Human motion generation aims to generate natural human pose sequences and shows
immense potential for real-world applications. Substantial progress has been made recently …

Trajectory estimation refers to the task of obtaining position and orientation estimates by
fusing various sensor inputs. In kinematic map**, global navigation satellite systems …

Existing 3D scene understanding methods are heavily focused on 3D semantic and instance
segmentation. However identifying objects and their parts only constitutes an intermediate …

Accurate and reliable sensor calibration is essential to fuse LiDAR and inertial
measurements, which are usually available in robotic applications. In this article, we …

Sensor calibration is the fundamental block for a multi-sensor fusion system. This paper
presents an accurate and repeatable LiDAR-IMU calibration method (termed LI-Calib), to …

Localization and map** with heterogeneous multisensor fusion have been prevalent in
recent years. To adequately fuse multimodal sensor measurements received at different time …

In this work, we introduce Deep Bingham Networks (DBN), a generic framework that can
naturally handle pose-related uncertainties and ambiguities arising in almost all real life …

Continuous-time trajectory representation has recently gained popularity for tasks where the
fusion of high-frame-rate sensors and multiple unsynchronized devices is required. Lie …

Robotic practitioners generally approach the vision-based SLAM problem through discrete-
time formulations. This has the advantage of a consolidated theory and very good …

In this paper, we propose a highly accurate continuous-time trajectory estimation framework
dedicated to SLAM (Simultaneous Localization and Map**) applications, which enables …