RFID-based vehicle positioning and its applications in connected vehicles

Area of Science:

• Automotive Engineering
• Robotics and Intelligent Systems
• Wireless Communication

Background:

• Global Positioning System (GPS) limitations in accuracy and signal reliability hinder connected vehicle applications.
• Precise vehicle positioning is critical for advanced driver-assistance systems (ADAS) and autonomous driving.
• Existing positioning technologies often struggle with urban canyons, tunnels, and multipath environments.

Purpose of the Study:

• To propose and validate a Radio Frequency Identification (RFID)-based vehicle positioning system.
• To enhance the reliability and accuracy of vehicle localization for connected vehicle applications.
• To demonstrate the system's potential as a supplement or alternative to GPS.

Main Methods:

• Utilizing RFID tags embedded with accurate location data for direct vehicle positioning.
• Implementing a kinematics integration algorithm to estimate vehicle position between RFID tag encounters.
• Empirically verifying positioning accuracy using radar measurements and photoelectric switch data.

Main Results:

• RFID-based positioning provides accurate vehicle location data when passing over tags.
• Kinematics integration effectively estimates vehicle position in areas without RFID coverage.
• Empirical validation using radar and photoelectric switches confirms the system's high accuracy.

Conclusions:

• The proposed RFID positioning system offers a reliable and accurate solution for connected vehicles.
• This technology can overcome GPS limitations, improving vehicle operational control and intersection management.
• RFID positioning presents a promising advancement for the future of intelligent transportation systems.