|
|
|
Introduction to Autonomous Systems (1/2 week)
|
|
An introduction into system autonomy and mission configurations.
|
|
System Architecture (1/2 week)
|
|
Various autonomous vehicle control architectures will be presented and discussed.
|
|
Vehicle kinematics and Dynamic Modeling (2 weeks)
|
|
Introduction to vehicle design, system dynamics, and vehicle structures.
|
|
|
|
Classes will introduce the classes of sensors typically found on autonomous vehicle systems. Sensors used for mobility platform control and those utilized within payloads will be discussed.
|
|
|
|
Techniques, like Kalman Filters, used to combine sensor inputs to create more robust estimates of environmental conditions and system states will be presented.
|
|
|
|
Methods used to determine the vehicle’s position within a given reference frame and techniques used to map the operational environment will be reviewed.
|
|
Navigation/ Path Planning (2 weeks).
|
|
Topics relating to vehicle guidance and path planning, navigation, vehicle control, and mission planning will be presented.
|
|
Obstacle Detection and Avoidance (2 weeks).
|
|
Topics related to the deployment of sensors used to detect a range of objects and their strengths and weaknesses will be presented
|
|
Human/Operator Interface (1 week)
|
|
Methods and technologies used to communicate the operator’s intent to the autonomous vehicle will be presented.
|
|
|
|
Will include expert systems and neural networks
|