Urban life is associated with a range of health risks. However, urban green spaces have
been found to promote health recovery and reduce mental stress. This study sought to …

Environmental perception is a key indicator for evaluating green space preference and
satisfaction. The shift in urban green space research towards emphasizing human benefits …

Visual localization and mapping algorithms attempt to estimate, from images, geometrical
models that explain ego motion and the positions of objects in a real scene. The success of …

A method, device, framework, and system provide the ability to control an unmanned aerial
vehicle (UAV) to avoid obstacle collision. Range data of a real-world scene is acquired …

Abstract The Environmental Psychological Restoration (EPR) is the result of the recovery of
an antecedent deficit (eg stress or attentional fatigue) culminating in a restorative …

A method and system provide for temporal fusion of depth maps in an image space
representation. A series of depth maps are obtained/acquired from one or more depth …

Visual search of relevant targets in the environment is a crucial robot skill. We propose a
preliminary framework for the execution monitor of a robot task, taking care of the robot …

In the era of deep learning, many domain adaptation studies have been done on RGB
images but not on depth. One of the reasons is that there are few databases available for …

Sensing the 3D environment of a moving robot is essential for collision avoidance. Most 3D
sensors produce dense depth maps, which are subject to imperfections due to various …

We introduce a novel model for spatially varying variational data fusion, driven by point-wise
confidence values. The proposed model allows for the joint estimation of the data and the …