Visual Novelty Detection for Inspection Tasks using Mobile Robots

Novelty-Based Visual Inspection Using Mobile Robots

In this paper we present a novelty detection mechanism in which a mobile robot learns a model for its environment through visual exploration. Once the learning process is finished, the robot can be used to inspect the environment and highlight stimuli that do not fit the acquired model of normality. Experimental results from a visual inspection task involving the detection of arbitrary objects ...

Visual Novelty Detection for Mobile Inspection Robots

Real-time Automated Visual Inspection using Mobile Robots

We present a framework to perform novelty detection using visual input in which a mobile robot first learns a model of normality in its operating environment and later uses this to highlight uncommon visual features that may appear. This ability is of great importance for both robotic exploration and inspection tasks, because it enables the robot to allocate computational and attentional resour...

A Tale of Two Filters - On-Line Novelty Detection

For mobile robots, as well as other learning systems, the ability to highlight unexpected features of their environment – novelty detection – is very useful. One particularly important application for a robot equipped with novelty detection is inspection, highlighting potential problems in an environment. In this paper two novelty filters, both of which are capable of on-line and off-line novel...

Visual novelty detection for autonomous inspection robots

Mobile robot applications that involve automated exploration and inspection of environments are often dependant on novelty detection, the ability to differentiate between common and uncommon perceptions. Because novelty can be anything that deviates from the normal context, we argue that in order to implement a novelty filter it is necessary to exploit the robot’s sensory data from the ground u...