NEW COURSE
CNS/EE 286 Section III
Dynamic Machine Vision for Intelligent Vehicles
Spring 1996
http://vision.caltech.edu/dynamic_vision/class.html
Instructor: Prof. Ernst D. Dickmanns,
Universitat der Bundeswehr, Munchen
TA: Markus Maurer, 214 Steele, tel. x4880, e-mail maurer@vision
Place and time: 239 Moore, Tu-Thu 1:30-3:00
Grading scheme: Grade/PF
Units: 9 (3-0-6)
The course will consist in a series of lectures by
Prof. Dickmanns. Students will have to turn in three homework
assignments and cooperate in groups of 2 or three to complete one
experimental project of their choice among the ones described in http://vision.caltech.edu/dynamic_vision/projects.html.
All projects are designed to lead to the construction of a fully
autonomous mobile vehicle.
See some documentation on Dr. Dickmanns' work on intelligent vehicles
at
http://www13.lrt.unibw-muenchen.de/autoe.html
Course Outline
(see also http://vision.caltech.edu/dynamic_vision/syllabus.html )
- Introduction: Intelligent vehicles
- Process representation
- The 4-D approach to dynamic machine
perception
- Image feature extraction
- Roads and relative vehicle states
- Obstacle recognition and relative state
estimation
- Vehicle control and behavioral capabilities
- Mission performance. Sequencing of behavioral
capabilities
- Summary and outlook
Homework Sets and Lab Information
California Institute of Technology,
Pasadena, CA 91125.