Browsing General by Author "Alempijevic Alen"

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Browsing General by Author "Alempijevic Alen"

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  • Alempijevic Alen; Dissanayake Gamini; Kodagoda Sarath (IEEE, 2009)
    Relating information originating from disparate sensors observing a given scene is a challenging task, particularly when an appropriate model of the environment or the behaviour of any particular object within it is not ...
  • Alempijevic Alen; Dissanayake Gamini (The Institute of Electrical and Electronic Engineers Inc (IEEE), 2004)
    In this paper, an algorithm for extracting line segments from information gathered by a laser rangefinder is presented. The range scan is processed to compute a parameter that is invariant to the position and orientation ...
  • Sehestedt Stephan; Kodagoda Sarath; Alempijevic Alen; Dissanayake Gamini (European Conference on Mobile Robots, 2007)
    Lane detection in urban environments is a challenging task. That is mainly due to the non existence of unique models, poor quality of lane markings due to wear, occlusions due to the presence of traffic and complex road ...
  • Sehestedt Stephan; Kodagoda Sarath; Alempijevic Alen; Dissanayake Gamini (Australian Robotics and Automation Association Inc., 2009)
    In this work we present a novel approach to learning dynamics of an environment perceived by a mobile robot. More precisely, we are interested in general motion patterns occurring in the environment rather than object ...
  • Kodagoda Sarath; Underwood James; Alempijevic Alen; Kumar Suresh; Dissanayake Gamini (The Institute of Electrical and Electronic Engineers Inc (IEEE), 2006)
    Knowledge of calibration, that defines the location of sensors relative to each other, and registration, that relates sensor response due to the same physical phenomena, are essential in order to be able to fuse information ...
  • Alempijevic Alen; Underwood James; Kodagoda Sarath; Kumar Suresh; Dissanayake Gamini (The Institute of Electrical and Electronic Engineers Inc (IEEE), 2006)
    Multimodal sensor registration and calibration are crucially important aspects in distributed sensor fusion. Unknown relationships of sensors and joint probability distribution between sensory signals make the sensor ...
  • Alempijevic Alen; Dissanayake Gamini; Kodagoda Sarath (Springer, 2008)
    Multi-sensor data fusion plays an essential role in most robotic applications. Appropriate registration of information from different sensors is a fundamental requirement in multi-sensor data fusion. Registration requires ...