Description:

The Formula SAE competition is introducing an autonomous vehicle category to the control of the Formula SAE cars. To complement the work already completed and ongoing for this competition, this project aims to develop a scale testbed to validate path-tracking control systems, among other benefits. This will utilise sensing from existing Motion Capture systems to reduce the perception requirements and focus on controller performance validation.

Type:

Undergraduate

Outcome:

1. Development of a system utilising Motion Capture systems to replicate the planned perception pipeline of the full-scale FSAE vehicle to allow for scale testing
2. A method for benchmarking path-tracking controller developments with ‘ground truth’ comparisons and measurements
3. Testing of existing path-tracking controllers
4. Development and recommendations of new/improved path-tracking solutions

Instead, there is scope to focus on benchmarking perception systems using Motion Capture as a 'ground truth'. This would focus on a ground speed sensing system with development and testing to occur on the scale testbed. This would change the proposed outcomes above from #2 onwards.

Prerequisites

Students are expected to enrol in MECHENG 724 during the project (or have already completed this or an equivalent) if the focus will be on path-tracking control.

Specialisations

• Mechanical Engineering
• Mechatronics Engineering

Categories

• Dynamics and Control
• Mechatronics

Supervisor

• Daniel De Mel

Team

• Corbin Keane
• Julio Josef Romero

Lab

No lab has been assigned to this project