ASC localization in noisy environment based on wireless sensor network
| Autor: | Byung-Ju Yi, Se-Min Oh, Shengnan Gai |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Probability estimation
Computer science business.industry Mechanical Engineering Shopping mall Gaussian Computational Mechanics Mobile robot Sensor fusion symbols.namesake Odometry Artificial Intelligence symbols Robot Computer vision Artificial intelligence business Engineering (miscellaneous) Wireless sensor network |
| Zdroj: | Intelligent Service Robotics. 8:201-213 |
| ISSN: | 1861-2784 1861-2776 |
| DOI: | 10.1007/s11370-015-0172-3 |
| Popis: | This study investigates indoor localization problem of robot or a customer at shopping mall environment. To improve the localization accuracy, a sensor fusion-based approach is employed, which combines data from ZigBee, odometry of active shopping cart (ASC), and QR marker. The proposed algorithm employs Gaussian probability estimation method and thus it is adaptive to localization problem even at noisy environment such as the shopping mall. To implement the localization service, an ASC which is equipped with motors for navigation, a laser sensor for tracking, and a tablet computer for human---computer interaction is designed. Through experimental work, we corroborate the feasibility of the proposed localization algorithms. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink