This paper presents WiPose, the first 3D human pose construction framework using
commercial WiFi devices. From the pervasive WiFi signals, WiPose can reconstruct 3D …

Fine-grained person perception such as body segmentation and pose estimation has been
achieved with many 2D and 3D sensors such as RGB/depth cameras, radars (eg RF-Pose) …

Automated vehicle technology has recently become reliant on 3D LiDAR sensing for
perception tasks such as mapping, localization and object detection. This has led to a rapid …

Purpose The purpose of this research is to provide the necessarily and resourceful
information regarding range sensors to select the best fit sensor for robust autonomous …

3D object detection is still an open problem in autonomous driving scenes. When
recognizing and localizing key objects from sparse 3D inputs, autonomous vehicles suffer …

In mobile robotics, scan matching of point clouds using Iterative Closest Point (ICP) allows
estimating sensor displacements. It may prove important to assess the associated …

The use of small unmanned aerial system (UAS)-based structure-from-motion (SfM;
photogrammetry) and LiDAR point clouds has been widely discussed in the remote sensing …

Snow has significant impacts on springtime flooding, water resource management practices
and the regional water-energy budget. In situ observations are considered some of the …

Vision-based 3D human pose estimation approaches are typically evaluated on datasets
that are limited in diversity regarding many factors, eg, subjects, poses, cameras, and …

In a context of 3D mapping, it is very important to obtain accurate measurements from
sensors. In particular, Light Detection And Ranging (LIDAR) measurements are typically …