Object Clustering With Dirichlet Process Mixture Model for Data Association in Monocular SLAM

Semantic simultaneous localization and mapping (SLAM) with a monocular camera is particularly attractive because of the deployment simplicity and economic availability. Data association problem which assigns unique identities for objects shown in multiple frames plays a fundamental role in semantic...

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Veröffentlicht in:	IEEE transactions on industrial electronics (1982) 2023-01, Vol.70 (1), p.594-603
Hauptverfasser:	Wei, Songlin, Chen, Guodong, Chi, Wenzheng, Wang, Zhenhua, Sun, Lining
Format:	Artikel
Sprache:	eng
Schlagworte:	Cameras Clustering Cuboid object detection data association Detectors Dirichlet problem Mixtures monocular SLAM Object detection Pose estimation Q measurement semantic SLAM Semantics Simultaneous localization and mapping Three-dimensional displays
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