Electrical and Comp Engineerng
EECE 5554: Robotics Sensing and Navigation
Lecture - 4 credits
ND
EI
IC
FQ
SI
AD
DD
ER
WF
WD
WI
EX
CE
- Examines the actual sensors and mathematical techniques for robotic sensing and navigation with a focus on sensors such as cameras, sonars, and laser scanners.
- These are used in association with techniques and algorithms for dead reckoning and visual inertial odometry in conjunction with GPS and inertial measurement units.
- Covers Kalman filters and particle filters as applied to the SLAM problem.
- A large component of the class involves programming in both the ROS and LCM environments with real field robotics sensor data sets.
- Labs incorporate real field sensors and platforms.
- Culminates with both an individual design project and a team-based final project of considerable complexity.
Examines the actual sensors and mathematical techniques for robotic sensing and navigation with a focus on sensors such as cameras, sonars, and laser scanners. Show more.