Monocular visual sensing is the task of using a camera to estimate the scene depth, optical
flow and camera pose. In this paper, we propose a spatial–temporal 3D dependency …

Depth estimation based on a single RGB image (aka monocular depth estimation) is a
challenging task, with applications in robotics, autonomous vehicles, and other areas. With …

In the last year, universal monocular metric depth estimation (universal MMDE) has gained
considerable attention, serving as the foundation model for various multimedia tasks, such …

Predicting accurate depth with monocular images is important for low-cost robotic
applications and autonomous driving. This study proposes a comprehensive self-supervised …

The trend and growth of digitalization in the different industry sectors have increased the
demand for automation technologies in warehouse and production operations. The most …

HyperSpectral (HS) images are commonly used for classification tasks in different domains,
such as medicine. In this field, a recent use is the differentiation between healthy tissues and …

This paper proposes a method for depth estimation in video sequences acquired by a
monocular camera mounted on a mobile platform. The proposed algorithm is able to …

This thesis investigates the integration of transfer learning with ResNet-101 and compares
its performance with VGG-19 for 3D object detection in autonomous vehicles. ResNet-101 is …

This paper presents an efficient depth estimation technique for depth image-based
rendering process in the 3-D television system. It uses three depth cues, namely linear …

The present invention provides a method for estimating high-quality depth map based on
depth prediction and enhancement sub-networks, belonging to the technical field of image …