Autonomous Systems: Actuation

Our Driverless Vehicle, M19-D, needs a way of reacting to the requests sent by the motion control algorithm. Without a driver in the car, we rely on an electric motor to control the steering system, as well as a pneumatically powered linear actuator for the brakes.

M19-D’s steering system is controlled by a servo motor […]

By |August 10th, 2019|Autonomous Systems|0 Comments

Autonomous Systems: Motion Control

Once we have decided on a path to follow, we need to determine how to control our car’s acceleration and steering to navigate the desired path. To do this, we use model predictive control (MPC).

MPC works by solving for a sequence of controls over a period of time into the future called the ‘prediction […]

By |July 23rd, 2019|Autonomous Systems|0 Comments

Autonomous Systems: Path Planning

Our autonomous path planning subsystem determines how to navigate through a track. This can be broken down into two subproblems: how to navigate through an unknown track, and how to navigate a known track as fast as possible.

When navigating through an unknown track, we receive information about where cones are located, and our task […]

By |July 17th, 2019|Autonomous Systems|0 Comments

Autonomous Systems: Perception

For M19-D to be fully autonomous, it needs to be able to perceive the world, much like how we do with our own eyes. The modes that our Driverless car uses to sense the world is in the form of visible light (cameras), infrared light (LiDAR) and radio waves (GPS). MEMS (Micro-Electro-Mechanical Systems) sensors […]

By |July 9th, 2019|Autonomous Systems|0 Comments

Autonomous Systems: Computing

One of the pillars of the autonomous system is the computing platform. This essential component provides the other subsystems with the required amount of processing power to perform their various functions. This component needs to be small, robust, and consume as little power as possible to prevent any avoidable negative impact on the performance […]

By |June 25th, 2019|Autonomous Systems|0 Comments

Autonomous Systems: Simulation

Monash Motorsport’s Autonomous System (AS) Simulation subsection is an integral part of testing our driverless car, M19-D, even when it’s not at the track. Their goal is to construct a simulator that can represent three main aspects of real world racing: the environment, the vehicle dynamics and the perception sensors. The simulator is constructed […]

By |June 12th, 2019|Autonomous Systems|0 Comments