Low-power drone-mountable real-time artificial intelligence framework for road asset classification

S Mohan, O Shoghli, A Burde… - Transportation Research …, 2021 - journals.sagepub.com
With the continuous increase in interstate highway traffic and demand for higher safety
standards, there is a growing need for rapidly scalable road inspection. Currently, inspection …

[PDF][PDF] Fast and accurate deep learning architecture on vehicle type recognition

N Boonsirisumpun, O Surinta - Current Applied Science and …, 2022 - researchgate.net
Abstract Vehicle Type Recognition has a significant problem that happens when people
need to search for vehicle data from a video surveillance system at a time when a license …

Robust traffic signs classification using deep convolutional neural network

A Kherraki, M Maqbool… - … Conference on Intelligent …, 2022 - ieeexplore.ieee.org
Smart traffic management systems have recently piqued the interest of scientists and
researchers due to the enormous growth in the number of vehicles. In fact, Intelligent …

Road feature detection for advance driver assistance system using deep learning

H Nadeem, K Javed, Z Nadeem, MJ Khan, S Rubab… - Sensors, 2023 - mdpi.com
Hundreds of people are injured or killed in road accidents. These accidents are caused by
several intrinsic and extrinsic factors, including the attentiveness of the driver towards the …

Car-Following-Response-Based Vehicle Classification via Deep Learning

T Li, R Stern - Journal on Autonomous Transportation Systems, 2024 - dl.acm.org
The driving characteristics of individual vehicles in the flow have been shown to influence
the aggregate traffic flow characteristics. This is true both for individual human drivers as …

Vehicle-type recognition method for images based on improved faster R-CNN model

T Bai, J Luo, S Zhou, Y Lu, Y Wang - Sensors, 2024 - mdpi.com
The rapid increase in the number of vehicles has led to increasing traffic congestion, traffic
accidents, and motor vehicle crime rates. The management of various parking lots has also …

LVLane: deep learning for lane detection and classification in challenging conditions

Z Rahman, BT Morris - 2023 IEEE 26th International …, 2023 - ieeexplore.ieee.org
Lane detection plays a pivotal role in the field of autonomous vehicles and advanced driving
assistant systems (ADAS). Despite advances from image processing to deep learning-based …

Road surface state recognition based on semantic segmentation

Z Wang, S Wang, L Yan, Y Yuan - Journal of Highway and …, 2021 - ascelibrary.org
In extreme bad weather conditions, vehicles can promptly adjust the speed and distance
according to the road information, which can effectively reduce the occurrence of traffic …

A Vehicle Classification System for Intelligent Transport System using Machine Learning in Constrained Environment

AS Alghamdi, T Imran, KT Mursi, A Ejaz… - International …, 2023 - search.proquest.com
Vehicle type classification has an extensive variety of applications which include intelligent
parking systems, traffic flow-statistics, toll collecting system, vehicle access control …

Convolutional Neural Networks for traffic signs recognition

B Bousarhane, D Bouzidi - International Conference on Advanced …, 2019 - Springer
The application fields of traffic signs recognition are multiple, including autonomous
vehicles, self-driving cars, Advanced Driver Assistance Systems (ADAS), etc. The ultimate …