Machine learning is an expanding field with an ever-increasing role in everyday life, with its
utility in the industrial, agricultural, and medical sectors being undeniable. Recently, this …

Multispectral imaging and deep learning have emerged as powerful tools supporting diverse
use cases from autonomous vehicles to agriculture, infrastructure monitoring and …

The automatic detection of humans in aerial thermal imagery plays a significant role in
various real-time applications, such as surveillance, search and rescue and border …

For vehicles to navigate autonomously, they need to perceive and understand their
immediate surroundings. Currently, cameras are the preferred sensors, due to their high …

Event cameras, unlike traditional frame-based cameras, excel in detecting and reporting
changes in light intensity on a per-pixel basis. This unique technology offers numerous …

Segment Anything Model (SAM) is drastically accelerating the speed and accuracy of
automatically segmenting and labeling large Red-Green-Blue (RGB) imagery datasets …

For decades, the number of automobiles in urban areas around the world has been
increasing. It causes serious challenges such as traffic congestion, accidents, and pollution …

The rapid adoption of Advanced Driver Assistance Systems (ADAS) in modern vehicles,
aiming to elevate driving safety and experience, necessitates the real-time processing of …

This study is focused on evaluating the real-timeperformance of thermal object detection for
smart and safe vehicular systems by deploying the trained networks on GPU & single-board …

Event cameras provide a novel imaging technology for high-speed analysis of localized
facial motions such as eye gaze, eye-blink and micro-expressions by taking input at the level …