Design of an autonomous architecture for a shuttle vehicle to operate in smart Columbus
Obtaining the longitudinal and lateral dynamics parameters for an autonomous shuttle vehicle, by choosing localization and perception sensors, and computer system for control and decision making.
- Low level longitudinal control: Building a simulink longitudinal model for the vehicle to demonstrate following of desired speed limits
- Low Level Lateral Control: Building a simulink lateral model for the vehicle to demonstrate path following
- Path Planning and following: Using the previous models to demonstrate maintaining a desired speed while following a larger closed path by the vehicle
- Collision Avoidance and State Flow Decision Making: Developing a simulink model to demonstrate collision avoidance and a stateflow finite state machine to illustrate decision making and control