- Autonomous Vehicle Technology and Safety
- Vehicle Dynamics and Control Systems
- Traffic control and management
- Video Surveillance and Tracking Methods
- Traffic and Road Safety
- Advanced Optical Sensing Technologies
- Industrial Technology and Control Systems
- Real-time simulation and control systems
- Robotic Path Planning Algorithms
- Simulation and Modeling Applications
- Advanced Vision and Imaging
- Hydraulic and Pneumatic Systems
- Advanced Measurement and Detection Methods
- Elevator Systems and Control
- Advanced Neural Network Applications
- Electric and Hybrid Vehicle Technologies
- Vehicle emissions and performance
- Traffic Prediction and Management Techniques
Anhui Polytechnic University
2025
Hefei University of Technology
2021-2024
Inaccurate measurements of vehicular distance can significantly disrupt the decision-making intelligent vehicles, potentially leading to accidents such as collisions on slope roads. Existing ranging methods fail accurately measure This paper proposes an optimized approach address this challenge. Initially, a observer is developed using vanishing point determine position vehicle and calculate angle. An observation model then created based slope’s geometry distance. Furthermore, enhanced...
The control goal of the vehicle platoon is to maintain same speed and desired distance. Most current studies are based on simplified models, leader’s state also rarely considered. However, under complex working conditions, such as low adhesion or curves, lateral stability will be difficult guarantee, tracking errors spacing may further increase. To solve above problems, a new hierarchical coordinated strategy proposed. Taking distributed drive electric vehicles (DDEVs) research objects,...
Reasonably foreseeable misuse by persons, as a primary aspect of safety the intended functionality (SOTIF), has significant effect on cooperation performance for lane keeping. This paper presents novel human–machine cooperative control scheme with consideration SOTIF issues caused driver error. It is challenging to balance keeping and driving freedom when error occurs. A evaluation strategy proposed supervision, containing assessments departure risk dynamic model designed based typical in...
Abstract:According to the shortcoming that safety of lane change is difficult ensure for different changing environments in most studies, a control method based on vehicle driving safe boundary proposed solve this problem.Firstly, accounting space and collision time interval between self-vehicle surrounding associated vehicles, state decision designed.Secondly, position considering vehicle-road relationship rectangular area established.Based stability limit requirements yaw rate states,...
Vehicle detection plays a crucial role in the decision-making, planning, and control of intelligent vehicles. It is one main tasks environmental perception an essential part ensuring driving safety. In order to capture unique vehicle features improve recognition efficiency, this paper fuses texture image edge LIDAR detect frontal targets. First, we use wavelet analysis geometric segment ground determine region interest for detection. Then, point cloud detected projected into locate ROI....
This paper presents a fault-tolerant human-machine shared scheme for collision avoidance considering driver error and actuator fault. A method of trajectory planning decision-making is developed dealing with the We calculate remainder tracking capability faulted utilise motion redundancy in system to generate feasible trajectories avoidance. In addition, an assessment criterion conducted supervise driver's steering response potential The dynamically adjusts driving authority based on error....
Distributed drive electric vehicles can reduce range anxiety through regenerative braking. However, if the wheel motor torque output fails, it will form an additional yaw moment to vehicle, causing instability, or deviation and threatening its safety. To solve this problem, research object is vehicle driven by a four-wheel hub motor. A braking force compensation distribution strategy for front rear axles proposed, which combines electronic hydraulic (EHB) system control auxiliary control....
Unreasonable path planning will make the vehicle prone to traffic accidents when driving at a limited maximum speed in case of low-speed situation and large curvature curve conditions. Considering defects neural network model based on data-driven may cause unexpected results, an improved driver was proposed enhance safety. In this paper, Dempster/Shafer evidence theory used detect critical features lane lines for detection. And observer established observe analyze output space motion safety...
An unreasonable vehicle spacing can easily lead to traffic accidents such as collisions. The safe is determined by motion characteristics, ground conditions, and other factors, it also effected situations. In order improve driving safety, the that host needs maintain studying braking process of under interference related vehicles analyzed in this paper at first. Then, environmental factors may have impacts are considered construct mathematical model situation. data were using analysis...