139 citations · 288 across the 8 of their papers we have counts for
8 papers
Building an Aerial-Ground Robotics System for Precision Farming: An Adaptable Solution
Alberto Pretto, Stéphanie Aravecchia, Wolfram Burgard +25
The application of autonomous robots in agriculture is gaining increasing popularity thanks to the high impact it may have on food security, sustainability, resource use efficiency…
DCT Maps: Compact Differentiable Lidar Maps Based on the Cosine Transform
Alexander Schaefer, Lukas Luft, Wolfram Burgard
Most robot mapping techniques for lidar sensors tessellate the environment into pixels or voxels and assume uniformity of the environment within them. Although intuitive, this repr…
A Maximum Likelihood Approach to Extract Finite Planes from 3-D Laser Scans
Alexander Schaefer, Johan Vertens, Daniel Büscher +1
Whether it is object detection, model reconstruction, laser odometry, or point cloud registration: Plane extraction is a vital component of many robotic systems. In this paper, we…
A Maximum Likelihood Approach to Extract Polylines from 2-D Laser Range Scans
Alexander Schaefer, Daniel Büscher, Lukas Luft +1
Man-made environments such as households, offices, or factory floors are typically composed of linear structures. Accordingly, polylines are a natural way to accurately represent t…
Long-Term Urban Vehicle Localization Using Pole Landmarks Extracted from 3-D Lidar Scans
Alexander Schaefer, Daniel Büscher, Johan Vertens +2
Due to their ubiquity and long-term stability, pole-like objects are well suited to serve as landmarks for vehicle localization in urban environments. In this work, we present a co…
Closed-Form Full Map Posteriors for Robot Localization with Lidar Sensors
Lukas Luft, Alexander Schaefer, Tobias Schubert +1
A popular class of lidar-based grid mapping algorithms computes for each map cell the probability that it reflects an incident laser beam. These algorithms typically determine the…