CS 598 DAF
CS 598 DAF - Autonomous Vehicles for AI
Spring 2017
| Title | Rubric | Section | CRN | Type | Hours | Times | Days | Location | Instructor |
|---|---|---|---|---|---|---|---|---|---|
| Autonomous Vehicles for AI | CS598 | DAF | 39668 | S11 | 4 | 1530 - 1645 | M W | 1105 Siebel Center for Comp Sci | David Forsyth |
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Official Description
Subject offerings of new and developing areas of knowledge in computer science intended to augment the existing curriculum. See Class Schedule or departmental course information for topics and prerequisites. Course Information: May be repeated in the same or separate terms if topics vary.
Section Description
We will use an existing autonomous vehicle platform to investigate a variety of topics. Major problems of
interest are:
Vision based object detection, tracking and classification, for object classes that include pedestrians, cars, trucks, both static and moving;
Multi-lane model detection using a forward facing mono-camera, including estimating distance to the left/right lane including adjacent lanes, lane confidence values, lane type (dashed, solid, etc); On road free-space detection;
Traffic light detection;
Camera based localization; Traffic sign and speed limit recognition;
Surround view with object detection and classification;
Birds eye view 360 degrees around a vehicle;
Sensor fusion including camera objects, lidar objects and radar tracks.
Evaluation will be by project. Enrollment by consent of instructor.
Last updated
8/24/2015