A Survey of Generative AI for Intelligent Transportation Systems
Intelligent transportation systems play a crucial role in modern traffic management and
optimization, greatly improving traffic efficiency and safety. With the rapid development of …
optimization, greatly improving traffic efficiency and safety. With the rapid development of …
[HTML][HTML] Digitizing and inventorying traffic control infrastructures: A review of practices
Transportation planning, management, and operation rely heavily on effective road asset
management. As a crucial component of road assets, traffic control infrastructures (TCIs) …
management. As a crucial component of road assets, traffic control infrastructures (TCIs) …
[HTML][HTML] Low-cost mobile mapping system solution for traffic sign segmentation using Azure Kinect
The mobile mapping system (MMS) could become the foundation of digital twins and 3D
modeling, and is widely applicable in a variety of fields, such as infrastructure management …
modeling, and is widely applicable in a variety of fields, such as infrastructure management …
Pyramid transformer for traffic sign detection
ON Manzari, A Boudesh… - 2022 12th International …, 2022 - ieeexplore.ieee.org
Automatic detection and classification of traffic signs have become an essential asset in the
visual system of autonomous vehicles and self-driving cars. Recently, vision transformers …
visual system of autonomous vehicles and self-driving cars. Recently, vision transformers …
Traffic sign detection using deep learning techniques in autonomous vehicles
Autonomous vehicle is an emerging topic for both researchers and the automobile industry
as companies are still struggling to make fully functional autonomous vehicles. Driving a …
as companies are still struggling to make fully functional autonomous vehicles. Driving a …
Analysis of Traffic Sign Recognition for Automated Transportation Systems Using Neural Networks
A Baruah, R Kumar, M Gupta - 2023 IEEE 8th International …, 2023 - ieeexplore.ieee.org
Recently, numerous applications of Intelligent Transportation Systems (ITS) have gained
increasingly more focus. One of the most crucial functions of ITS is Traffic Signs Detection …
increasingly more focus. One of the most crucial functions of ITS is Traffic Signs Detection …
CNN based approach for traffic sign recognition system
Abstract Machine Learning (ML) involves making a machine able to learn and take
decisions on real-life problems by working with an efficient set of algorithms. The generated …
decisions on real-life problems by working with an efficient set of algorithms. The generated …
A Robust Intelligent System for Text-Based Traffic Signs Detection and Recognition in Challenging Weather Conditions
Traffic signs have great importance regarding smooth traffic flow and safe driving. However,
due to many distractions and capricious factors, spotting and perceiving them may become …
due to many distractions and capricious factors, spotting and perceiving them may become …
Exploring Explainable Artificial Intelligence Techniques for Interpretable Neural Networks in Traffic Sign Recognition Systems
Traffic Sign Recognition (TSR) plays a vital role in intelligent transportation systems (ITS) to
improve road safety and optimize traffic management. While existing TSR models perform …
improve road safety and optimize traffic management. While existing TSR models perform …
Machine learning-based cognitive load prediction model for AR-HUD to improve OSH of professional drivers
J Teng, F Wan, Y Kong, JK Kim - Frontiers in Public Health, 2023 - frontiersin.org
Motivation Augmented reality head-up display (AR-HUD) interface design takes on critical
significance in enhancing driving safety and user experience among professional drivers …
significance in enhancing driving safety and user experience among professional drivers …