Sensor systems for vehicle environment perception in a Highway Intelligent Space System.

Area of Science:

• Intelligent Transportation Systems
• Vehicle Dynamics and Control
• Sensor Networks

Background:

• Highway driving presents unique challenges due to high speeds and accident-prone zones.
• Effective vehicle environment perception is crucial for ensuring driving safety and stability.
• Existing vehicle-mounted sensor systems have limitations in providing comprehensive, real-time road information.

Purpose of the Study:

• To propose and evaluate a Highway Intelligent Space System (HISS) for advanced vehicle environment perception.
• To enable vehicles with preemptive awareness of surrounding road conditions and potential hazards.
• To ensure enhanced vehicle driving safety and stability through predictive information.

Main Methods:

• Installation of a sensor network (laser, ultrasonic, radar) within the highway environment.
• Implementation of communication technology for information exchange between the HISS server and vehicles.
• Development of an inter-vehicle dynamics model and application of model predictive control for driving state prediction.

Main Results:

• HISS achieves comparable environment perception results to traditional vehicle-mounted sensor systems.
• Simulation results validate the accuracy and feasibility of the proposed HISS.
• The system demonstrates the ability to ensure overall system stability.

Conclusions:

• The Highway Intelligent Space System (HISS) is a feasible and effective method for enhancing vehicle environment perception.
• HISS provides critical advance information to drivers, improving safety and stability on highways.
• The integration of sensor networks and communication technology offers a promising approach for intelligent transportation systems.