A ubiquitous positioning solution for head-mounted sensors – Year two

Recent advancement in computer vision and sensing technology has shown great potential for autonomous vehicles. This work aims to studies using an Augmented Reality heads-up display to improve the reliability of Advanced Driver Assistance Systems (ADAS). The algorithms developed will help drivers detect obstacles e.g. pedestrians crossings, improve current lane departure warnings to allow a car to navigate safely without, as well as estimate distance to nearby vehicles for collision avoidance.

Faculty Supervisor:

Edward Park

Student:

Ahmed Arafa

Partner:

Elves Technologies Inc

Discipline:

Engineering - mechanical

Sector:

Information and communications technologies

University:

Program:

Elevate

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