Academic Journals Database
Disseminating quality controlled scientific knowledge

Automated Exploration and Inspection: Comparing Two Visual Novelty Detectors

ADD TO MY LIST
 
Author(s): Hugo Vieira Neto | Ulrich Nehmzow

Journal: International Journal of Advanced Robotic Systems
ISSN 1729-8806

Volume: 2;
Issue: 4;
Date: 2008;
Original page

ABSTRACT
Mobile robot applications that involve exploration and inspection of dynamic environments benefit, and often even are dependant on reliable novelty detection algorithms. In this paper we compare and discuss the performance and functionality of two different on-line novelty detection algorithms, one based on incremental Principal Component Analysis and the other on a Grow-When-Required artificial neural network. A series of experiments using visual input obtained by a mobile robot interacting with laboratory and real-world environments demonstrate and measure advantages and disadvantages of each approach.
Why do you need a reservation system?      Save time & money - Smart Internet Solutions