Robotics & Machine Learning Daily News2024,Issue(Jul.5) :10-11.

Findings from Beijing Jiaotong University Provides New Data about Intelligent Ve hicles (Enhanced Fault Detection for Gnssins Integration Using Maximum Correntro py Filter and Local Outlier Factor)

Robotics & Machine Learning Daily News2024,Issue(Jul.5) :10-11.

Findings from Beijing Jiaotong University Provides New Data about Intelligent Ve hicles (Enhanced Fault Detection for Gnssins Integration Using Maximum Correntro py Filter and Local Outlier Factor)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Current study results on Transportation - Intelli gent Vehicles have been published. According tonews reporting originating from Beijing, People’s Republic of China, by NewsRx correspondents, researchstated, “Fault detection is crucial to isolate positioning risks for safety-critical app lications using Global Navigation Satellite Systems. Conventional Kalman filter- based fault detection methods mainly focus onsatellite measurement faults and p resume that the test statistics follow the chi-square distribution.”

Key words

Beijing/People’s Republic of China/Asi a/Intelligent Vehicles/Transportation/Beijing Jiaotong University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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