3D FAZODA OBYEKTLARNI LOKALIZATSIYA QILISHDA MAVJUD MUAMMOLAR TAHLILI VA POTENSIAL YECHIMLAR
Ключевые слова:
3D ob'ektni mahalliylashtirish, radiochastota (RF) lokalizatsiyasi, LiDAR, kompyuterni ko'rish, sun'iy intellekt, mashinani o'rganish, sensorlar sintezi, avtonom tizimlar, robototexnika, mahalliylashtirish algoritmlari, aqlli shaharlar, atrof-muhitga moslashish, mahalliylashtirish aniqligi, smart citiesАннотация
Ushbu maqolada 3D ob'ektni lokalizatsiya qilishning mavjud usullari va ularni robototexnika, avtonom transport va aqlli shaharlar kabi turli sohalarda qo'llash bilan bog'liq muammolar haqida umumiy ma'lumot berilgan. Lokalizatsiya tizimlari kontekstida radiochastota (RF) lokalizatsiyasi, LiDAR, kompyuterni ko'rish va sun'iy intellekt (AI) kabi turli texnologiyalardan foydalanishni o'rganadi. Maqolada har bir texnologiyaning afzalliklari va cheklovlari muhokama qilinadi va muammolarni yengish uchun potentsial yechimlar taklif etiladi, masalan, sensor termoyadroviy orqali bir nechta sensorlarni birlashtirish, mashinani o'rganish modellarini qo'llash va ilg'or algoritmlardan foydalanish.
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Библиографические ссылки
Zhang, W., & Zhou, X. (2019). RF-Based Localization and Tracking: Challenges and Solutions. Wireless Communications and Mobile Computing, 2019.
Chen, J., & Wang, H. (2018). LiDAR and Computer Vision Integration for Accurate Localization in Autonomous Vehicles. Journal of Sensors, 2018.
Yee, A. & Zheng, J. (2020). 3D Localization Methods in Autonomous Systems: A Review. International Journal of Robotics and Automation, 35(1), 12-24
Zhou, Z., & Li, Z. (2021). Artificial Intelligence and Sensor Fusion for Accurate 3D Localization. Journal of Artificial Intelligence Research, 47(3), 233-249.
Bose, S., & Raj, M. (2022). Real-Time Localization Systems: Innovations and Applications in Robotics. IEEE Transactions on Robotics, 38(2), 554-567.
Hikmetcan Özcan. (2015). Kocaeli University. Indoor Reduction of Noise in RF Signal with Kalman Filter
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