A Lane-level Navigation System with HSLIG Fusion Scheme for Smart Vehicles

As autonomous technology evolves, smart vehicles emerge as a pivotal development for transforming public transportation and minimizing transport costs. Key to their broad acceptance is the resolution of safety, stability, and compatibility issues. This project proposes a cutting-edge solution through a High-Definition (HD) map-aided, multi-sensor fusion approach, aiming at precise lane-level positioning and navigation in dense urban canyons. The objective is to create a resilient sensor fusion scheme that seamlessly merges the onboard sensors with environmental contextual information from High-Definition (HD) maps, achieving lane-level navigation even in urban canyon environments. The expected output for the industry partner will be a prototype of a navigation system that can be deployed on the partner organization’s smart vehicles, facilitating reliable lane-level navigation in typical urban canyon environments.

Faculty Supervisor:

Yang Gao

Student:

Partner:

Micro Engineering Tech Inc.

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Calgary

Program: