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Data analysis / Covariance and correlation / Algebra of random variables / Kalman filter / Mahalanobis distance / Euclidean vector / Covariance matrix / Covariance / Lane / Statistics / Multivariate statistics / Robot control


2013 IEEE Intelligent Transportation Systems Conference (ITSC), the Hague, the Netherlands, Oct. 7-9, 2013, ppMap-based Long Term Motion Prediction for Vehicles in Traffic Environments Dominik Petrich1 , Thao
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Document Date: 2014-06-08 16:45:24


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City

the Hague / Aschaffenburg / /

Company

Local Geodetic Systems / I. INTRODUCTION Modern Advanced Driver Assistance Systems / Intelligent Transportation Systems / Daimler AG / /

Country

Germany / Netherlands / /

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Facility

Institute of Measurement / Karlsruher Institute of Technology / /

IndustryTerm

long-term motion prediction algorithm / road networks / strain energy / driver assistance systems / stationary sensor networks / minimum strain energy / /

Organization

Institute of Technology / Institute of Measurement and Control Systems / /

Person

B. Chun Yang / /

Position

VelocityBased Driver / author / driver / analytic model of a road segment / representative / /

Product

Extended Kalman Filter / /

PublishedMedium

Quality and Reliability Engineering International / /

Technology

long-term motion prediction algorithm / adaptive MCUSUM algorithm / adaptive multivariate MCUSUM algorithm / EKF algorithm / normal MCUSUM algorithm / MCUSUM algorithm / pdf / presented algorithm / /

URL

http /

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