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Computer Vision Group
TUM Department of Informatics
Technical University of Munich

Technical University of Munich

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Robot Vision

Contact: Jörg Stückler, Prof. Dr. Daniel Cremers

We develop computer vision methods for robot systems such as micro aerial vehicles and wheeled robots. In recent years, flying robots such as quadrocopters have gained increased interest in robotics and computer vision research. To navigate safely, these robots need the ability to localize themselves autonomously using their onboard sensors.

Real-Time Trajectory Replanning for MAVs

Real-time approach to local trajectory replanning for microaerial vehicles (MAVs). Current trajectory generation methods for multicopters achieve high success rates in cluttered environments, but assume that the environment is static and require prior knowledge of the map. In the presented study, we use the results of such planners and extend them with a local replanning algorithm that can handle unmodeled (possibly dynamic) obstacles while keeping the MAV close to the global trajectory.

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Informatik IX
Chair of Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

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News

05.07.2022

We are organizing a workshop on Map-Based Localization for Autonomous Driving at ECCV 2022, Tel Aviv, Israel.

03.04.2022

In April 2022 Jürgen Sturm and Daniel Cremers were featured among the top 6 most influential scholars in robotics of the last decade.

31.03.2022

We have open PhD and postdoc positions! To apply, please use our application form.

08.03.2022

We have six papers accepted to CVPR 2022 in New Orleans!

31.01.2022

We have two papers accepted to ICRA 2022 - congrats to Lukas von Stumberg, Qing Cheng and Niclas Zeller!

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