With the rise of mobile robotics, including self-driving automobiles and drones, developing
artificial vision for high-contrast and high-acuity imaging in vertically uneven illumination …

This study reviews the recent advances in data-driven polarimetric imaging technologies
based on a wide range of practical applications. The widespread international research and …

Object detection in road scenes is necessary to develop both autonomous vehicles and
driving assistance systems. Even if deep neural networks for recognition task have shown …

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

Abstract Camouflaged Object Detection (COD) is a critical task in a variety of domains, such
as medicine and military applications. The main challenge in COD is accurately detecting …

Road scene analysis is a fundamental task for both autonomous vehicles and ADAS
systems. Nowadays, one can find autonomous vehicles that are able to properly detect …

The division-of-focal-plane polarimeter, as a real-time polarization imaging technology,
suffers from missing spatial resolution. To address this challenge, we propose a novel two …

Road scene analysis is a fundamental task for both autonomous vehicles and ADAS
systems. Nowadays, one can find autonomous vehicles that are able to properly detect …

In some automatic systems, target detection is a common task, and visible images are
common sources of raw data. Researchers have confirmed that polarization information …

Road scene analysis is a fundamental task for both autonomous vehicles and ADAS
systems. Nowadays, most of autonomous vehicles are able to properly detect objects in …