Vision-based Maneuver Classification for Autonomous Driving

The proposed research project aims to address the challenge of accurately detecting and classifying complex driving maneuvers in real-world conditions. Partnering with Matt3r Technologies Inc. in Vancouver, BC, this research will develop a deep learning model that uses multiple types of data, such as dashboard video, to achieve maneuver detection for autonomous vehicles. This innovation will enhance the safety and efficiency of Matt3r’s technology, making autonomous vehicles more reliable and safer, while also being cost-effective. The project will boost Matt3r’s technological capabilities, support economic growth, and contribute to public safety in Canada. Additionally, the intern(s) will gain valuable experience in artificial intelligence and machine learning, making them competitive in the job market to serve Canada’s economic growth.

Faculty Supervisor:

Zheng Liu

Student:

Partner:

Matt3r Technologies Inc.

Discipline:

Engineering

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

The University of British Columbia - Okanagan

Program: