no code implementations • 21 Sep 2023 • Aniket Jagtap, RamaKrishna Venkatesh Saripalli, Joe Lemley, Waseem Shariff, Alan F. Smeaton
Ground-truth HR measurements obtained using conventional methods were used to evaluate of the accuracy of automatic detection of HR from event camera data.
no code implementations • 15 Aug 2023 • Paul Kielty, Cian Ryan, Mehdi Sefidgar Dilmaghani, Waseem Shariff, Joe Lemley, Peter Corcoran
In a binary classification task, the fastened/unfastened frames were identified with an F1 score of 0. 989 and 0. 944 on the simulated and real test sets respectively.
no code implementations • 25 Jul 2023 • Muhammad Ali Farooq, Waseem Shariff, Mehdi Sefidgar Dilmaghani, Wang Yao, Moazam Soomro, Peter Corcoran
Optical sensors have played a pivotal role in acquiring real world data for critical applications.
1 code implementation • 18 Jan 2023 • Muhammad Ali Farooq, Waseem Shariff, Faisal Khan, Peter Corcoran
In this research work, we have proposed a thermal tiny-YOLO multi-class object detection (TTYMOD) system as a smart forward sensing system that should remain effective in all weather and harsh environmental conditions using an end-to-end YOLO deep learning framework.
no code implementations • 14 Dec 2022 • Waseem Shariff, Muhammad Ali Farooq, Joe Lemley, Peter Corcoran
The focus is on building efficient state-of-the-art object detection networks with better inference results for fast-moving forward perception using an event camera.
no code implementations • 25 Oct 2022 • Mehdi Sefidgar Dilmaghani, Waseem Shariff, Cian Ryan, Joe Lemley, Peter Corcoran
To increase the users degree of freedom in controlling the output of these cameras, such as changing the sensitivity of the sensor to light changes, controlling the number of generated events and other similar operations, the camera manufacturers usually introduce some tools to make sensor level changes in camera settings.
no code implementations • 21 Sep 2022 • David O'Callaghan, Cian Ryan, Waseem Shariff, Muhammad Ali Farooq, Joseph Lemley, Peter Corcoran
The process of obtaining high-resolution images from single or multiple low-resolution images of the same scene is of great interest for real-world image and signal processing applications.
no code implementations • 5 Jan 2022 • Muhammad Ali Farooq, Waseem Shariff, Peter Corcoran
This study is focused on evaluating the real-time performance of thermal object detection for smart and safe vehicular systems by deploying the trained networks on GPU & single-board EDGE-GPU computing platforms for onboard automotive sensor suite testing.
no code implementations • 20 Sep 2021 • Muhammad Ali Farooq, Peter Corcoran, Cosmin Rotariu, Waseem Shariff
Object detection in thermal infrared spectrum provides more reliable data source in low-lighting conditions and different weather conditions, as it is useful both in-cabin and outside for pedestrian, animal, and vehicular detection as well as for detecting street-signs & lighting poles.