Lukas Schmid
Lukas Schmid
MIT-SPARK Lab, Cambridge, MA, USA
Verified email at - Homepage
Cited by
Cited by
An efficient sampling-based method for online informative path planning in unknown environments
L Schmid, M Pantic, R Khanna, L Ott, R Siegwart, J Nieto
IEEE Robotics and Automation Letters 5 (2), 1500-1507, 2020
Panoptic multi-tsdfs: a flexible representation for online multi-resolution volumetric mapping and long-term dynamic scene consistency
L Schmid, J Delmerico, JL Schönberger, J Nieto, M Pollefeys, R Siegwart, ...
2022 International Conference on Robotics and Automation (ICRA), 8018-8024, 2022
A spatio temporal spectral framework for plant stress phenotyping
R Khanna, L Schmid, A Walter, J Nieto, R Siegwart, F Liebisch
Plant methods 15, 1-18, 2019
A unified approach for autonomous volumetric exploration of large scale environments under severe odometry drift
L Schmid, V Reijgwart, L Ott, J Nieto, R Siegwart, C Cadena
IEEE Robotics and Automation Letters 6 (3), 4504-4511, 2021
Neuralblox: Real-time neural representation fusion for robust volumetric mapping
S Lionar, L Schmid, C Cadena, R Siegwart, A Cramariuc
2021 International Conference on 3D Vision (3DV), 1279-1289, 2021
Embodied active domain adaptation for semantic segmentation via informative path planning
R Zurbrügg, H Blum, C Cadena, R Siegwart, L Schmid
IEEE Robotics and Automation Letters 7 (4), 8691-8698, 2022
Fast and compute-efficient sampling-based local exploration planning via distribution learning
L Schmid, C Ni, Y Zhong, R Siegwart, O Andersson
IEEE Robotics and Automation Letters 7 (3), 7810-7817, 2022
An approach for semantic segmentation of tree-like vegetation
ST Digumarti, LM Schmid, GM Rizzi, J Nieto, R Siegwart, P Beardsley, ...
2019 International Conference on Robotics and Automation (ICRA), 1801-1807, 2019
Dynablox: Real-Time Detection of Diverse Dynamic Objects in Complex Environments
L Schmid, O Andersson, A Sulser, P Pfreundschuh, R Siegwart
IEEE Robotics and Automation Letters 8 (10), 6259 - 6266, 2023
3d vsg: Long-term semantic scene change prediction through 3d variable scene graphs
S Looper, J Rodriguez-Puigvert, R Siegwart, C Cadena, L Schmid
2023 IEEE International Conference on Robotics and Automation (ICRA), 8179-8186, 2023
SC-Explorer: Incremental 3D Scene Completion for Safe and Efficient Exploration Mapping and Planning
L Schmid, MN Cheema, V Reijgwart, R Siegwart, F Tombari, C Cadena
arXiv preprint arXiv:2208.08307, 2022
Khronos: A Unified Approach for Spatio-Temporal Metric-Semantic SLAM in Dynamic Environments
L Schmid, M Abate, Y Chang, L Carlone
arXiv preprint arXiv:2402.13817, 2024
Robust Active Perception and Volumetric Mapping in Unknown Changing Environments
L Schmid
ETH Zürich, 2022
Active Path Planning for 3D Reconstruction with UAVs
L Schmid
ETH Zurich, 2019
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