Course
Number / Section: |
CIS
8590 / 001 |
Course
Title: |
Perception
of Intelligent Systems (Topics in CS) |
Instructor: |
Dr. Longin Jan Latecki |
Office: |
Wachman Hall, Room 306 |
Email: |
Latecki@temple.edu |
Phone: |
215-204-5781 |
Course Web Page: Web Site for Complete Syllabus: |
http://www.cis.temple.edu/~latecki/Courses/RobotFall07/courseAdFall07.htm |
Prerequisites: |
Understanding of probability, statistics, linear
algebra, and calculus on the undergraduate level. |
Textbook(s): |
David A. Forsyth and
Jean Ponce . Computer
Vision: A Modern Approach. Prentice Hall 2003. ISBN 0-13-085198-1 Richard O. Duda, Peter E. Hart, and David G. Stork. Pattern
Classification. (2nd ed.), Wiley, ISBN: 0-471-05669-3 |
Course Goals: |
The goal is to gain understanding of problems in
perception of robots and to learn mathematical and computational foundations
that lead to their solutions. |
Topics Covered: |
The course
introduces students to the underlying geometric, statistical and computational
concepts of robot perception. We consider two main sources of robot
perception, LIDARs (also called laser range finders) and visible light
cameras. The recent progress in autonomous navigation is to large extend due
to the usage and progress in LIDARs, which provide robots with precise depth
perception. In addition to learning the underlying concepts of robot
perception, the students will be able to estimate the perceptive abilities of
robots. |
Attendance Policy: |
Attendance is mandatory; Attendance will be taken during
lectures. |