Ampadu Kwame Owusu, Huebner Michael
Computer Engineering, Brandenburg University of Technology, Cottbus-Senftenberg, 03046 Cottbus, Germany.
Sensors (Basel). 2024 Dec 30;25(1):152. doi: 10.3390/s25010152.
Occasionally, four cars arrive at the four legs of an unsignalized intersection at the same time or almost at the same time. If each lane has a stop sign, all four cars are required to stop. In such instances, gestures are used to communicate approval for one vehicle to leave. Nevertheless, the autonomous vehicle lacks the ability to participate in gestural exchanges. A sophisticated in-vehicle traffic light system has therefore been developed to monitor and facilitate communication among autonomous vehicles and classic car drivers. The fuzzy logic-based system was implemented and evaluated on a self-organizing network comprising eight ESP32 microcontrollers, all operating under the same program. A single GPS sensor connects to each microcontroller that also manages three light-emitting diodes. The ESPNow broadcast feature is used. The system requires no internet service and no large-scale or long-term storage, such as the driving cloud platform, making it backward-compatible with classical vehicles. Simulations were conducted based on the order and arrival direction of vehicles at three junctions. Results have shown that autonomous vehicles at four-legged intersections can now communicate with human drivers at a much lower cost with precise position classification and lane dispersion under 30 s.
偶尔,四辆车会同时或几乎同时到达无信号灯交叉路口的四个路口。如果每个车道都有停车标志,那么这四辆车都必须停车。在这种情况下,人们会用手势来示意某辆车可以离开。然而,自动驾驶车辆缺乏参与手势交流的能力。因此,已经开发了一种先进的车载交通灯系统,以监测并促进自动驾驶车辆与传统汽车驾驶员之间的通信。基于模糊逻辑的系统在一个由八个ESP32微控制器组成的自组织网络上实现并进行了评估,所有微控制器都在相同的程序下运行。每个微控制器连接一个GPS传感器,并且还管理三个发光二极管。使用了ESPNow广播功能。该系统不需要互联网服务,也不需要诸如驾驶云平台之类的大规模或长期存储,从而使其与传统车辆具有向后兼容性。根据车辆在三个交叉路口的顺序和到达方向进行了模拟。结果表明,在四岔路口的自动驾驶车辆现在能够以更低的成本与人类驾驶员进行通信,在30秒内实现精确的位置分类和车道分散。