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Lukas Schmid β most-cited papers & profile Β· Computer Vision
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Lukas Schmid
7
papers Β·
4
citations
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Most-cited papers
Khronos: A Unified Approach for Spatio-Temporal Metric-Semantic SLAM in Dynamic Environments
2024 Β· 3 citations
Dynablox: Real-time Detection of Diverse Dynamic Objects in Complex Environments
2023 Β· 1 citations
An Efficient Sampling-based Method for Online Informative Path Planning in Unknown Environments
2019
A Unified Approach for Autonomous Volumetric Exploration of Large Scale Environments under Severe Odometry Drift
2020
Panoptic Multi-TSDFs: a Flexible Representation for Online Multi-resolution Volumetric Mapping and Long-term Dynamic Scene Consistency
2021
Fast and Compute-efficient Sampling-based Local Exploration Planning via Distribution Learning
2022
Traversing Mars: Cooperative Informative Path Planning to Efficiently Navigate Unknown Scenes
2024
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