the Algorithm of Warehouse Vehicle Trajectory Intelligent Identification | Zendy

Kangcheng Jin | Zendy; Jie Cao | Zendy; Dongqin Shen | Zendy

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the Algorithm of Warehouse Vehicle Trajectory Intelligent Identification

Author(s) -

Kangcheng Jin,

Jie Cao,

Dongqin Shen

Publication year - 2018

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2018.10.218

Subject(s) - computer science , warehouse , identification (biology) , real time computing , process (computing) , offset (computer science) , transmission (telecommunications) , position (finance) , algorithm , range (aeronautics) , key (lock) , trajectory , telecommunications , computer security , botany , materials science , physics , finance , marketing , astronomy , economics , business , composite material , biology , programming language , operating system

Vehicle location is the key in the warehouse vehicle trajectory identification and warning, RFID signal transmission model in a closed warehouse environment in the pseudo range includes not only the RFID signal generated by the NLOS transmission distance of unknown offset, also includes the measurement of actual measurement error exists. Therefore, this paper uses the pseudo range positioning method to realize the vehicle location in the warehouse. In the study of pseudo range positioning method, position information by solving hyperbolic equations to obtain the warehouse of the vehicle, the vehicle positioning contains many constraint optimization problems, and using the distance difference method to reduce the impact of the unknown displacement and the measurement error of vehicle positioning in the process of the warehouse, to improve the positioning accuracy of warehouse vehicles.

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