Search Results for author: Alexander Schaefer

Found 6 papers, 2 papers with code

Closed-Form Full Map Posteriors for Robot Localization with Lidar Sensors

no code implementations23 Oct 2019 Lukas Luft, Alexander Schaefer, Tobias Schubert, Wolfram Burgard

A popular class of lidar-based grid mapping algorithms computes for each map cell the probability that it reflects an incident laser beam.

Long-Term Urban Vehicle Localization Using Pole Landmarks Extracted from 3-D Lidar Scans

1 code implementation23 Oct 2019 Alexander Schaefer, Daniel Büscher, Johan Vertens, Lukas Luft, Wolfram Burgard

Due to their ubiquity and long-term stability, pole-like objects are well suited to serve as landmarks for vehicle localization in urban environments.

An Analytical Lidar Sensor Model Based on Ray Path Information

no code implementations23 Oct 2019 Alexander Schaefer, Lukas Luft, Wolfram Burgard

However, many common lidar models perform poorly in unstructured, unpredictable environments, they lack a consistent physical model for both mapping and localization, and they do not exploit all the information the sensor provides, e. g. out-of-range measurements.

DCT Maps: Compact Differentiable Lidar Maps Based on the Cosine Transform

no code implementations23 Oct 2019 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.

Position

A Maximum Likelihood Approach to Extract Finite Planes from 3-D Laser Scans

1 code implementation23 Oct 2019 Alexander Schaefer, Johan Vertens, Daniel Büscher, Wolfram Burgard

Whether it is object detection, model reconstruction, laser odometry, or point cloud registration: Plane extraction is a vital component of many robotic systems.

Clustering object-detection +2

From Plants to Landmarks: Time-invariant Plant Localization that uses Deep Pose Regression in Agricultural Fields

no code implementations14 Sep 2017 Florian Kraemer, Alexander Schaefer, Andreas Eitel, Johan Vertens, Wolfram Burgard

Agricultural robots are expected to increase yields in a sustainable way and automate precision tasks, such as weeding and plant monitoring.

regression

Cannot find the paper you are looking for? You can Submit a new open access paper.