Search
Navigator: RI | Research | Projects | AURORA
Graphics enhanced version of this site
AUtomotive Run-Off-Road Avoidance system (AURORA)
This project is no longer active.
Head: Dean Pomerleau
Contact: Mei Chen
Mailing address:
Carnegie Mellon University
Robotics Institute
5000 Forbes Avenue
Pittsburgh, PA 15213
Associated center: VASC
Associated lab/group: NavLab
Jump to:
Project Description |
Personnel |
Publications
Project Description
Aurora employs a downward looking vision system consisting of a color video camera with a wide angle lens, a digitizer, and a Sun Sparc portable workstation.
By applying a novel template correlation method, it is able to reliably track lane markers on the road at 60 Hz and estimate the vehicle lateral displacement within an average absolute error of 0.8cm.
Based on this estimation, the time to lane crossing is calculated for each image field, triggering a warning alarm when it falls below a threshold.
Currently there are three warning modalities: visual, audible, and haptic (vibrating the steering wheel).
Past members
Name - Title <Email Address>
- [Home] Mei Chen -
PhD Student, RI
- Todd Jochem -
Systems Scientist <tjochem@foster-miller.com>
- Dean Pomerleau -
Adjunct Research Scientist (Adjunct) <deanp@assistware.com>
Publications
Note: This list may not be comprehensive. It contains only those publications in the RI publications database. Entries are listed in reverse chronological order.
- Modeling and Analysis of Driver/Vehicle Dynamics with Run-Off-Road Crash Avoidance Systems
J.A. Hadden, J.H. Everson, D.B. Pape, V.K. Narendran, and D. Pomerleau
30th International Symposium on Automotive Technology and Automation, June, 1997, pp. 343-350.
[Abstract]
Download: pdf [175 KB] copyrighted
- AURORA: A Vision-Based Roadway Departure Warning System
M. Chen, T. Jochem, and D. Pomerleau
tech. report CMU-RI-TR-97-21, Robotics Institute, Carnegie Mellon University, May, 1997.
[Abstract]
Download: pdf [322 KB], ps.gz [1432 KB] copyrighted
- AURORA: A Vision-Based Roadway Departure Warning System
M. Chen, T. Jochem, and D. Pomerleau
IEEE Conference on Intelligent Robots and Systems, Human Robot
Interaction and Cooperative Robots, Vol. 1, August, 1995, pp. 243 - 248.
[Abstract]
Download: pdf [318 KB], ps.gz [1419 KB] copyrighted
The Robotics Institute is part of the
School of Computer Science,
Carnegie Mellon University.
For updates and comments, please see these
instructions.
This page maintained by robotwebmaster@ri.cmu.edu