Research Publications

Now showing 1 - 4 of 4

Open Access
Advancing Object Detection: A Narrative Review of Evolving Techniques and Their Navigation Applications
(Institute of Electrical and Electronics Engineers Inc., 2025-03-17) Tennekoon, S; Wedasingha, N; Welhenge, A; Abhayasinghe, N; Murray Am, I
Object detection plays a pivotal role in advancing computer vision systems by enabling machines to perceive and interact intelligently with their environments. Despite significant advancements, comprehensive exploration of its evolution and applications in navigation remains underrepresented. This review paper examines the evolution of object detection technologies, from early methodologies to contemporary advancements, and their critical role in navigation tasks. The emphasis was on the significance of contextual learning in enhancing object detection performance by leveraging spatial and temporal information. Furthermore, the limitations of conventional approaches that rely heavily on hand-engineered features are examined. It is then demonstrated that contextual learning facilitates automated feature extraction, resulting in improved accuracy exceeding a 50% increase and adaptability in diverse applications. The review concludes by outlining future trends and opportunities for further advancements in object detection and, underscoring its transformative impact on autonomous navigation and beyond. In summary, this review contributes to a comprehensive understanding of object detection technologies by offering insights into their evolution, highlighting their applications in navigation, and providing guidance for future research in context-aware systems.
Open Access
Local Positioning System for Indoor Robot Navigation
(researchgate.net, 2015-11) De Silva, T. S
Local positioning systems for indoor robot navigation are in a developing stage using different technologies and algorithms. Many researchers and engineers have focused in improving the accuracy of the local positioning systems. The main focused era of local positioning systems is to predict the position of a robot using known landmarks or transmitting devices located in the indoor system. Most of the local positioning systems are in the experimental stage and some are developed as marketable products after testing under different conditions. Matter of fact exact positioning of a robot in an indoor environment is a fundamental problem in robot navigation. These local positioning systems are helpful in such environments where global positioning systems are not functional to provide accurate information of the position of the robot. This paper describes a methodology that can be used in indoor navigation to determine the position of a robot. In the system developed ultrasound is used as the communication method. The system designed, consists with several transmitters which can emit ultrasound and a mobile receiver which is capable in receiving the transmitted sound. The ultrasound consists with frequencies above 20 kHz. These frequencies are beyond the sensitivity range of the human ear. Mostly these kind of signals are used by bats to find their path to fly avoiding the obstacles. In the developed system three ultrasound transmitters are used as the landmarks of the positioning system. One transmitter acts as the reference terminal in initiating the determining the process of the positioning system. The accuracy of the system is depend on the number of transmitters have been used. The minimum resolution of the developed system is 5 cm and tested up to 100 cm range in an obstacle free environment.
Open Access
Accessbim model for environmental characteristics for vision impaired indoor navigation and way finding
(2012 International Conference on Indoor Positioning and Indoor Navigation, 2012-11) Jayakody, J. A. D. C. A; Abhayasinghe, N; Murray, I
Most blind people require assistance to navigate within buildings as there is often insufficient information about the buildings available to them. To address this problem, this paper describes the “AccessBIM” model as an approach to facility management in which a digital representation of the indoor building features is used to facilitate the exchange and interoperability of real-time information in digital format which can assist blind people to independently access unfamiliar building indoor environments. This paper discusses conceptual communication model driven architecture that can be implemented for way finding and data synchronization, generating, in real-time, an AccessBIM for a remote user.
Embargo
Automated Crop Harvesting, Growth Monitoring and Disease Detection System for Vertical Farming Greenhouse
(2021 3rd International Conference on Advancements in Computing (ICAC), SLIIT, 2021-12-09) Jayasekara, C.; Banneka, S.; Pasindu, G.; Udawaththa, Y.; Wellalage, S.; Abeygunawardhane, P.K.W.
- Greenhouses are a type of cultivation method used to optimize the production of crops by using controlled climatic conditions and other external factors. They are widely used in agriculture both globally and locally. Vertical farming is the modern practice of growing crops in vertically stacked layers in warehouses that aims to optimize and develop plant growth by using controlled environment agriculture. This type of agriculture concept is practiced in Sri Lanka at present. This research paper proposes a robot which consists of a specific navigation system and harvesting mechanism that can be used inside greenhouses. The proposed system can be implemented to harvest lettuce in the vertical farming greenhouses where lettuce needs to be harvested with care to ensure the supermarket quality. The above-mentioned system helps to detect the diseases of plants also where a lot of time can be saved, and less effort is made with the use of this type of implementation.

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