Empowering Computer Vision Systems of Autonomous Vehicles with Tensorized Neural Networks

This project aims to make self-driving cars smarter and safer. Imagine a self-driving car that can see and understand everything around it, like a human driver. This project wants to create a special kind of computer brain for these cars, using something called “tensorized neural networks.” These networks are like super-powered tools for the car’s brain to understand what’s happening on the road. The goal is to help the car quickly notice when something unusual or dangerous is happening, like a person suddenly crossing the road. This will make self-driving cars much better at avoiding accidents and driving smoothly. The project will also compare this new brain to other methods, making sure it’s the best. This research could lead to safer and more trustworthy self-driving cars that we can use in our daily
lives.

Faculty Supervisor:

Hina Tabassum

Student:

Partner:

Multiverse Computing

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

York University

Program: