A new comparison framework to survey neural networks‐based vehicle detection and classification approaches
S Hashemi, H Emami… - International Journal of …, 2021 - Wiley Online Library
The vehicle detection and classification (VDC) problem has received much attention recently
due to the increased security threats and the need to develop intelligent transportation …
due to the increased security threats and the need to develop intelligent transportation …
Intelligent traffic signal automation based on computer vision techniques using deep learning
Traffic congestion in highly populated urban areas is a huge problem these days. A lot of
researchers have proposed many systems to monitor traffic flow and handle congestion …
researchers have proposed many systems to monitor traffic flow and handle congestion …
A novel ensemble learning approach of deep learning techniques to monitor distracted driver behaviour in real time
Driver distraction causes one of the major problems in road safety and accidents. According
to the World Health Organization (WHO), over 285,000 estimated accidents happened as a …
to the World Health Organization (WHO), over 285,000 estimated accidents happened as a …
Crowd Density Identification at Cross Section using machine learning and deep learning
H Dubey, M Singh, R Raj… - 2023 5th International …, 2023 - ieeexplore.ieee.org
The estimation of crowd density at cross sections is a significant problem in the crowd
analysis. In this study, we provide a novel technique for determining crowd density using …
analysis. In this study, we provide a novel technique for determining crowd density using …
Scene Graph Generation With Structured Aspect of Segmenting the Big Distributed Clusters
Accurate fruit counting is one of the significant phenotypic traits for crucial fruit harvesting
decision making. Existing approaches perform counting through detection or regression …
decision making. Existing approaches perform counting through detection or regression …
Toward a framework and sumo-based simulation for smart traffic control using multiagent learning
RMD Golam, N Fukuta - 2021 10th International Congress on …, 2021 - ieeexplore.ieee.org
In this paper, we propose an approach and its frame-work of our adaptive traffic control
system using reinforcement learning. The proposed approach attempts to determine the best …
system using reinforcement learning. The proposed approach attempts to determine the best …