车辆定位卡尔曼过灯路灯顾问在城市场景中的应用.
Daniele Vignarca1, Stefano Arrigoni1, Edoardo Sabbioni1
1Department of Mechanical Engineering, Politecnico di Milano, 20156 Milan, Italy.
Sensors (Basel, Switzerland)
|August 12, 2023
概括
本研究介绍了一种基于卡尔曼波器的车辆定位方法,用于智能交通系统 (ITS). 该系统提高了交通灯顾问 (TLA) 的准确性,在城市驾驶中减少了40%的能源消耗.
科学领域:
- 智能运输系统 (ITS) 是一种智能运输系统.
- 汽车工程 汽车工程
- 控制系统 控制系统
背景情况:
- 先进的驾驶辅助系统 (ADAS) 为交通管理,安全和环境效益提供了巨大的潜力.
- 准确的车辆定位对于交通灯顾问 (TLA) 等系统的有效运行至关重要.
- 全球定位系统 (GPS) 在城市环境中的局限性需要强大的本地化解决方案.
研究的目的:
- 提出一种使用卡尔曼选的新型车辆定位技术,以提高交通灯顾问 (TLA) 系统的性能.
- 解决城市地区GPS信号丢失的挑战,以准确定位车辆.
- 验证TLA系统优化交通灯通道的速度,提高安全性和降低能源消耗的能力.
主要方法:
- 建议采用卡尔曼过的多速率传感器融合方法.
- 本地化技术将地图匹配与简单的一维动力模型集成在一起.
- 该方法旨在克服全球定位系统 (GPS) 在城市场景中的局限性.
主要成果:
- 实验结果显示,在城市道路上估计误差低于0.5米,即使在GPS信号丢失的地区.
- 拟议的本地化技术适用于交通灯顾问 (TLA) 应用.
- 验证证实,与无助驾驶相比,能源消耗减少了40%.
结论:
- 开发的基于卡尔曼波器的定位技术提供了对TLA系统至关重要的准确车辆定位.
- 该系统有效地缓解了城市环境中GPS信号丢失的问题.
- 交通灯顾问 (TLA) 系统显示了显著的节能效益,提高了驾驶效率和安全性.
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