30 citations · 34 across the 16 of their papers we have counts for
18 papers
From Review to Design: Ethical Multimodal Driver Monitoring Systems for Risk Mitigation, Incident Response, and Accountability in Automated Vehicles
Bilal Khana, Waseem Shariff, Rory Coyne +2
As vehicles transition toward higher levels of automation, Driver Monitoring Systems (DMS) have become essential for ensuring human oversight, safety, and regulatory compliance in…
SynSacc: A Blender-to-V2E Pipeline for Synthetic Neuromorphic Eye-Movement Data and Sim-to-Real Spiking Model Training
Khadija Iddrisu, Waseem Shariff, Suzanne Little +1
The study of eye movements, particularly saccades and fixations, are fundamental to understanding the mechanisms of human cognition and perception. Accurate classification of these…
Autobiasing Event Cameras for Flickering Mitigation
Mehdi Sefidgar Dilmaghani, Waseem Shariff, Cian Ryan +2
Understanding and mitigating flicker effects caused by rapid variations in light intensity is critical for enhancing the performance of event cameras in diverse environments. This…
Benchmarking Microsaccade Recognition with Event Cameras: A Novel Dataset and Evaluation
Waseem Shariff, Timothy Hanley, Maciej Stec +2
Microsaccades are small, involuntary eye movements vital for visual perception and neural processing. Traditional microsaccade studies typically use eye trackers or frame-based ana…
Autobiasing Event Cameras
Mehdi Sefidgar Dilmaghani, Waseem Shariff, Cian Ryan +2
This paper presents an autonomous method to address challenges arising from severe lighting conditions in machine vision applications that use event cameras. To manage these condit…
Evaluating Image-Based Face and Eye Tracking with Event Cameras
Khadija Iddrisu, Waseem Shariff, Noel E. OConnor +2
Event Cameras, also known as Neuromorphic sensors, capture changes in local light intensity at the pixel level, producing asynchronously generated data termed ``events''. This dist…
Event-Stream Super Resolution using Sigma-Delta Neural Network
Waseem Shariff, Joe Lemley, Peter Corcoran
This study introduces a novel approach to enhance the spatial-temporal resolution of time-event pixels based on luminance changes captured by event cameras. These cameras present u…
Spiking-DD: Neuromorphic Event Camera based Driver Distraction Detection with Spiking Neural Network
Waseem Shariff, Paul Kielty, Joseph Lemley +1
Event camera-based driver monitoring is emerging as a pivotal area of research, driven by its significant advantages such as rapid response, low latency, power efficiency, enhanced…
A Framework for Pupil Tracking with Event Cameras
Khadija Iddrisu, Waseem Shariff, Suzanne Little
Saccades are extremely rapid movements of both eyes that occur simultaneously, typically observed when an individual shifts their focus from one object to another. These movements…
Heart Rate Detection Using an Event Camera
Aniket Jagtap, RamaKrishna Venkatesh Saripalli, Joe Lemley +2
Event cameras, also known as neuromorphic cameras, are an emerging technology that offer advantages over traditional shutter and frame-based cameras, including high temporal resolu…
Neuromorphic Seatbelt State Detection for In-Cabin Monitoring with Event Cameras
Paul Kielty, Cian Ryan, Mehdi Sefidgar Dilmaghani +3
Neuromorphic vision sensors, or event cameras, differ from conventional cameras in that they do not capture images at a specified rate. Instead, they asynchronously log local brigh…
Decisive Data using Multi-Modality Optical Sensors for Advanced Vehicular Systems
Muhammad Ali Farooq, Waseem Shariff, Mehdi Sefidgar Dilmaghani +3
Optical sensors have played a pivotal role in acquiring real world data for critical applications. This data, when integrated with advanced machine learning algorithms provides mea…
Development, Optimization, and Deployment of Thermal Forward Vision Systems for Advance Vehicular Applications on Edge Devices
Muhammad Ali Farooq, Waseem Shariff, Faisal Khan +1
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 weath…
Event-based YOLO Object Detection: Proof of Concept for Forward Perception System
Waseem Shariff, Muhammad Ali Farooq, Joe Lemley +1
Neuromorphic vision or event vision is an advanced vision technology, where in contrast to the visible camera that outputs pixels, the event vision generates neuromorphic events ev…
Control and Evaluation of Event Cameras Output Sharpness via Bias
Mehdi Sefidgar Dilmaghani, Waseem Shariff, Cian Ryan +2
Event cameras also known as neuromorphic sensors are relatively a new technology with some privilege over the RGB cameras. The most important one is their difference in capturing t…
Recurrent Super-Resolution Method for Enhancing Low Quality Thermal Facial Data
David O'Callaghan, Cian Ryan, Waseem Shariff +3
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 appl…
Evaluation of Thermal Imaging on Embedded GPU Platforms for Application in Vehicular Assistance Systems
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-boa…
Object Detection in Thermal Spectrum for Advanced Driver-Assistance Systems (ADAS)
Muhammad Ali Farooq, Peter Corcoran, Cosmin Rotariu +1
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 outs…