligent Vehicles NSTL国家科技图书文献中心

Xindi Ma |  Xinfu Li... -  《IEEE transactions on dependable and secure computing》 - 2025,22(1) - 804~818 - 共15页

摘要: learning models in intelligent vehicles. While such | The backdoor attack has emerged as a prevalent |  threat that affects the effectiveness of machine |  attacks may not impair the normal performance of the |  trained model, they can be exploited by malicious
关键词: Training |  Data models |  Computational modeling |  Intelligent vehicles |  Maintenance engineering |  Accuracy |  Machine learning

3. Path tracking control of high-speed intelligent vehicles considering model mismatch NSTL国家科技图书文献中心

He, Zhicheng |  Zhang, Kailin... -  《International Journal of Robust and Nonlinear Control》 - 2025,35(1) - 168~187 - 共20页

摘要: intelligent vehicles is significantly influenced by model |  intelligent vehicles through co-simulation using Simulink |  the path tracking process of high-speed intelligent |  vehicles, enabling dynamic real-time observation of the | The precision of path tracking in high-speed
关键词: compensation function observer |  feed-forward compensation |  high-speed intelligent vehicles |  model mismatch |  model predictive control |  feed‐forward compensation |  high‐speed intelligent vehicles

4. IC-GLI: a real-time, INS-centric GNSS-LiDAR-IMU localization system for intelligent vehicles NSTL国家科技图书文献中心

Zhang, Yong |  Li, Xudong... -  《Measurement Science & Technology》 - 2025,36(2) - 1~12 - 共12页

摘要: enhance the precise positioning of intelligent vehicles |  using intelligent vehicles in the Robot Operating | The integration of multiple sensors plays a |  vital role in achieving accurate vehicle positioning | . However, light detection and ranging (LIDAR) and global
关键词: multi-source fusion positioning |  factor graph optimization |  intelligent vehicles |  IMU |  GNSS |  LiDAR

5. Longitudinal-lateral coupling control and global sensitivity analysis method for intelligent vehicles under heterogeneous disturbances NSTL国家科技图书文献中心

Guan, Longxin |  Guo, Lie... -  《Measurement Science & Technology》 - 2025,36(3) - 1~25 - 共25页

摘要:Intelligent vehicles motion control system is |  a kind of nonlinear system with many heterogeneous |  disturbances such as modeling inaccuracies, model coupling | , parameters perturbation, speed fluctuation and external |  environmental disturbance. This paper accordingly proposes a
关键词: intelligent vehicles |  longitudinal-lateral coupling control |  heterogeneous disturbances |  model predictive control |  Lyapunov asymptotic stability |  global sensitivity analysis

6. Dynamic Gaming Lane-Changing Decision-Making for Intelligent Vehicles Considering Humanlike Driving Preferences NSTL国家科技图书文献中心

Chunfang Yin |  Haibo Yue... -  《Journal of Transportation Engineering,Part A.Systems》 - 2025,151(1) - 51~65 - 共15页

摘要: decision-making method of intelligent vehicles as |  interactions between vehicles, and the personalized driving |  requirements in the lane-changing process of intelligent |  vehicles, a cost function including driving space |  and intelligent driver model (IDM) are used to
关键词: 04024087.1-04024087.15

7. Obstacle avoidance path planning algorithm for intelligent vehicles on structured road NSTL国家科技图书文献中心

Wang, Jiaqi |  Meng, Qinghua... -  《Transactions of the Institute of Measurement and Control》 - 2025,47(5) - 937~949 - 共13页

摘要: for intelligent vehicles, a novel obstacle avoidance | Aiming to address the obstacle avoidance |  issues of smoothness and real-time on structured roads |  path planning algorithm is proposed which utilizes |  various curve fitting methods. The algorithm
关键词: Obstacle avoidance path planning |  third-order Bessel curve |  quintic polynomial curve |  lane keeping |  curve fitting

8. OBSTACLE AVOIDANCE PATH PLANNING FOR INTELLIGENT VEHICLES BASED ON SPARROW POTENTIAL FIELD IN MULTI-TYPE SCENARIOS NSTL国家科技图书文献中心

Chen, Qiping |  Pi, Siyuan... -  《International Journal of Automotive Technology》 - 2025,26(1) - 283~299 - 共17页

摘要: intelligent vehicles based on the sparrow potential field | To overcome the issue of unreachable targets |  and local optima in traditional artificial potential |  fields in multi-type scenarios, this paper introduces a |  method for obstacle avoidance path planning for
关键词: Intelligent vehicle |  Obstacle avoidance path planning |  Artificial potential field |  Dynamic constraint |  Sparrow potential field

9. A lateral and longitudinal control method based on linear quadratic regulator for intelligent vehicles considering future path changes NSTL国家科技图书文献中心

Sun, Binbin |  Cui, Kaichen... -  《Measurement Science & Technology》 - 2025,36(1) - 1~14 - 共14页

摘要: intelligent vehicles, a lateral controller based on linear | To improve the tracking performance of |  quadratic regulator (LQR) theory and a longitudinal |  controller based on backstepping sliding mode control (SMC | ) theory are proposed in this paper. Firstly, a
关键词: autonomous driving |  feedforward LQR |  predictive controller |  SMC |  HIL

10. Autonomous overtaking decision and motion planning of intelligent vehicles based on graph convolutional network and conditional imitation learning NSTL国家科技图书文献中心

Lv, Yanzhi |  Wei, Chao... -  《Proceedings of the Institution of Mechanical Engineers,Part D.Journal of Automobile Engineering》 - 2025,239(2/3) - 930~945 - 共16页

摘要:To ensure safe overtaking of intelligent |  vehicles in dynamic interactive environments, this paper |  other vehicles' driving behavior on the overtaking |  proposes an end-to-end learning method for autonomous |  overtaking based on Graph Convolutional Network (GCN) and
关键词: Autonomous driving |  end-to-end driving |  overtaking |  graph convolutional network |  conditional imitation learning
检索条件Intelligent vehicles

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