Benchmarking Particle Filter Algorithms for Efficient Velodyne-Based Vehicle Localization

Benchmarking Particle Filter Algorithms for Efficient Velodyne-Based Vehicle Localization

Keeping a vehicle well-localized within a prebuilt-map is at the core of any autonomous vehicle navigation system. In this work, we show that both standard SIR sampling and rejection-based optimal sampling are suitable for efficient (10 to 20 ms) real-time pose tracking without feature detection tha...

书目详细资料
Main Authors:	Blanco Claraco, José Luis, Mañas Alvarez, Francisco, Torres Moreno, José Luis, Rodríguez Díaz, Francisco, Giménez Fernández, Antonio
格式:	info:eu-repo/semantics/article
语言:	English
出版:	MDPI 2020
主题:	global positioning system mobile robots simultaneous localization and mapping particle filter district
在线阅读:	http://hdl.handle.net/10835/7556

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