Abstract 3D human pose estimation (3D HPE) in autonomous vehicles (AV) differs from
other use cases in many factors, including the 3D resolution and range of data, absence of …

With the increasing demand for human-computer interaction and health monitoring, human
behavior recognition with device-free patterns has attracted extensive attention. The …

Autonomous driving is an exciting new industry, posing important research questions. Within
the perception module, 3D human pose estimation is an emerging technology, which can …

Depth estimation is usually ill-posed and ambiguous for monocular camera-based 3D multi-
person pose estimation. Since LiDAR can capture accurate depth information in long-range …

Training a 3D human keypoint detector from point clouds in a supervised manner requires
large volumes of high quality labels. While it is relatively easy to capture large amounts of …

Recently, transformer architectures have shown superior performance compared to their
CNN counterparts in many computer vision tasks. The self-attention mechanism enables …

We propose a novel low-complexity lidar gesture recognition system for mobile robot control
robust to gesture variation. Our system uses a modular approach, consisting of a pose …

Comprehensive capturing of human motions requires both accurate captures of complex
poses and precise localization of the human within scenes. Most of the HPE datasets and …

Background Over the past decades, tremendous technological advances have emerged in
human motion analysis (HMA). Research question How has technology for analysing …

Human pose estimation based on optical sensors is difficult to solve the situation under
harsh environments and shielding. In this paper, a Micro-Doppler (MD) based human pose …