The Real-Time Embedded Software Group and UWECEML labs at the Department of Electrical and Computer Engineering at the University of Waterloo are working to conduct a study on driving behaviour. This project is part of a research collaboration between the University of Waterloo and Magna International Inc. to develop a driving model for self-driving vehicles based on learning from human driver behaviour on roads using a variety of automotive sensors, data fusion and artificial intelligence algorithms. The goal is to create a comfortable in-vehicle experience when a self-driving mode is engaged. The project requires monitoring and recording the driving behaviour of 100 drivers using a specially equipped SUV (LiDAR, Radar, Cameras and more) in order to have sufficient data to create a self-learning model using machine learning algorithms.
Get Involved: See the project webpage to find out more or to sign up to be a driving participant in our study.
Problem 1: Given an observed driving execution with a known driving plan, efficiently and effectively extract a driver behavior model.
Problem 2: Given a driving plan and a driver model, predict the vehicle state at points on the driving plan.