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Research Thesis Topic

Mobile Robot Obstacle Avoidance Using Vision/Image Processing


Topic ID
49

Thesis Topic/Title
Mobile Robot Obstacle Avoidance Using Vision/Image Processing

Description

Traditionally, autonomous mobile robots utilise active-based sensors such as laser and sonar system for obstacle detection and avoidance. However, many mobile robots are incorporating vision systems for more complex tasks in image recognition and localisation. Visual information obtained from a camera image, and moreover multiple camera images can theoretically provide (under certain conditions) complete 3D structure of a scene. This ultimately makes active sensors redundant, an observation also evident in biological animals. This project looks to develop a visual-based technique for the task for autonomous robots. Students should have skills and interest in developing and implementing computer-vision algorithms, alongside developing control aspects of the mobile robot platform, such as a quadcopter, or ground-based mobile robot.


Principal Supervisor

Associate Supervisors

Research Affiliations
  • School of Mechanical and Electrical Engineering

Field of Research
  • Artificial Intelligence and Image Processing
  • Electrical and Electronic Engineering
  • Mechanical Engineering

Available Academic Programs

Application Open Date
29/02/2016

Application Close Date
31/12/2020

USQ Scholarship Applications

Pre-approved for Ethics
No

Admission Requirements

Please review the admission requirements for the academic program associated with this Thesis Topic




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