A5007072595- Autonomous Vehicle Technology and Safety
- Traffic control and management
- Electric and Hybrid Vehicle Technologies
- Vehicle Dynamics and Control Systems
- Traffic and Road Safety
- Remote Sensing and LiDAR Applications
- Image Processing and 3D Reconstruction
- Advanced Control Systems Optimization
- Shape Memory Alloy Transformations
- Adaptive Control of Nonlinear Systems
- Fault Detection and Control Systems
- Transportation and Mobility Innovations
- Transportation Planning and Optimization
- Hydraulic and Pneumatic Systems
- Infrared Target Detection Methodologies
- Advanced Battery Technologies Research
- Piezoelectric Actuators and Control
- Advanced Measurement and Detection Methods
- Iterative Learning Control Systems
Jilin University
2020-2025
In order to resolve the driving conflict and improve safety efficiency of autonomous vehicles at unsignalized intersections, a new decision-making method based on game theory with personalized preferences considered is proposed in this paper. method, alterable mode constructed by combing designed entrying mechanism replanning sequential under different intersection conditions ensure adaptiveness effectiveness algorithm. Besides, four payoff indicators function are consideration efficiency,...
In order to improve the safety and adaptability of lane-changing decision process autonomous vehicle, a decision-making method considering traffic trend is proposed in this article. method, longitudinal lateral driving intentions vehicle are predicted by nonlinear autoregressive with external input neural network Gaussian mixture models hidden Markov model, respectively, which trained using next generation simulation database. Besides, payoff matrix constructed based on game theory...
A novel longitudinal, lateral, and vertical integrated stability control system is proposed for distributed electric vehicle in this paper. The based on model predictive takes advantage of its multi-objective optimization feature to manipulability, comfort requirements into consideration at the same time, realize optimal longitudinal <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math...
In order to improve the efficiency and safety of autonomous vehicles' decision-making process in complex urban scenarios, a method for hierarchical processing static traffic law information dynamic participant is proposed this paper. method, candidate behavior set constructed by extracting element laws fully considering constraints ensure legality effectiveness algorithm. Besides, four evaluation indicators two-level entry threshold are designed select optimal driving with consideration...
In this paper, a modeling-free inversion-based iterative feedforward control scheme is designed for single-input single-output piezoelectric actuators with rate-dependent hysteresis nonlinearities. The adopted only utilizes input-output data of the controlled system to start non-causal learning process, and achieve desired performance. experimental results show that both root-mean-square relative error output tracking are significantly reduced after 3 iterations. sine wave signal less than...