With the invention of the low-cost Microsoft Kinect sensor, high-resolution depth and visual
(RGB) sensing has become available for widespread use. The complementary nature of the …

Simultaneous localization and mapping (SLAM) in unknown GPS‐denied environments is a
major challenge for researchers in the field of mobile robotics. Many solutions for single …

The estimation of single tree and complete stand information is one of the central tasks of
forest inventory. In recent years, automatic algorithms have been successfully developed for …

Here, we present a general framework for combining visual odometry and lidar odometry in
a fundamental and first principle method. The method shows improvements in performance …

In this paper, we present a novel benchmark for the evaluation of RGB-D SLAM systems. We
recorded a large set of image sequences from a Microsoft Kinect with highly accurate and …

In this paper, we propose a dense visual SLAM method for RGB-D cameras that minimizes
both the photometric and the depth error over all pixels. In contrast to sparse, feature-based …

We present a data processing pipeline to online estimate ego‐motion and build a map of the
traversed environment, leveraging data from a 3D laser scanner, a camera, and an inertial …

The goal of our work is to provide a fast and accurate method to estimate the camera motion
from RGB-D images. Our approach registers two consecutive RGB-D frames directly upon …

3D point cloud segmentation is the process of classifying point clouds into multiple
homogeneous regions, the points in the same region will have the same properties. The …

In the last decades there has been a tremendous increase in demand for Assistive
Technologies (AT) useful to overcome functional limitations of individuals and to improve …