Lukas Maximilian Schmid

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 16

Top Topics

Semantic Segmentation

Top Venues

IEEE Robotics Autom. Lett.

Publications

Samuel Looper, Javier Rodriguez Puigvert, Roland Siegwart, Cesar Cadena, Lukas Maximilian Schmid
3D VSG: Long-term Semantic Scene Change Prediction through 3D Variable Scene Graphs. ICRA (2023)
Lukas Maximilian Schmid, Olov Andersson, Aurelio Sulser, Patrick Pfreundschuh, Roland Siegwart
Dynablox: Real-time Detection of Diverse Dynamic Objects in Complex Environments. CoRR (2023)
Lukas Maximilian Schmid, Jeffrey A. Delmerico, Johannes L. Schönberger, Juan I. Nieto, Marc Pollefeys, Roland Siegwart, César Cadena
Panoptic Multi-TSDFs: a Flexible Representation for Online Multi-resolution Volumetric Mapping and Long-term Dynamic Scene Consistency. ICRA (2022)
René Zurbrügg, Hermann Blum, César Cadena, Roland Siegwart, Lukas Maximilian Schmid
Embodied Active Domain Adaptation for Semantic Segmentation via Informative Path Planning. CoRR (2022)
Lukas Maximilian Schmid, Chao Ni, Yuliang Zhong, Roland Siegwart, Olov Andersson
Fast and Compute-efficient Sampling-based Local Exploration Planning via Distribution Learning. CoRR (2022)
Lukas Maximilian Schmid, Mansoor Nasir Cheema, Victor Reijgwart, Roland Siegwart, Federico Tombari, César Cadena
Incremental 3D Scene Completion for Safe and Efficient Exploration Mapping and Planning. CoRR (2022)
Lukas Maximilian Schmid, Chao Ni, Yuliang Zhong, Roland Siegwart, Olov Andersson
Fast and Compute-Efficient Sampling-Based Local Exploration Planning via Distribution Learning. IEEE Robotics Autom. Lett. 7 (3) (2022)
Samuel Looper, Javier Rodriguez Puigvert, Roland Siegwart, Cesar Cadena, Lukas Maximilian Schmid
3D VSG: Long-term Semantic Scene Change Prediction through 3D Variable Scene Graphs. CoRR (2022)
Stefan Lionar, Lukas Maximilian Schmid, Cesar Cadena, Roland Siegwart, Andrei Cramariuc
NeuralBlox: Real-Time Neural Representation Fusion for Robust Volumetric Mapping. 3DV (2021)
Lukas Maximilian Schmid, Victor Reijgwart, Lionel Ott, Juan I. Nieto, Roland Siegwart, César Cadena
A Unified Approach for Autonomous Volumetric Exploration of Large Scale Environments Under Severe Odometry Drift. IEEE Robotics Autom. Lett. 6 (3) (2021)
Lukas Maximilian Schmid, Jeffrey A. Delmerico, Johannes L. Schönberger, Juan I. Nieto, Marc Pollefeys, Roland Siegwart, César Cadena
Panoptic Multi-TSDFs: a Flexible Representation for Online Multi-resolution Volumetric Mapping and Long-term Dynamic Scene Consistency. CoRR (2021)
Stefan Lionar, Lukas Maximilian Schmid, César Cadena, Roland Siegwart, Andrei Cramariuc
NeuralBlox: Real-Time Neural Representation Fusion for Robust Volumetric Mapping. CoRR (2021)
Lukas Maximilian Schmid, Michael Pantic, Raghav Khanna, Lionel Ott, Roland Siegwart, Juan I. Nieto
An Efficient Sampling-Based Method for Online Informative Path Planning in Unknown Environments. IEEE Robotics Autom. Lett. 5 (2) (2020)
Lukas Maximilian Schmid, Victor J. F. Reijgwart, Lionel Ott, Juan I. Nieto, Roland Siegwart, Cesar Cadena
A Unified Approach for Autonomous Volumetric Exploration of Large Scale Environments under Severe Odometry Drift. CoRR (2020)
Sundara Tejaswi Digumarti, Lukas Maximilian Schmid, Giuseppe Maria Rizzi, Juan I. Nieto, Roland Siegwart, Paul A. Beardsley, Cesar Cadena
An Approach for Semantic Segmentation of Tree-like Vegetation. ICRA (2019)
Lukas Maximilian Schmid, Michael Pantic, Raghav Khanna, Lionel Ott, Roland Siegwart, Juan I. Nieto
An Efficient Sampling-based Method for Online Informative Path Planning in Unknown Environments. CoRR (2019)