走向自动驾驶:用于车辆与一切通信的技术和数据
Vygantas Ušinskis1, Mantas Makulavičius1, Sigitas Petkevičius1
1Department of Mechatronics, Robotics and Digital Manufacturing, Vilnius Gediminas Technical University, LT-10105 Vilnius, Lithuania.
Sensors (Basel, Switzerland)
|June 19, 2024
概括
智能城市的自主系统需要在交通对象之间进行强大的通信. 本文审查了车辆通信系统,确定了传感器,标准和人工智能的未来发展的差距.
科学领域:
- 智能运输系统 智能运输系统
- 自主系统工程 自主系统工程
背景情况:
- 自主系统越来越多地融入日常生活,特别是在交通方面.
- 智能城市概念为自主系统带来了复杂的挑战,尤其是对物体间通信.
- 当动态物体和多个自主系统在交通中相互作用时,有效的沟通和决策至关重要.
研究的目的:
- 审查用于自动驾驶应用的车载通信系统.
- 为了确定传感器,通信标准,设备和机器学习方法的现有差距,以便在未来开发.
- 分析与车辆相关的数据,以告知通信系统的进步.
主要方法:
- 关于车辆通信系统的文献综述.
- 对自动驾驶汽车中使用的传感器,通信标准和机器学习方法的分析.
- 检查与车辆相关的数据和现有的研究差距.
主要成果:
- 该研究回顾了当前的车载通信技术和方法.
- 它强调了传感器融合和人工智能机器学习在集成自主系统中的重要性.
- 确定了车辆通信系统的关键研究缺口.
结论:
- 需要进一步的研究来解决车辆通信系统中发现的差距.
- 传感器,标准和人工智能的进步对于增强自动驾驶运输至关重要.
- 发展功能性和可靠的通信对于安全和高效的智能城市流动至关重要.
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