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[Project image] 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This project is no longer active.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
Mei's personal homepage 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.

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