It is an understatement to say that today's automobile is becoming more intelligent. Given today's algorithms and the availability of low-cost, high-powered digital signal processors, even the complex task of image processing is a candidate technology that may solve some of the difficult problems such as occupant detection, lane-departure warning, drowsy-driver detection and collision avoidance, just to name a few. Designers recognize that a single automotive image processing system can perform multiple functions due to the richness of information contained in image sequences. This course provides an introduction to image processing, beginning with an overview of all it's variation in both technology and application areas and then focusing on automotive applications -- specifically feature detection and motion detection.
At the completion of this course, participants will be able to:
This course is intended for engineers and managers who would like to become familiar with image processing applications and solutions
Two(2) hours
Minimum 10, Maximum 40
Lecture. Class notes provided provided in paper-form and web site.