Autonomous driving paper index
Vehicle to Vehicle Communication
One-line summary
An autonomous driving research paper: Vehicle to Vehicle Communication.
Engineering notes
Key topics: autonomous driving, control. See the paper for implementation details and experimental results.
Chinese explanation / 中文解读
中文解读待补充：本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。
Original abstract
With the swift proliferation of smart cities and Intelligent Transport Systems (ITS), Vehicle-to-Vehicle (V2V) communication is crucial to improving road safety, traffic, and autonomous mobility.This project demonstrates a hardware-based low-cost V2V communication prototype with two test vehicles (A and B) each provided with a NodeMCU ESP8266 for wireless data transfer.The system provides real-time data sharing of location, speed, proximity of obstacles, and the conditions of the surrounding environment through sensors such as the DHT11 (temperature/humidity), ultrasonic sensors, and gas sensors.Communication is made possible through the MQTT protocol, which is controlled by an EMQX broker.Every vehicle publishes its sensor readings to MQTT topics and subscribes to others so that real-time, bi-directional updates can be had.Depending on these updates, vehicles adaptively react by braking in front of obstacles or reducing speed in dangerous situations.A Tkinter-based GUI in Python shows sensor readings in real-time and notifies users upon crossing safety limits, providing testing and monitoring convenience.This project proves the feasibility of V2V communication with low-cost components and lays groundwork for future development in the form of GPS integration, automation through AI, and Vehicle-to-Infrastructure (V2I) systems, all supporting improved safety and intelligence in transportation networks.
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