自动驾驶汽车性能LoRa技术

Puput Dani Prasetyo Adi, Iwan Purnama, Arfanda Anugrah Siregar, Angga Putra Juledi, Firman Edi, Abdul Karim, Yuyu Wahyu, F. I. Maulana, Suhardi Atmoko Budi Susilo, Toni, Ilham Maliki Harahap, Lintang Patria
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引用次数: 0

摘要

本研究是一种基于LoRa通信系统的智能车辆的方法,LoRaWAN兼容远程和户外通信,但在本文中,我们将测试LoRa处理自动驾驶车辆的能力,将在车辆系统上尝试一种盲适应数据方法。系统提供车辆运行时,传感器将数据进行实时位置,车辆的数量是4和GPS数据发送交替使用盲自适应数据率的原则,以避免数据碰撞,当GPS显示某一位置,科幻是确定的价值,影响数据速率和ToA和输出给定的RSSI在每辆车,一辆车,速度传感器节点的能耗,信号功率、信噪比、比特率或数据率和灵敏度。采用盲ADR原则,保证了车辆位置数据之间不会发生数据碰撞而导致丢包。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance LoRa Technology for Autonomous Vehicles
This research is an approach to intelligent vehicles with a LoRa communication system, LoRaWAN compatible for Long-Range and Outdoor Communication, but in this paper, we will test the ability of LoRa to handle autonomous vehicles, a Blind-Adaptive Data method will be tried on vehicles systems. The system offered is when the vehicle is running, the sensor will send position data in real-time, the number of vehicles is four, and GPS data is sent alternately using the Blind Adaptive Data Rate principle to avoid data collisions, and when the GPS shows a certain position, the value of SF is ascertained, which affects the data rate and ToA, and the output given is RSSI on each car, speed of a car, power consumption of sensor nodes, signal power, SNR, Bit rate or data rate, and sensitivity. With the Blind ADR principle, it is ensured that there is no data collision between car position data that causes packet loss.
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