Advanced Driver Assistance Systems (ADAS) in intelligent vehicles rely on accurate driver
perception within the vehicle cabin, often leveraging a combination of sensing modalities …

With advances sensory technologies, autonomous driving systems incorporate more
imaging sensors such as thermal cameras to enhance the capability of environmental …

Road safety is a major public health issue across the globe and over two-thirds of the road
accidents occur at nighttime under low-light conditions or darkness. The state of the driver …

Vision-based perception systems are crucial for profitable autonomous-driving vehicle
products. High accuracy in such perception systems is being enabled by rapidly evolving …

Thermal infrared imaging holds promise for human-machine interaction in vehicles owing to
superior performance in low-light and low-visibility conditions, and the potential for …

On-board detection of driver's emotions has become a task of high importance for car
manufacturers, as negative emotions appear to be one of the major risks for car accidents …

Safety concerns surrounding autonomous vehicles (AVs) present significant barriers to their
widespread adoption. In AVs, it is necessary to make speedy decisions to safely roam …

The measurement accuracy and reliability of thermography is largely limited by a relatively
low spatial-resolution of infrared (IR) cameras in comparison to digital cameras. Using a …

Perception systems of self-driving vehicles require large amounts of diverse data to be
robust against adverse lighting and weather conditions. Collection and annotation of such …

Neural Radiance Fields (NeRFs) quickly evolved as the new de-facto standard for the task of
novel view synthesis when trained on a set of RGB images. In this paper, we conduct a …