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