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Updated: Jul 20, 2025

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基于DNN的估计汽车雷达传感器的错位状态

Junho Kim1, Taewon Jeong2, Seongwook Lee1

  • 1School of Electrical and Electronics Engineering, College of ICT Engineering, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 06974, Republic of Korea.

Sensors (Basel, Switzerland)
|July 29, 2023
PubMed
概括

这项研究引入了深度神经网络 (DNN) 方法,以估计无需移除保险的雷达传感器倾斜角度. 这确保了可靠的先进驾驶辅助系统 (ADAS) 性能和车辆安全.

关键词:
汽车雷达 汽车雷达 雷达深度神经网络是一个神经网络.频率调节的连续波雷达可以通过频率调节来进行测试.错位的错位是指错位的错位.倾斜的角度倾斜的角度

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Global Positioning System (GPS) technology has revolutionized navigation and positioning, but its accuracy is often compromised by various errors. These errors, stemming from environmental, satellite, and receiver-related factors, require careful mitigation to ensure reliable performance across applications.Atmospheric ErrorsGPS signals travel through the Earth’s ionosphere and troposphere, introducing delays which affect accuracy. The ionosphere is strongly influenced by charged particles,...
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