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Khronos: A Unified Approach for Spatio-Temporal Metric-Semantic SLAM in Dynamic Environments

Lukas Schmid, Marcus Abate, Yun Chang, Luca Carlone

202428 citationsDOIOpen Access PDF

Abstract

2:16while a slower process reasons over long-term changes in the environment using a factor graph formulation.We provide an efficient implementation of the proposed spatio-temporal perception approach, that we call Khronos, and show that it unifies exiting interpretations of short-term and long-term dynamics and is able to construct a dense spatio-temporal map in real-time.We provide simulated and real results, showing that the spatio-temporal maps built by Khronos are an accurate reflection of a 3D scene over time and that Khronos outperforms baselines across multiple metrics.We further validate our approach on two heterogeneous robots in challenging, largescale real-world environments.

Topics & Concepts

Computer scienceMetric (unit)Artificial intelligenceEngineeringOperations managementRobotic Path Planning AlgorithmsModular Robots and Swarm IntelligenceRobotics and Sensor-Based Localization
Khronos: A Unified Approach for Spatio-Temporal Metric-Semantic SLAM in Dynamic Environments | Litcius