Between Dec 19, 2024 and Jan 2, 2025, datasets can be submitted to DRUM but will not be processed until after the break. Staff will not be available to answer email during this period, and will not be able to provide DOIs until after Jan 2. If you are in need of a DOI during this period, consider Dryad or OpenICPSR. Submission responses to the UDC may also be delayed during this time.
 

Integration of Infrared Imaging for a Head Up Display Lane Keeping and Collision Avoidance System

Loading...
Thumbnail Image

View/Download File

Persistent link to this item

Statistics
View Statistics

Journal Title

Journal ISSN

Volume Title

Title

Integration of Infrared Imaging for a Head Up Display Lane Keeping and Collision Avoidance System

Published Date

2008-06

Publisher

University of Minnesota Center for Transportation Studies

Type

Report

Abstract

A driver assistive system, which uses high accuracy, differentially corrected GPS (DGPS), high-accuracy geospatial databases, radar, computers, and driver interfaces (both a Head Up Display (HUD) and a tactile seat), has been developed to help a driver maintain lane position and avoid collisions during periods of low visibility. These systems have been tested and deployed both in Minnesota and in Alaska. Collision avoidance information is provided to a driver through the HUD. Objects located within the HUD field of view determined to be a threat to a driver are indicated as square boxes. White boxes represent an advisory, and if the detected object is fewer than fifty feet or three seconds from a collision, the box turns to red (a warning). Drivers who have used the system have speculated that a more accurate representation of the object projected on the HUD would make the driving task easier. Emerging Super and High Dynamic Range Cameras (SDRC and HDRC, respectively) appeared to be a feasible, inexpensive means with which to address drivers’ concerns. This report documents the research program. SDRC and HRDC technology failed to meet expectations, but infrared imagery was successfully integrated with the standard HUD.

Description

Related to

Replaces

License

Collections

Series/Report Number

CTS 08-09

Funding information

Isbn identifier

Doi identifier

Previously Published Citation

Other identifiers

Suggested citation

Cheng, Pi-Ming; Shankwitz, Craig. (2008). Integration of Infrared Imaging for a Head Up Display Lane Keeping and Collision Avoidance System. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/96624.

Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.