Student research opportunities
Accessible Route Planning
Project Code: CECS_981
This project is available at the following levels:
Engn4200, Engn R&D
Please note that this project is only for undergraduate students.
Keywords:
Computer Vision, Image Processing
Supervisor:
Mr Jeremy SmithOutline:
Planning and undertaking even short trips can be challenging when incorporating physical and sensory disabilities. For example, someone in a wheelchair needs to avoid routes involving stairs, gutters and other obstacles.
This project will investigate an accessible route planning application. Such an application would propose the most efficient and appropriate route for a trip while taking into account a specified disability. This would involve a number of elements:
- determine which barriers or obstacles must be avoided for a specified disability.
- using an appropriate computer vision methodology, identify those potential barriers or obstacles from images or map data.
- develop the most efficient accessible route between two placements to avoid specified obstacles.
- present any routes identified to the user in an appropriate form.
A large part of this project will focus on image processing to identify potential obstacles from scenes or aerial maps. A background in computer vision (such as ENGN4528) along with image processing, machine learning, software development or computer graphics would be appropriate. An interest in disability and accessible design would also be of benefit. This project will work with a number of organisations supporting accessibility in the ACT and may incorporate a case study for a specific location and/or disability in Canberra.
Goals of this project
An application to general accessible routes for a specified disability from existing map data
Requirements/Prerequisites
ENGN4528
