By Topic

Sensor noise model development of a longitudinal positioning system for AVCS

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)
Jiangxin Wang ; California Univ., Berkeley, CA, USA ; Chao, S.Y. ; Agogino, A.M.

The paper describes the advanced vehicle control systems (AVCS) envisioned by the California Partners for Advanced Transit and Highways (PATH) program. System simulation is crucial to ensure that every portion of the whole system designed will perform adequately together. For automated highway systems, simulation is essential for the controller design. To create a more realistic simulation environment, we need to model sensor output instead of assuming that we can measure the vehicle states exactly, that is the primary reason for the development of sensor models. Three positioning sensors are investigated in this project. Their models are developed based on real test data. In addition, the sensor models are evaluated by comparing their autocorrelation function estimates and histograms with those of real test data

Published in:

American Control Conference, 1999. Proceedings of the 1999  (Volume:6 )

Date of Conference:

1999