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Vision for Safe Driving
This lab is no longer active.
Heads: Simon Baker and Takeo Kanade
Contact: Simon Baker
Mailing address:
Carnegie Mellon University
Robotics Institute
5000 Forbes Avenue
Pittsburgh, PA 15213
Associated center: VASC
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Lab Description |
Personnel |
Projects |
Publications
Lab Description
We are developing a variety of computer vision algorithms and systems for use in automotive safe driving applications. The systems and algorithms can be divided into three main categories:
Car Interior Understanding
Techniques for driver monitoring.
Road Scene Understanding
Techniques to understand the world around the car, the road scene.
Sensor Design
Novel active vision sensors for automotive applications.
Past members
Past projects
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AAM Fitting Algorithms - Many varieties of algorithms for fitting Cootes and Taylor's "Active Appearance Models" are developed.
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Car Tracking - Algorithms for tracking cars and generating "bird's eye views" of the surrounding road scene.
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Gaze Estimation - Algorithms for estimating where someone is looking
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Prediction & Planning - This project analyses the safety and interaction of moving objects in complex road scenes.
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Setting Low-Level Vision Parameters - Techniques for feeding back information from high-level vision modules to low-level modules to improve the performance of the overall system.
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Template Update - We are developing an algorithm to update template tracking that avoids the "drifting" problem of the naive update algorithm.
Recent publications [View all 31 publications]
- Approximating State-Space Obstacles for Non-Holonomic Motion Planning
M. Zucker
tech. report CMU-RI-TR-06-27, Robotics Institute, Carnegie Mellon University, May, 2006.
[Abstract]
Download: pdf [172 KB] copyrighted
- Evaluating Error Functions for Robust Active Appearance Models
B. Theobald, I. Matthews, and S. Baker
Proceedings of the International Conference on Automatic Face and Gesture Recognition, April, 2006, pp. 149 - 154.
[Abstract]
Download: pdf [229 KB] copyrighted
- On the Dimensionality of Deformable Face Models
I. Matthews, J. Xiao, and S. Baker
tech. report CMU-RI-TR-06-12, Robotics Institute, Carnegie Mellon University, March, 2006.
[Abstract]
Download: pdf [1489 KB] copyrighted
- Active Appearance Models with Occlusion
R. Gross, I. Matthews, and S. Baker
Image and Vision Computing, Vol. 24, No. 6, 2006, pp. 593-604.
[Abstract]
Download: pdf [3404 KB] copyrighted
- Generic vs. person specific active appearance models
R. Gross, I. Matthews, and S. Baker
Image and Vision Computing, Vol. 23, No. 11, November, 2005, pp. 1080-1093.
[Abstract]
Download: pdf [2086 KB] copyrighted
- Multi-View AAM Fitting and Camera Calibration
S.C. Koterba, S. Baker, I. Matthews, C. Hu, J. Xiao, J. Cohn, and T. Kanade
Proc. International Conference on Computer Vision, Vol. 1, October, 2005, pp. 511 - 518.
[Abstract]
Download: pdf [2053 KB] copyrighted
- Monte Carlo Road Safety Reasoning
A.E. Broadhurst, S. Baker, and T. Kanade
IEEE Intelligent Vehicle Symposium (IV2005), IEEE, June, 2005, pp. 319 - 324.
[Abstract]
Download: pdf [294 KB] copyrighted
- Active Appearance Models Revisited
I. Matthews and S. Baker
International Journal of Computer Vision, Vol. 60, No. 2, November, 2004, pp. 135 - 164.
[Abstract]
Download: pdf [759 KB] copyrighted
- A Prediction and Planning Framework for Road Safety Analysis, Obstacle Avoidance and Driver Information
A.E. Broadhurst, S. Baker, and T. Kanade
Proceedings of the 11th World Congress on Intelligent Transportation Systems, October, 2004.
[Abstract]
Download: pdf [311 KB] copyrighted
- Passive Driver Gaze Tracking with Active Appearance Models
T. Ishikawa, S. Baker, I. Matthews, and T. Kanade
Proceedings of the 11th World Congress on Intelligent Transportation Systems, October, 2004.
[Abstract]
Download: pdf [1907 KB] copyrighted
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