73 citations · 93 across the 4 of their papers we have counts for
4 papers · 1 filter
Learning Object Placements For Relational Instructions by Hallucinating Scene Representations
Oier Mees, Alp Emek, Johan Vertens +1
Robots coexisting with humans in their environment and performing services for them need the ability to interact with them. One particular requirement for such robots is that they…
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…
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…
From Plants to Landmarks: Time-invariant Plant Localization that uses Deep Pose Regression in Agricultural Fields
Florian Kraemer, Alexander Schaefer, Andreas Eitel +2
Agricultural robots are expected to increase yields in a sustainable way and automate precision tasks, such as weeding and plant monitoring. At the same time, they move in a contin…