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Edge based Blind Spot Avoidance and Speed Monitoring for Emergency Vehicles

Publication Type : Conference Paper

Publisher : Elsevier BV

Source : Procedia Computer Science

Url : https://doi.org/10.1016/j.procs.2024.04.030

Keywords : blind-spot detection, proximity detection, sensors, edge computing, WiFi;Emergency vehicle, speed estimation, road networks, Rescue service vehicles

Campus : Mysuru

School : School of Computing

Year : 2024

Abstract : In this paper, the proposed work is to design an emergency vehicle (rescue vehicle) equipped with sensors and an Arduino board as an edge device to gather information on approaching vehicle speed and blind spots. To quickly identify potential dangers, the data is transferred to a fog computing device for real-time processing and analysis. The Arduino is used for blind spot identification and proximity monitoring, and the Node MCU is used for real-time data processing, communication, and remote monitoring. This technology improves safety by averting collisions with nearby objects, pedestrians, and bicycles in emergency situations by immediately alerting the emergency vehicle driver.

Cite this Research Publication : Adwitiya Mukhopadhyay, Apeksha Rao, Pallavi Joshi, Vibha Harish, Edge based Blind Spot Avoidance and Speed Monitoring for Emergency Vehicles, Procedia Computer Science, Elsevier BV, 2024, https://doi.org/10.1016/j.procs.2024.04.030

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