Learning-based depth estimation has witnessed recent progress in multiple directions; from
self-supervision using monocular video to supervised methods offering highest accuracy …

Obstacle detection is a complex task involving detection of obstacle features, identification of
appropriate sensor and environmental conditions. The development of water hazard …

This review article aims to address common research questions in passive polarized vision
for robotics. What kind of polarization sensing can we embed into robots? Can we find our …

Polarimetric imaging has been applied in a growing number of applications in robotic vision
(ex. underwater navigation, glare removal, de-hazing, object classification, and depth …

Polarization information of the light can provide rich cues for computer vision and scene
understanding tasks, such as the type of material, pose, and shape of the objects. With the …

This study presents HoloSR, a novel deep learning-based super-resolution approach
designed to produce high-resolution computer-generated holograms from low-resolution …

Autonomous driving and advanced driver-assistance systems rely on a set of sensors and
algorithms to perform the appropriate actions and provide alerts as a function of the driving …

In this paper, a method based on transfer learning is proposed to recover the three-
dimensional shape of cultural relics faces from a single old photo. It can simultaneously …

Among the different sensing modalities, vision sensors are the ones thatprovide the most
abundant environmental information. Additionally, the usage ofa short focal length lens …

A method of image processing is described. The method comprises receiving a set of at
least three images of an object including at least two linearly-polarized images and at least …