Abstract Time-of-flight (TOF) cameras are sensors that can measure the depths of scene
points, by illuminating the scene with a controlled laser or LED source and then analyzing …

The capabilities of autonomous mobile robotic systems have been steadily improving due to
recent advancements in computer science, engineering, and related disciplines such as …

Abstract Recently, the new Kinect One has been issued by Microsoft, providing the next
generation of real-time range sensing devices based on the Time-of-Flight (ToF) principle …

We present an uncertainty learning framework for dense neural simultaneous localization
and mapping (SLAM). Estimating pixel-wise uncertainties for the depth input of dense SLAM …

Abstract 3D reconstruction are used in many fields starts from the object reconstruction such
as site, and cultural artifacts in both ground and under the sea levels. The scientist are …

Three-dimensional (3D) data acquisition and real-time processing is a critical issue in an
artificial vision system. The developing time-of-flight (TOF) camera as a real-time vision …

Three-dimensional imaging using Time-of-flight (ToF) sensors is rapidly gaining widespread
adoption in many applications due to their cost effectiveness, simplicity, and compact size …

It is well known that laser scanner has better accuracy than stereo vision in detecting the
distance and velocity of the obstacles, whereas stereo vision can distinguish the objects …

In this paper we propose a framework for the fusion of depth data produced by a Time-of-
Flight (ToF) camera and stereo vision system. Initially, depth data acquired by the ToF …

This paper proposes a novel framework for the fusion of depth data produced by a Time-of-
Flight (ToF) camera and a stereo vision system. The key problem of balancing between the …