In recent years, the wealth of technological development revolutionised our ability to collect
data in geosciences. Due to the unprecedented level of detail of these datasets …

We present a novel deep convolutional network pipeline, LO-Net, for real-time lidar
odometry estimation. Unlike most existing lidar odometry (LO) estimations that go through …

Registration is an important step when processing three-dimensional (3-D) point clouds.
Applications for registration range from object modeling and tracking, to simultaneous …

In this paper we present a novel on-line method to recursively align point clouds. By
considering each point together with the local features of the surface (normal and curvature) …

Hand motion capture is a popular research field, recently gaining more attention due to the
ubiquity of RGB-D sensors. However, even most recent approaches focus on the case of a …

Real-time plane extraction in 3D point clouds is crucial to many robotics applications. We
present a novel algorithm for reliably detecting multiple planes in real time in organized …

Indoor environments have abundant presence of high-level semantic information which can
provide a better understanding of the environment for robots to improve the uncertainty in …

In this paper, a novel wearable RGB-D camera based indoor navigation system for the
visually impaired is presented. The system guides the visually impaired user from one …

Segmentation is an important step in many perception tasks, such as object detection and
recognition. We present an approach to organized point cloud segmentation and its …

Edges provide important visual information in scene surfaces. The need for fast and robust
feature extraction from 3D data is nowadays fostered by the widespread availability of cheap …