42 citations · 75 across the 11 of their papers we have counts for
12 papers
Sim-to-Real Transfer of Vision-Language Navigation in Continuous Environments Using an Ackermann-Steered Mobile Robot
Chalindu Abeywansa, Sahan Gunasekara, Devindi De Silva +3
Vision-Language Navigation (VLN) enables robots to navigate through environments using natural language instructions, making human-robot interaction intuitive. Traditional VLN mode…
Articulated Humanoid Head for a Robot Receptionist Capable of Natural Human Interaction
Tharusha Fonseka, Charuka Bandara, Moshintha Hewavitharana +4
Humanoid robots have become increasingly popular in applications such as social interaction, education, and service roles, which drives the need for more natural and efficient huma…
VC-FeS: Viewpoint-Conditioned Feature Selection for Vehicle Re-identification in Thermal Vision
Yasod Ginige, Ransika Gunasekara, Darsha Hewavitharana +3
Identification of less-articulated objects using single-channel images, such as thermal images, is important in many applications, such as surveillance. However, in this domain, ex…
Vessel Re-identification and Activity Detection in Thermal Domain for Maritime Surveillance
Yasod Ginige, Ransika Gunasekara, Darsha Hewavitharana +3
Maritime surveillance is vital to mitigate illegal activities such as drug smuggling, illegal fishing, and human trafficking. Vision-based maritime surveillance is challenging main…
Collaborative Ground-Aerial Multi-Robot System for Disaster Response Missions with a Low-Cost Drone Add-On for Off-the-Shelf Drones
Shalutha Rajapakshe, Dilanka Wickramasinghe, Sahan Gurusinghe +6
In disaster-stricken environments, it's vital to assess the damage quickly, analyse the stability of the environment, and allocate resources to the most vulnerable areas where vict…
DualCam: A Novel Benchmark Dataset for Fine-grained Real-time Traffic Light Detection
Harindu Jayarathne, Tharindu Samarakoon, Hasara Koralege +3
Traffic light detection is essential for self-driving cars to navigate safely in urban areas. Publicly available traffic light datasets are inadequate for the development of algori…
Class-Aware Attention for Multimodal Trajectory Prediction
Bimsara Pathiraja, Shehan Munasinghe, Malshan Ranawella +3
Predicting the possible future trajectories of the surrounding dynamic agents is an essential requirement in autonomous driving. These trajectories mainly depend on the surrounding…
Towards Real-time Traffic Sign and Traffic Light Detection on Embedded Systems
Oshada Jayasinghe, Sahan Hemachandra, Damith Anhettigama +5
Recent work done on traffic sign and traffic light detection focus on improving detection accuracy in complex scenarios, yet many fail to deliver real-time performance, specificall…
KORSAL: Key-point Detection based Online Real-Time Spatio-Temporal Action Localization
Kalana Abeywardena, Shechem Sumanthiran, Sakuna Jayasundara +3
Real-time and online action localization in a video is a critical yet highly challenging problem. Accurate action localization requires the utilization of both temporal and spatial…
SwiftLane: Towards Fast and Efficient Lane Detection
Oshada Jayasinghe, Damith Anhettigama, Sahan Hemachandra +3
Recent work done on lane detection has been able to detect lanes accurately in complex scenarios, yet many fail to deliver real-time performance specifically with limited computati…
CeyMo: See More on Roads -- A Novel Benchmark Dataset for Road Marking Detection
Oshada Jayasinghe, Sahan Hemachandra, Damith Anhettigama +3
In this paper, we introduce a novel road marking benchmark dataset for road marking detection, addressing the limitations in the existing publicly available datasets such as lack o…
DEVI: Open-source Human-Robot Interface for Interactive Receptionist Systems
Ramesha Karunasena, Piumi Sandarenu, Madushi Pinto +3
Humanoid robots that act as human-robot interfaces equipped with social skills can assist people in many of their daily activities. Receptionist robots are one such application whe…