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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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