By Topic

Improving sensory perception through predictive correction of monitoring errors

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

2 Author(s)
Celinski, T. ; Dept. of Eng., Australian Nat. Univ., Canberra, ACT, Australia ; McCarragher, B.

We present an approach to managing the quality and cost of perception in a multi-sensor robotic system. The approach involves prediction of monitoring errors of low-performance process monitors using a weighted least squares algorithm, and detection of instances when high-performance process monitoring is necessary. Two significant characteristics of the approach are (1) dynamic, real-time management of process monitors, and (2) the ability to deliver high quality information while keeping the cost of perception low

Published in:

Robotics and Automation, 1999. Proceedings. 1999 IEEE International Conference on  (Volume:4 )

Date of Conference:

1999