Dynamic Semantic Occupancy Mapping Using 3D Scene Flow and Closed-Form Bayesian Inference

This paper reports on a dynamic semantic mapping framework that incorporates 3D scene flow measurements into a closed-form Bayesian inference model. Existence of dynamic objects in the environment can cause artifacts and traces in current mapping algorithms, leading to an inconsistent map posterior....

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Aishwarya Unnikrishnan, Joey Wilson, Lu Gan, Andrew Capodieci, Paramsothy Jayakumar, Kira Barton, Maani Ghaffari
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IEEE 2022-01-01
Schriftenreihe:	IEEE Access
Schlagworte:	Bayesian inference computer vision mapping semantic scene understanding
Online-Zugang:	https://ieeexplore.ieee.org/document/9882042/
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