Platform 1: Hobby Electric Remote Control Car

	Input	Processing	Output	Feedback Loop
Software (Dynamic)	Machine Vision GPUCV			System Modeling   PID controller
Software (Static)	OS Selection
High Level	Remote Communication	Computer Platform Selection	Remote Communication
	On-Vehicle Interface		On-Vehicle Interface
Low Level	Remote Control	Embedded Platform Selection	Motor Driver Interface
Hardware (Dynamic)	Sensors
Hardware (Static)	Add-on Frame
Physical (Dynamic)	EMI/EMC
Physical (Static)	Add-on Frame

Project 3a: Cameras (Machine Vision)

More of a software/computer engineering project, it is much harder to implement on a mobile vehicle.  For the teams that are interested, the following considerations must be kept in mind:

·    Such a software platform is most easily developed on a computer-compatible system, compared to an embedded system;

·    The choice of cameras, is, of course, of the highest importance (performance vs. precision vs. goals vs. cost);

·    The algorithms and libraries are available, but many hours will be necessary for proper integration;

·    The outputs should be formatted in such a way as to be readily communicated to the other devices (i.e., byte-level commands).

Goals:

·   Research existing machine vision filtering and navigation techniques;

·   Research, assess and select machine vision software;

·   Design a functional model of the software;

·   Assess the performance of various cameras (resolution, fps, color adjustments, etc) and software filters (processor use   cost, time delay, memory use);

·   Implement a machine vision filtering and navigation solution.