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GPS Independent Lane Level Vehicle Localization

Engineering & Physical Sciences
Software
Communications & Networking
Satellite/Antenna & Wireless Transmissions
Algorithms
Artificial Intelligence & Machine Learning
Image/Signal Processing
College
College of Engineering (COE)
Researchers
Javed, Nur Uddin
Ahmed, Qadeer
Licensing Manager
Ashouripashaki, Mandana
5125867192
ashouri.2@osu.edu

T2025-148 Technology bundle containing T2025-148 and T2024-150.

The Need

Reliable vehicle localization is critical for autonomous and human-driven vehicles, especially in GPS-denied environments such as dense urban areas, tunnels, and off-road farms and construction sites. Current localization methods relying solely on GPS are prone to signal loss and inaccuracies, leading to safety and operational challenges. There is a pressing need for a robust, GPS-independent localization solution to ensure continuous and accurate vehicle positioning.

The Technology

This innovative technology, developed by OSU researchers, combines GPS-independent positioning using V2X communication with an arc-length-based map matching method to correct drift in dead reckoning estimates. The system switches between GPS and dead reckoning based on signal availability, using pre-recorded GPS points in V2X map data for cross-referencing.

Commercial Applications

  • Autonomous Vehicles
  • Advanced Driver Assistance Systems
  • Agricultural and Construction Vehicles
  • Industrial Robots

Benefits/Advantages

  • Enhanced Safety: Provides reliable localization even in GPS-denied areas, reducing the risk of accidents.
  • Operational Reliability: Ensures continuous navigation for autonomous vehicles, improving functionality in various environments.
  • Cost-Effective: Reduces dependency on expensive GPS infrastructure and minimizes the need for additional hardware.
  • Scalability: Easily integrates with existing vehicle systems and infrastructure, facilitating widespread adoption.