Integration of Vision and Decision-Making in an Autonomous Airborne Vehicle for Traffic Surveillance

Authors:
Silvia Coradeschi;Lars Karlsson;Klas Nordberg
Affiliations:
-;-;-
Venue:
ICVS '99 Proceedings of the First International Conference on Computer Vision Systems
Year:
1999

Citing 6
Cited 1

From image sequences towards conceptual descriptions

Image and Vision Computing
Animate vision

Artificial Intelligence
Control of perceptual attention in robot driving

Artificial Intelligence - Special volume on computer vision
Visual surveillance in a dynamic and uncertain world

Artificial Intelligence - Special volume on computer vision
Interpreting a dynamic and uncertain world: task-based control

Artificial Intelligence
Vehicles capable of dynamic vision

IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2

Anchoring Symbols to Vision Data by Fuzzy Logic

ECSQARU '95 Proceedings of the European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty

Quantified Score

Hi-index	0.01

Visualization

Abstract

In this paper we present a system which integrates computer vision and decision-making in an autonomous airborne vehicle that performs traffic surveillance tasks. The main factors that make the integration of vision and decision-making a challenging problem are: the qualitatively different kind of information at the decision-making and vision levels, the need for integration of dynamically acquired information with a priori knowledge, e.g. GIS information, and the need of close feedback and guidance of the vision module by the decision-making module. Given the complex interaction between the vision module and the decision-making module we propose the adoption of an intermediate structure, called Scene Information Manager, and describe its structure and functionalities.