Author:
HOŁUBOWSKI Waldemar,FRANKIEWICZ Ryszard,KUSIŃSKI Sławomir,SIKORA Andrzej,ZIELONKA Adam
Abstract
Cases of heavy traffic congestion (commonly referred to as traffic jams) have negative influences on the economy, public health, and social life. This makes it important to assist drivers in these situations with Internet of Things (IoT) systems. The aim of this article is to present a low-cost device that supports driving in traffic jams. The system, which is based on data from a laser sensor with a range of up to 40 m, controls the distances to vehicles in front of and behind a moving car. Through audio and video signals, it warns the driver whether the vehicle in front of or behind the equipped vehicle is too close. This allows the driver to control the distance and avoid minor collisions.
Publisher
Silesian University of Technology
Subject
Mechanical Engineering,Transportation,Automotive Engineering
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Dual-Encoding Y-ResNet for generating a lens flare effect in images;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30
2. Forestry Economic Forecasting Methods, Models and Computer Support Systems;2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON);2023-12-29
3. Lightweight CNN based on Spatial Features for a Vehicular Damage Detection System;2023 IEEE International Conference on Big Data (BigData);2023-12-15