BINS: Blackboard-based Intelligent Navigation System for Multiple Sensory Data Integration
File version
Version of Record (VoR)
Author(s)
Tsunoda, Yukito
Sullivan, Tommi
Lennon, Michael
Jo, Timothy
Chun, Yong-Sik
Griffith University Author(s)
Primary Supervisor
Other Supervisors
Editor(s)
Hamid Reza Arabnia
Date
Size
File type(s)
Location
Nevada, United States
License
Abstract
An Intelligent Navigation System is equipped with various types of sensors to perceive and react to its environmental situations. The data types produced from these sensors are varied and easily complicate the integration and analysis of the data. This paper introduces a blackboard-based cooperative system for the sensor data to be plotted, analysed and integrated. The situation analysis process employs two mechanisms to improve the efficiency of the system: multi-layered analysis and minimising regions of analysis. A case study was implemented for road boundary detection using a camera and a Lidar scanner. The result from the implementation demonstrated its promising aspect.
Journal Title
Conference Title
The 2013 World Congress in Computer Science, Computer Engineering, and Applied Computing (WORLDCOMP)
Book Title
Edition
Volume
Issue
Thesis Type
Degree Program
School
DOI
Patent number
Funder(s)
Grant identifier(s)
Rights Statement
Rights Statement
© 2013 CSREA Press. The attached file is reproduced here in accordance with the copyright policy of the publisher. Please refer to the journal's website for access to the definitive, published version.
Item Access Status
Note
Access the data
Related item(s)
Subject
Computer vision
Automotive mechatronics and autonomous systems