Evidence map›Paper›PMID 39333635›Full record

ArticleScientific data2024

BASEPROD: The Bardenas Semi-Desert Planetary Rover Dataset.

Levin Gerdes, Tim Wiese, Raúl Castilla Arquillo, Laura Bielenberg, Martin Azkarate, Hugo Leblond, Felix Wilting, Joaquín Ortega Cortés, Alberto Bernal, Santiago Palanco and 1 more

Abstract read
In one paragraph

Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Levin GerdesSpace Robotics Lab, Department of Systems Engineering and Automation, University of Málaga, Malaga, Spain. gerdes@uma.es.ORCID http://orcid.org/0000-0001-7648-8928
Tim WiesePlanetary Robotics Lab, Automation and Robotics Section, European Space Agency, Noordwijk, The Netherlands.ORCID http://orcid.org/0009-0007-4789-6966
Raúl Castilla ArquilloSpace Robotics Lab, Department of Systems Engineering and Automation, University of Málaga, Malaga, Spain.ORCID http://orcid.org/0000-0003-4203-8069
Laura BielenbergPlanetary Robotics Lab, Automation and Robotics Section, European Space Agency, Noordwijk, The Netherlands.
Martin AzkaratePlanetary Robotics Lab, Automation and Robotics Section, European Space Agency, Noordwijk, The Netherlands.ORCID http://orcid.org/0000-0003-3284-5422
Hugo LeblondPlanetary Robotics Lab, Automation and Robotics Section, European Space Agency, Noordwijk, The Netherlands.ORCID http://orcid.org/0009-0009-2745-0988
Felix WiltingPlanetary Robotics Lab, Automation and Robotics Section, European Space Agency, Noordwijk, The Netherlands.
Joaquín Ortega CortésSpace Robotics Lab, Department of Systems Engineering and Automation, University of Málaga, Malaga, Spain.
Alberto BernalApplied Physics I, Faculty of Science, University of Málaga, Malaga, Spain.ORCID http://orcid.org/0000-0003-4032-3819
Santiago PalancoApplied Physics I, Faculty of Science, University of Málaga, Malaga, Spain.ORCID http://orcid.org/0000-0002-8246-7995
Carlos Pérez Del PulgarSpace Robotics Lab, Department of Systems Engineering and Automation, University of Málaga, Malaga, Spain.ORCID http://orcid.org/0000-0001-5819-8310

Funding

European Space Agency (ESA) 4000140043/22/NL/GLC/cesJunta de Andalucía PROYEXCEL-00637
6 · The paper itself

Abstract

Dataset acquisitions devised specifically for robotic planetary exploration are key for the advancement, evaluation, and validation of novel perception, localization, and navigation methods in representative environments. Originating in the Bardenas semi-desert in July 2023, the data presented in this Data Descriptor is primarily aimed at Martian exploration and contains relevant rover sensor data from approximately 1.7km of traverses, a high-resolution 3D map of the test area, laser-induced breakdown spectroscopy recordings of rock samples along the rover path, as well as local weather data. In addition to optical cameras and inertial sensors, the rover features a thermal camera and six force-torque sensors. This setup enables, for example, the study of future localization, mapping, and navigation techniques in unstructured terrains for improved Guidance, Navigation, and Control (GNC). The main features of this dataset are the combination of scientific and engineering instrument data, as well as the inclusion of the thermal camera and force-torque sensors in particular.

Identifiers

PMID39333635
PMCPMC11437203

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.