By Topic

Intelligent cruise control applications: real-time embedded hybrid control software

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Girard, A.R. ; Dept. Mech. Eng., Columbia Univ., New York, NY, USA ; Spry, S. ; Hedrick, J.K.

This article presents the use of a model-based approach for the development of real-time, embedded, hybrid control software. The concepts are illustrated with a scenario involving speed-profile tracking and vehicle following applications for passenger vehicles. The model-based approach was developed in partnership between the University of California at Berkeley, Ford Research Labs, and GM. An ACC and CACC system has been tested in prototype phase, both at highway speeds and in stop-and-go situations. Robotic technologies, such as range, velocity, and acceleration measurements, and their processing and fusion were used as part of the system. In addition, vehicles can present very nonlinear behavior, especially at low speeds, and their control presents a formidable challenge. The problem domain of intelligent cruise-control applications has been described in detail, along with control and software development methodologies. We are currently working on applying the same model-based approach to the development of intelligent cruise-control systems for automated transit buses.

Published in:

Robotics & Automation Magazine, IEEE  (Volume:12 ,  Issue: 1 )