Positioning error analysis.

<div><p>Automated Guided Vehicles (AGVs) are vital to smart factories, enabling autonomous and efficient material transport. However, precise navigation is challenging because LiDAR provides high-dimensional, dynamic spatial data, while Inertial Measurement Unit (IMU) signals are often i...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Haichao Li (225035) (author)
مؤلفون آخرون:	XianZhou Wu (22505337) (author), Liang Wang (23021) (author), Xianke Jian (22505340) (author), Songming Liu (12267134) (author), Zeyu Chen (750283) (author), Senyang Chen (22505343) (author), Ezzeddine Touti (21807685) (author)
منشور في:	2025
الموضوعات:	Cell Biology Neuroscience Biotechnology Cancer Mental Health Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified minimal differential function linear regression learning inertial measurement unit improving motion estimation efficient material transport dynamic manufacturing environments benchmark agv dataset consistent lidar points dynamic spatial data autonomous mobility systems varying acceleration conditions robust agv navigation sidfm approach ensures findings establish sidfm lidar provides high imu fusion methods high acceleration baseline lidar imu data enabling autonomous precise navigation navigation drift low acceleration sidfm ), work proposes validated using smart factories results show reducing mismatches practical solution potential applications often intermittent novel framework imu intervals improvements enhance
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Positioning error analysis.

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