activity
20152020
most citedChoosing Smartly: Adaptive Multimodal Fusion for Object Detection in Changing Environments

96 citations · 159 across the 5 of their papers we have counts for

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Showing 2017Show all

5 papers · 1 filter

cs.RO2017★ 12 cited

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…

cs.RO2017

Deep Detection of People and their Mobility Aids for a Hospital Robot

Andres Vasquez, Marina Kollmitz, Andreas Eitel +1

Robots operating in populated environments encounter many different types of people, some of whom might have an advanced need for cautious interaction, because of physical impairme…

cs.RO2017

Learning to Singulate Objects using a Push Proposal Network

Andreas Eitel, Nico Hauff, Wolfram Burgard

Learning to act in unstructured environments, such as cluttered piles of objects, poses a substantial challenge for manipulation robots. We present a novel neural network-based app…

cs.RO2017★ 96 cited

Choosing Smartly: Adaptive Multimodal Fusion for Object Detection in Changing Environments

Oier Mees, Andreas Eitel, Wolfram Burgard

Object detection is an essential task for autonomous robots operating in dynamic and changing environments. A robot should be able to detect objects in the presence of sensor noise…

cs.RO2017

Optimization Beyond the Convolution: Generalizing Spatial Relations with End-to-End Metric Learning

Philipp Jund, Andreas Eitel, Nichola Abdo +1

To operate intelligently in domestic environments, robots require the ability to understand arbitrary spatial relations between objects and to generalize them to objects of varying…