Search Results for author: Peshala Jayasekara

Found 7 papers, 5 papers with code

DualCam: A Novel Benchmark Dataset for Fine-grained Real-time Traffic Light Detection

1 code implementation3 Sep 2022 Harindu Jayarathne, Tharindu Samarakoon, Hasara Koralege, Asitha Divisekara, Ranga Rodrigo, Peshala Jayasekara

We introduce a novel benchmark traffic light dataset captured using a synchronized pair of narrow-angle and wide-angle cameras covering urban and semi-urban roads.

Navigate Self-Driving Cars

Towards Real-time Traffic Sign and Traffic Light Detection on Embedded Systems

1 code implementation5 May 2022 Oshada Jayasinghe, Sahan Hemachandra, Damith Anhettigama, Shenali Kariyawasam, Tharindu Wickremasinghe, Chalani Ekanayake, Ranga Rodrigo, Peshala Jayasekara

In this work, we propose a simple deep learning based end-to-end detection framework, which effectively tackles challenges inherent to traffic sign and traffic light detection such as small size, large number of classes and complex road scenarios.

KORSAL: Key-point Detection based Online Real-Time Spatio-Temporal Action Localization

1 code implementation5 Nov 2021 Kalana Abeywardena, Shechem Sumanthiran, Sakuna Jayasundara, Sachira Karunasena, Ranga Rodrigo, Peshala Jayasekara

Despite the simplicity of our approach, our lightweight end-to-end architecture achieves state-of-the-art frame-mAP of 74. 7% on the challenging UCF101-24 dataset, demonstrating a performance gain of 6. 4% over the previous best online methods.

Optical Flow Estimation Spatio-Temporal Action Localization +1

CeyMo: See More on Roads -- A Novel Benchmark Dataset for Road Marking Detection

1 code implementation22 Oct 2021 Oshada Jayasinghe, Sahan Hemachandra, Damith Anhettigama, Shenali Kariyawasam, Ranga Rodrigo, Peshala Jayasekara

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 of challenging scenarios, prominence given to lane markings, unavailability of an evaluation script, lack of annotation formats and lower resolutions.

Instance Segmentation object-detection +3

SwiftLane: Towards Fast and Efficient Lane Detection

no code implementations22 Oct 2021 Oshada Jayasinghe, Damith Anhettigama, Sahan Hemachandra, Shenali Kariyawasam, Ranga Rodrigo, Peshala Jayasekara

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 computational resources.

Lane Detection

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