A review of vision-based traffic semantic understanding in ITSs

J Chen, Q Wang, HH Cheng, W Peng… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
A semantic understanding of road traffic can help people understand road traffic flow
situations and emergencies more accurately and provide a more accurate basis for anomaly …

[HTML][HTML] Vision-based investigation of road traffic and violations at urban roundabout in India using UAV video: a case study

YM Bhavsar, MS Zaveri, MS Raval, SB Zaveri - Transportation Engineering, 2023 - Elsevier
In the past decade, the number of vehicles in India has increased exponentially; however,
road infrastructure has not scaled proportionately. As a result, road traffic problems such as …

A Comparative Study on Satellite Image Analysis for Road Traffic Detection using YOLOv3-SPP, Keras RetinaNet and Full Convolutional Network

M Guillermo, K Francisco, R Concepcion… - … on Business and …, 2023 - ieeexplore.ieee.org
Satellite imagery has wide ranging applications that enable different fields including
transportation. The authors would like to leverage this technology in terms of collecting traffic …

Efficient implementation of a self-sufficient solar-powered real-time deep learning-based system

SL Jurj, R Rotar, F Opritoiu, M Vladutiu - Proceedings of the 21st EANN …, 2020 - Springer
This paper presents a self-sufficient solar-powered real-time Deep Learning (DL) based
system that runs inference 100% on solar energy and which is composed of an Nvidia …

Motorcycle Apprehension using Deep Learning and K-Nearest Neighbor Algorithm

MRT Garcia, AA Bandala… - 2021 6th International …, 2021 - ieeexplore.ieee.org
Road violations that lead to accidents and deaths are increasing significantly. There are
about 1.35 million people who die every year because of road accidents, and more than half …

Powering and evaluating deep learning-based systems using green energy

SL Jurj - 2020 - dspace.upt.ro
In recent years, advancements in the field of Artificial Intelligence, especially regarding Deep
Learning algorithms, grew at a rapid pace and will continue this trend for the years to come …

Integrated Traffic Violation Type Detection and Recognition System Using Video Processing Based Convolutional Neural Network

I Fazri, I Candradewi - INTEGRATED TRAFFIC VIOLATION TYPE …, 2023 - ir.lib.ugm.ac.id
Based on data from the World Health Organization in 2018, the number of deaths worldwide
due to road traffic accidents is 1.35 million people every year. One of the causes is the low …

Red light and wrong parking violation detection system based on deep learning

HH Hưng, NV Phú, N Tường - Tạp chí Khoa học và Công nghệ-Đại học Đà …, 2020 - jst-ud.vn
Tóm tắt Công cụ phát hiện lỗi vi phạm giao thông được xây dựng có thể tự động phát hiện
các lỗi vi phạm như: Vượt đèn đỏ, đi sai làn hay là dừng đỗ xe. Công cụ cũng áp dụng …