Browsing SINTEF Open by Author "Berge, Asbjørn"
Now showing items 1-5 of 5
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A Motion based Real-time Foveation Control Loop for Rapid and Relevant 3D Laser Scanning
Breivik, Gøril M.; Thielemann, Jens T; Berge, Asbjørn; Skotheim, Øystein; Kirkhus, Trine (Lecture, 2011)We present an implementation of a novel foveating 3D sensor concept, inspired by the human eye, which intends to allow future robots to better interact with their surroundings. The sensor is based on a time-of-flight laser ... -
A Motion based Real-time Foveation Control Loop for Rapid and Relevant 3D Laser Scanning
Breivik, Gøril Margrethe; Thielemann, Jens T; Berge, Asbjørn; Skotheim, Øystein; Kirkhus, Trine (Chapter, 2011)We present an implementation of a novel foveating 3D sensor concept, inspired by the human eye, which intends to allow future robots to better interact with their surroundings. The sensor is based on a time-of-flight laser ... -
Pipeline Landmark Detection for Autonomous Robot Navigation using Time-of-Flight Imagery
Thielemann, Jens T; Breivik, Gøril M.; Berge, Asbjørn (Lecture, 2008)3D imaging systems provide valuable information for autonomous robot navigation based on landmark detection in pipelines. This paper presents a method for using a time-of-flight (TOF) camera for detection and tracking of ... -
Pipeline Landmark Detection for Autonomous Robot Navigation using Time-of-Flight Imagery
Thielemann, Jens T; Breivik, Gøril M.; Berge, Asbjørn (Chapter, 2008)3D imaging systems provide valuable information for autonomous robot navigation based on landmark detection in pipelines. This paper presents a method for using a time-of-flight (TOF) camera for detection and tracking of ... -
Principal Feature Visualisation in Convolutional Neural Networks
Bakken, Marianne; Kvam, Johannes; Stepanov, Alexey; Berge, Asbjørn (Peer reviewed; Journal article, 2020)We introduce a new visualisation technique for CNNs called Principal Feature Visualisation (PFV). It uses a single forward pass of the original network to map principal features from the final convolutional layer to the ...