In autonomous driving, the motion planning subsystem is required to determine a feasible state and control trajectory to navigate the vehicle to perform a specific task. Kerry He’s thesis presents an implementation of a receding horizon planner (RHP) to perform motion planning for Monash Motorsport’s autonomous racecar to compete in the Formula Student Driverless competition.

The design of a path planning and control algorithm for a formula student vehicle is one of the key milestones to competing in driverless competitions. Adam Slomoi’s Final Year Project takes us back to the team’s beginnings for autonomous driving, from optimal race line computation to control.

Vincent Chu’s Final Year Thesis outlines and clearly defines aspects of the Monash Motorsport brand, serving as a referential source for brand deployment.

In our pursuit to become Australia’s first team to compete with a driverless car, Michael Mattiske’s Final Year Project was essential as it established our perception and state estimation foundations.

Drivers are one of the biggest variables in any Formula SAE team. Check out how Tom Behrendt made our current driver simulator to help them perform at their best.

Sam Wilson’s 2019 thesis on a new 3D printed intake design and manufacture in combination with an electronic throttle body helped us maximise performance for M19-C.

Back in 2018, during the foundational stages of M19-D’s development, James Wyatt and our Autonomous Systems team sought to build and implement a computing platform - an integral component of our first ever Driverless Vehicle.

Adam Mapson’s thesis details Monash Motorsport’s 2011 suspension package - designed with a strong focus on manufacturability and efficiency.

Luke’s 2009 thesis on aerodynamic package design, development and validation has helped the team take our wings to the next level.

Steven Webb’s Final Year Thesis on lap time and competition points simulation has been a cornerstone of MMS performance for many years. Now it is time to share it.