[time]
2023-08-30T16:28:06+02:00

[track]
4

[team_name]
SmartLoc

[team_institution]
Nanyang Technological University

[logolink]


[team_members]
Zhang Mingkai

[reference_person]
Wang Han

[reference_email]
wh200720041@vip.qq.com

[description_short]
Indoor localization has emerged as a crucial technology for a wide array of applications such as robotics, asset tracking, and indoor navigation. Traditional GPS-based methods face limitations when applied indoors due to signal attenuation and multipath effects. To address these challenges, an innovative indoor localization method has been developed, leveraging an error-state Kalman filter that integrates data from Inertial Measurement Units (IMUs), Global Positioning System (GPS) information, and zero velocity updates. This comprehensive approach enhances the accuracy and reliability of indoor positioning, making it ideal for environments where GPS signals are not available or are unreliable.

[description_long_link]
https://drive.google.com/file/d/19_suaE32zzDOt96gz6S9IjgVVW768QLs/view?usp=sharing

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true

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