SYST 684 - Sensor Data Fusion

Institution:

George Mason University

Subject:

Description:

Credits: 3 Examines design issues in multisensor fusion systems. Studies use of probability, evidence, and possibility theories for object identification. Studies Bayesian networks, blackboard architectures, and spatial and temporal reasoning for situation assessment. Prerequisites SYST 680 or ECE 670. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.gmu.edu

Phone Number:

(703) 993-1000

Regional Accreditation:

Southern Association of Colleges and Schools

Calendar System:

Semester

The Course Profile information is provided and updated by third parties including the respective institutions. While the institutions are able to update their information at any time, the information is not independently validated, and no party associated with this website can accept responsibility for its accuracy.