A real-time traffic sign recognition method using a new attention-based deep convolutional neural network for smart vehicles
Artificial Intelligence (AI) in the automotive industry allows car manufacturers to produce
intelligent and autonomous vehicles through the integration of AI-powered Advanced Driver …
intelligent and autonomous vehicles through the integration of AI-powered Advanced Driver …
An effective automatic traffic sign classification and recognition deep convolutional networks
J Mishra, S Goyal - Multimedia Tools and Applications, 2022 - Springer
Automatic traffic sign recognition is essential for autonomous driving, assisted driving, and
driver safety. Convolutional neural networks (CNNs) are the most widely used deep learning …
driver safety. Convolutional neural networks (CNNs) are the most widely used deep learning …
Real-Time Object Detection and Tracking Based on Embedded Edge Devices for Local Dynamic Map Generation
This paper proposes a camera system designed for local dynamic map (LDM) generation,
capable of simultaneously performing object detection, tracking, and 3D position estimation …
capable of simultaneously performing object detection, tracking, and 3D position estimation …
Complex Background Reconstruction for Novelty Detection
K Zhao, M Su, R An, H He, Z Wang - Applied Sciences, 2023 - mdpi.com
Novelty detection aims to detect samples from classes different from the training samples (ie,
the normal class). Existing approaches predominantly make the target reconstruction better …
the normal class). Existing approaches predominantly make the target reconstruction better …
[PDF][PDF] A New Speed Limit Recognition Methodology Based on Ensemble Learning: Hardware Validation.
ABSTRACT Advanced Driver Assistance Systems (ADAS) technologies can assist drivers or
be part of automatic driving systems to support the driving process and improve the level of …
be part of automatic driving systems to support the driving process and improve the level of …
[PDF][PDF] Combined CNN-LSTM Deep Learning Algorithms for Recognizing Human Physical Activities in Large and Distributed Manners: A Recommendation System
A Ellouze, N Kadri, A Alaerjan… - Computers, Materials & …, 2024 - researchgate.net
Recognizing human activity (HAR) from data in a smartphone sensor plays an important role
in the field of health to prevent chronic diseases. Daily and weekly physical activities are …
in the field of health to prevent chronic diseases. Daily and weekly physical activities are …
[PDF][PDF] New Speed Limit Recognition System: Software and Hardware Validation.
Recent advancements in intelligent driving have led to the integration of various automated
systems into vehicles, including Speed Limit Recognition systems, which play a crucial role …
systems into vehicles, including Speed Limit Recognition systems, which play a crucial role …
Effective Street View Traffic Sign Detection and Recognition Using Deep Learning
T Thilagam, S Gunanandhini… - … on Innovations in Data …, 2023 - Springer
In a perfect world, traffic sign detection is highly accurate, but when used with autonomous
cars, the accuracy of the detection is decreased by the complicated traffic situations. This …
cars, the accuracy of the detection is decreased by the complicated traffic situations. This …