MMX Rover – DLR autonomous navigation experiment (NavDLR) test data

Parts of our data collection to test the NavDLR autonomous navigation solution.

Welcome to our data set webpage regarding  the field test. Please note that due to legal requirements imposed on us, it is necessary to fill out the registration form below prior to accessing the data set.

Description

The MMX rover will explore the surface of Phobos,
Mars’ bigger moon. It will use its stereo cameras for perceiving the environment, enabling the use of vision based autonomous navigation algorithms. The German Aerospace Center (DLR) is currently developing the corresponding autonomous navigation experiment that will allow the rover to efficiently explore the surface of Phobos, despite limited communication with Earth and long turn-around times for operations.

Our testing is mostly data set-based for which we recreate the environmental conditions on Phobos as closely as possible.
We make the corresponding data set publicly available and provide an overview on its content.

License: CC-BY-NC-SA

Publication:
IN PROGESS

 

Related Work – MADMAX

We used a similar sensor setup (+ additional sensors) in the Sahara Desert of Morocco to record the MADMAX Mars analog data set that is complementary to the data set here.

Get detailed information on MADMAX and have a look into the corresponding Publication.

Corresponding Publication – How to cite us

https://elib.dlr.de/194474/

https://ieeexplore.ieee.org/document/10115919

Meyer, Lukas und Vayugundla, Mallikarjuna und Kenny, Patrick und Smisek, Michal und Biele, Jens und Maturilli, Alessandro und Müller, Marcus Gerhard und Stürzl, Wolfgang und Schuster, Martin und Bodenmüller, Tim und Wedler, Armin und Triebel, Rudolph (2023) Testing for the MMX Rover Autonomous Navigation Experiment on Phobos. In: 2023 IEEE Aerospace Conference, AERO 2023. IEEE. IEEE Aerospace Conference, 4-11 Mar 2023, Big Sky, Montana, US. doi: 10.1109/AERO55745.2023.10115919. ISBN 978-166549032-0. ISSN 1095-323X.

 

 

BibTex

@inproceedings{meyer2023testing,
           month = {Mai},
       booktitle = {2023 IEEE Aerospace Conference, AERO 2023},
          author = {Lukas Meyer and Mallikarjuna Vayugundla and Patrick Kenny and Michal Smisek and Jens Biele and Alessandro Maturilli and Marcus Gerhard M{\"u}ller and Wolfgang St{\"u}rzl and Martin Schuster and Tim Bodenm{\"u}ller and Armin Wedler and Rudolph Triebel},
           title = {Testing for the MMX Rover Autonomous Navigation Experiment on Phobos},
       publisher = {IEEE},
            year = {2023},
             url = {https://elib.dlr.de/194474/},
        keywords = {Planetary exploration rover, autonomous navigation, Phobos, Mars Moons eXploration}
}

Publications:

List of relevant publications:

  • The MMX Rover on Phobos: The Preliminary Design of the DLR Autonomous Navigation Experiment: Software architecture overview
    Vayugundla, Mallikarjuna und Bodenmüller, Tim und Schuster, Martin J. und Müller, Marcus G. und Meyer, Lukas und Kenny, Patrick und Schuler, Florian und Bihler, Markus und Stürzl, Wolfgang und Steinmetz, Bernhard-Michael und Langwald, Jörg und Lund, Andreas und Giubilato, Riccardo und Wedler, Armin und Triebel, Rudolph und Smisek, Michal und Grebenstein, Markus (2021) The MMX Rover on Phobos: The Preliminary Design of the DLR Autonomous Navigation Experiment. In: 2021 IEEE Aerospace Conference, AERO 2021, Seiten 1-18. 2021 IEEE Aerospace Conference (50100), Virtual. doi: 10.1109/AERO50100.2021.9438496. ISBN 978-172817436-5. ISSN 1095-323X.
    Free Access: https://elib.dlr.de/144089/
  • MADMAX: Mars Analog Data Set from Morocco with identical Sensor Setup:
    Meyer, L.
    , Smíšek, M., Fontan Villacampa, A., Oliva Maza, L., Medina, D., Schuster, M. J., Steidle, F., Vayugundla, M., Müller, M. G., Rebele, B., Wedler, A., & Triebel, R. (2021). The MADMAX data set for visual‐inertial rover navigation on Mars. Journal of Field Robotics, 121. Free Access: https://doi.org/10.1002/rob.22016
  • Detailed system description of the Lightweight Rover Unit LRU (the technical reference of SUPER):
    Schuster, Martin J. et al. (2017) Towards Autonomous Planetary Exploration: The Lightweight Rover Unit (LRU), its Success in the SpaceBotCamp Challenge, and Beyond. Journal of Intelligent & Robotic Systems. Springer. doi: 10.1007/s10846-017-0680-9.
    Free Access: https://elib.dlr.de/116749/

Access

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