人工智能辅助自动驾驶汽车-道路集成电子产品用于智能运输协作感知
Yafeng Pang1,2,3, Xingyi Zhu1, Tianyiyi He2,3,4
1Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji University, Shanghai, 200092, P. R. China.
Advanced materials (Deerfield Beach, Fla.)
|July 25, 2024
概括
这项研究介绍了自动驾驶汽车道路集成电子 (SVRIE) 技术,以提高自动驾驶的感知. 这些设备使用先进的人工智能模型改进了对车辆运动,道路状况和轮胎健康的协作传感.
科学领域:
- * 智能交通运输系统
- * 自动驾驶技术的发展
- * 嵌入式系统 嵌入式系统
背景情况:
- *当前自动驾驶系统的有限感知能力需要增强的传感解决方案.
- * 车辆与道路的互动对于提高智能运输的安全性和效率至关重要.
- * 现有的车辆道路数据数据分析方法往往缺乏足够的准确性.
研究的目的:
- *为协作感知设计和验证自动驾驶汽车道路集成电子 (SVRIE).
- * 调查SVRIE作为轮胎集成装置和嵌入式路面阵列的双重作用.
- * 评估SVRIE在监测车辆运动,道路状况和轮胎健康方面的性能.
主要方法:
- * SVRIE的开发具有多层次的碎形结构,用于压力传感和抗交叉.
- *用于合作车辆基础设施系统的SVRIE阵列性能的表征.
- * 卷积神经网络 (CNN) 和转移学习的应用,用于数据分析和分类.
主要成果:
- * SVRIE在协同感应车辆运动,路面状况和轮胎健康方面表现出高性能.
- *CNN模型在分类车辆和道路状况方面实现了至少88.3%的准确性.
- *转移学习模型在路面识别方面达到100%的准确性,在轮胎运动识别方面达到97%,在轮胎健康监测方面达到99%.
结论:
- * SVRIE技术提供了一种新的方法,可以增强车辆和道路基础设施之间的协作感知.
- * 拟议的系统显著提高了监测关键驾驶参数的准确性.
- * 这项研究为未来智能运输和自动驾驶安全方面的进展提供了基础.
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