Browsing by Author "Balasuriya Arjuna"

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Browsing by Author "Balasuriya Arjuna"

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  • Kodagoda Sarath; Wijesoma W; Balasuriya Arjuna (IEEE Control Systems Society, 2006)
    The number of road accident related fatalities and damages are reduced substantially by improving road infrastructure and enacting and imposing laws. Further reduction is possible through embedding intelligence onto the ...
  • Ge Shuzhi; Wijesoma W; Kodagoda Sarath; Balasuriya Arjuna (Institute of Electrical and Electronics Engineers, 2007)
    Robust road-boundary extraction/tracking is one of the main problems in autonomous roadway navigation. Although the road boundary can be defined by various means including lane markings, curbs, and borders of vegetation, ...
  • Wijesoma W; Kodagoda Sarath; Balasuriya Arjuna (ACTA Press, 2005)
    An important feature in most urban roads and similar environments, such as in theme parks, campus sites, industrial estates, science parks, and the like, is the existence of pavements or curbs on either side de?ning the ...
  • Jia Zhen; Balasuriya Arjuna; Challa Subhash (IEEE, 2006)
    This paper surveys the developments of the last 10 years in the area of vision based target tracking for autonomous vehicles navigation. First, the motivations and applications of using vision based target tracking for ...
  • Kodagoda Sarath; Balasuriya Arjuna; Wijesoma W (IEEE, 2002)
    In most urban roads and similar environments, such as in theme parks, campus sites, industrial estates, science parks and the like, the painted lane markings that exist may not be easily discernible by CCD cameras due to ...
  • Wijesoma W; Kodagoda Sarath; Balasuriya Arjuna; Challa Subhash (International Society of Information, 2003)
    Road detection and tracking is very useful in the synthesis of driver assistance and intelligent transportation systems. In this paper a methodology is proposed based on the extended Kalman filer for robust road curb ...
  • Teoh Eam; Wijesoma W; Balasuriya Arjuna; Kodagoda Sarath (IEEE, 2001)
    This paper presents a methodology for extracting road edge and lane information for smart and intelligent navigation of vehicles. The range information provided by a fast laser range-measuring device is processed by an ...
  • Balasuriya Arjuna; Zhen Jia; Challa Subhash (The Institute of Electrical and Electronic Engineers Inc (IEEE), 2005)
    This paper proposes an approach for object identification and tracking for autonomous vehicle application. In this scheme, data from the vehicle’s onboard vision and motion sensors are fused to identify the target ...
  • Jia Zhen; Balasuriya Arjuna; Challa Subhash (Elsevier Science Bv, 2008)
    In this paper, a novel algorithm is proposed for the visual target tracking by Autonomous Guide Vehicles (AGV). This paper proposes a sensor data fusion system to estimate the dynamics of the target. Optical flow vectors, ...
  • Zhen Jia; Balasuriya Arjuna; Challa Subhash (The Institute of Electrical and Electronic Engineers Inc (IEEE), 2005)
    An approach is proposed for vision based object identification and tracking for autonomous vehicle applications. In this scheme, data from the vehicles onboard vision and motion sensors are fused to identify the target ...
  • Jia Zhen; Balasuriya Arjuna; Challa Subhash (Academic Press Inc Elsevier Science, 2008)
    In this paper, a novel algorithm is proposed for the vision-based object tracking by autonomous vehicles. To estimate the velocity of the tracked object, the algorithm fuses the information captured by the vehicle's on-board ...
  • Balasuriya Arjuna; Zhen Jia; Challa Subhash (The Institute of Electrical and Electronic Engineers Inc (IEEE), 2004)
    In this paper, air algorithm is proposed to identify and track moving objects for the autonomous vehicles target followitig application. It is a difficult problem because both the targets and the cameras are moving. ...
  • Balasuriya Arjuna; Zhen Jia; Challa Subhash (ICARCV, 2004)
    This paper proposes a data fusion scheme for visual object identification and tracking by autonomous vehicles. In this scheme, image motion vectors fields, color features, visual disparity depth information and camera ...