Implementation and analysis of a parallel kalman filter algorithm for lidar localization based on CUDA technology

Implementation and analysis of a parallel kalman filter algorithm for lidar localization based on CUDA technology

Introduction: Navigation satellite systems can fail to work or work incorrectly in a number of conditions: signal shadowing, electromagnetic interference, atmospheric conditions, and technical problems. All of these factors can significantly affect the localization accuracy of autonomous driving sys...

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Bibliographic Details
Main Author:	Lesia Mochurad
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2024-02-01
Series:	Frontiers in Robotics and AI
Subjects:	extended kalman filter lidar CUDA technology real-time systems acceleration
Online Access:	https://www.frontiersin.org/articles/10.3389/frobt.2024.1341689/full

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