The operation of the DVS event camera is controlled by the user through adjusting different
bias parameters. These biases affect the response of the camera by controlling-among other …

Event cameras (EC) represent a paradigm shift and are emerging as valuable tools in the
automotive industry, particularly for in-cabin and out-of-cabin monitoring. These cameras …

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 …

Driver monitoring systems (DMS) are a key component of vehicular safety and essential for
the transition from semi-autonomous to fully autonomous driving. Neuromorphic vision …

Driver Monitoring Systems (DMS) represent a promising approach for enhancing driver
safety within vehicular technologies. This research explores the integration of neuromorphic …

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 …

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 …

Mixed-signal neuromorphic systems represent a promising solution for solving extreme-
edge computing tasks without relying on external computing resources. Their spiking neural …

Optical sensors have played a pivotal role in acquiring real world data for critical
applications. This data, when integrated with advanced machine learning algorithms …

Spiking Neural Networks (SNNs) represent a biologically inspired paradigm offering an
energy-efficient alternative to conventional artificial neural networks (ANNs) for Computer …