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Lukas Schmid

Orcid: 0000-0002-3961-8145

Affiliations:
  • Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, Cambridge, MA, USA
  • ETH Zurich, Autonomous Systems Lab, Department of Mechanical and Process Engineering, Switzerland (PhD 2022)


According to our database1, Lukas Schmid authored at least 14 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

Online presence:

On csauthors.net:

Bibliography

2024
Clio: Real-Time Task-Driven Open-Set 3D Scene Graphs.
[BibTeX]
[DOI]
Dominic Maggio
,
Yun Chang
,
Nathan Hughes
,
Matthew Trang
,
J. Daniel Griffith
,
Carlyn Dougherty
,
Eric Cristofalo
,
Lukas Schmid
,
Luca Carlone
IEEE Robotics Autom. Lett., October, 2024

Traversing Mars: Cooperative Informative Path Planning to Efficiently Navigate Unknown Scenes.
[BibTeX]
[DOI]
Friedrich M. Rockenbauer
,
Jaeyoung Lim
,
Marcus Gerhard Müller
,
Roland Siegwart
,
Lukas Schmid
CoRR, 2024

Long-Term Human Trajectory Prediction using 3D Dynamic Scene Graphs.
[BibTeX]
[DOI]
Nicolas Gorlo
,
Lukas Schmid
,
Luca Carlone
CoRR, 2024

Khronos: A Unified Approach for Spatio-Temporal Metric-Semantic SLAM in Dynamic Environments.
[BibTeX]
[DOI]
Lukas Schmid
,
Marcus Abate
,
Yun Chang
,
Luca Carlone
CoRR, 2024

2023
Dynablox: Real-Time Detection of Diverse Dynamic Objects in Complex Environments.
[BibTeX]
[DOI]
Lukas Schmid
,
Olov Andersson
,
Aurelio Sulser
,
Patrick Pfreundschuh
,
Roland Siegwart
IEEE Robotics Autom. Lett., October, 2023

3D VSG: Long-term Semantic Scene Change Prediction through 3D Variable Scene Graphs.
[BibTeX]
[DOI]
Samuel Looper
,
Javier Rodriguez Puigvert
,
Roland Siegwart
,
Cesar Cadena
,
Lukas Schmid
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
Embodied Active Domain Adaptation for Semantic Segmentation via Informative Path Planning.
[BibTeX]
[DOI]
René Zurbrügg
,
Hermann Blum
,
Cesar Cadena
,
Roland Siegwart
,
Lukas Schmid
IEEE Robotics Autom. Lett., 2022

Fast and Compute-Efficient Sampling-Based Local Exploration Planning via Distribution Learning.
[BibTeX]
[DOI]
Lukas Schmid
,
Chao Ni
,
Yuliang Zhong
,
Roland Siegwart
,
Olov Andersson
IEEE Robotics Autom. Lett., 2022

Incremental 3D Scene Completion for Safe and Efficient Exploration Mapping and Planning.
[BibTeX]
[DOI]
Lukas Schmid
,
Mansoor Nasir Cheema
,
Victor Reijgwart
,
Roland Siegwart
,
Federico Tombari
,
César Cadena
CoRR, 2022

Panoptic Multi-TSDFs: a Flexible Representation for Online Multi-resolution Volumetric Mapping and Long-term Dynamic Scene Consistency.
[BibTeX]
[DOI]
Lukas Schmid
,
Jeffrey A. Delmerico
,
Johannes L. Schönberger
,
Juan I. Nieto
,
Marc Pollefeys
,
Roland Siegwart
,
César Cadena
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021
A Unified Approach for Autonomous Volumetric Exploration of Large Scale Environments Under Severe Odometry Drift.
[BibTeX]
[DOI]
Lukas Schmid
,
Victor Reijgwart
,
Lionel Ott
,
Juan I. Nieto
,
Roland Siegwart
,
César Cadena
IEEE Robotics Autom. Lett., 2021

NeuralBlox: Real-Time Neural Representation Fusion for Robust Volumetric Mapping.
[BibTeX]
[DOI]
Stefan Lionar
,
Lukas Schmid
,
Cesar Cadena
,
Roland Siegwart
,
Andrei Cramariuc
Proceedings of the International Conference on 3D Vision, 2021

2020
An Efficient Sampling-Based Method for Online Informative Path Planning in Unknown Environments.
[BibTeX]
[DOI]
Lukas Schmid
,
Michael Pantic
,
Raghav Khanna
,
Lionel Ott
,
Roland Siegwart
,
Juan I. Nieto
IEEE Robotics Autom. Lett., 2020

2019
An Approach for Semantic Segmentation of Tree-like Vegetation.
[BibTeX]
[DOI]
Sundara Tejaswi Digumarti
,
Lukas Maximilian Schmid
,
Giuseppe Maria Rizzi
,
Juan I. Nieto
,
Roland Siegwart
,
Paul A. Beardsley
,
Cesar Cadena
Proceedings of the International Conference on Robotics and Automation, 2019


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