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In this paper we present a new method for the identification of joint elasticities of industrial robots. The presented method is able to identify the elasticity parameters in presence of coupled dynamics between two joints. An accurate model description of the joint elasticities is absolutely necessary to achieve accurate path tracking of industrial robots at high speeds. The industrial requirements...
Navigation of underwater vehicles has been and remains a substantial challenge to all underwater platforms.With the emergence of new applications and the growing acceptance of autonomous underwater vehicles (AUVs) in both military and civilian institutions, comes the need for enhanced accuracy and robustness, sustainability, and de-risking. This paper reports the development and experimental evaluation...
We describe a project to trial and develop enhanced surveillance technologies for public safety. A key technology is robust recognition of faces from low-resolution CCTV footage where there may be as few as 12 pixels between the eyes. Current commercial face recognition systems require 60-90 pixels between the eyes as well as tightly controlled image capture conditions. Our group has thus concentrated...
Although automatic identity inference based on faces has shown success when using high quality images, for CCTV based images it is hard to attain similar levels of performance. Furthermore, compared to recognition based on static images, relatively few studies have been done for video based face recognition. In this paper, we present an empirical analysis and comparison of face recognition using high...
This paper reports the development and experimental evaluation of a complete model-aided inertial navigation system (INS) for underwater vehicles. The navigation system is novel in that accurate knowledge of the vehicle dynamics is utilized for aiding the INS, and the performance is evaluated using real data collected by an autonomous underwater vehicle (AUV). Together with real-time sea current estimation,...
We present a reliable on-line handwritten recognition system which recognizes symbols, such as NATO symbols, drawn on a paper maps using a digital pen and a mobile phone. Our user evaluation shows that maximal accuracy can be achieved. Furthermore, our proposed system has low latency running on off-the-shelf mobile phones. The recognition system is part of a research effort providing field soldiers...
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