Artificial intelligence-based vehicular traffic flow prediction methods for supporting intelligent transportation systems
A Boukerche, Y Tao, P Sun - Computer networks, 2020 - Elsevier
In recent years, the Intelligent transportations system (ITS) has received considerable
attention, due to higher demands for road safety and efficiency in highly interconnected road …
attention, due to higher demands for road safety and efficiency in highly interconnected road …
An improved deep network-based scene classification method for self-driving cars
J Ni, K Shen, Y Chen, W Cao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
A self-driving car is a hot research topic in the field of the intelligent transportation system,
which can greatly alleviate traffic jams and improve travel efficiency. Scene classification is …
which can greatly alleviate traffic jams and improve travel efficiency. Scene classification is …
Vision-based autonomous vehicle recognition: A new challenge for deep learning-based systems
A Boukerche, X Ma - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
Vision-based Automated Vehicle Recognition (VAVR) has attracted considerable attention
recently. Particularly given the reliance on emerging deep learning methods, which have …
recently. Particularly given the reliance on emerging deep learning methods, which have …
Radar sensor signal acquisition and multidimensional FFT processing for surveillance applications in transport systems
S Saponara, B Neri - IEEE Transactions on Instrumentation and …, 2017 - ieeexplore.ieee.org
The design and test of a radio detection and ranging (Radar) sensor signal acquisition and
processing platform is presented in this paper. The Radar sensor operates in real time and …
processing platform is presented in this paper. The Radar sensor operates in real time and …
Road traffic density estimation and congestion detection with a hybrid observer-based strategy
Reliable detection of traffic congestion provides pertinent information for improving safety
and comfort by alerting the driver to crowded roads or providing useful information for rapid …
and comfort by alerting the driver to crowded roads or providing useful information for rapid …
A procedure for the characterization and comparison of 3-D LiDAR systems
LiDARs are becoming one of the pillars for the environmental sensing required by advanced
driver assistance system (ADAS). Driven by the automotive industry, many new …
driver assistance system (ADAS). Driven by the automotive industry, many new …
Integrating model-based observer and Kullback–Leibler metric for estimating and detecting road traffic congestion
Efficient detection of traffic congestion plays an important role in the development of
intelligent transportation systems by providing useful information for rapid decision making …
intelligent transportation systems by providing useful information for rapid decision making …
MDFOaNet: A Novel Multi-Modal Pedestrian Detection Network Based on Multi-Scale Image Dynamic Feature Optimization and Attention Mapping
S Hao, J Li, X Sun, X Ma, B An… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
To address the problem of traditional pedestrian detection methods being subject to random
interference from the external environment and insufficient utilization of pedestrian feature …
interference from the external environment and insufficient utilization of pedestrian feature …
Binary residual feature pyramid network: An improved feature fusion module based on double‐channel residual pyramid structure for autonomous detection algorithm
T Luo, H Wang, Y Cai, L Chen… - IET Intelligent Transport …, 2023 - Wiley Online Library
The vehicle detection algorithm based on visual perception has been applied in all types of
automatic driving scenes. However, there are still flaws in the current detection algorithm …
automatic driving scenes. However, there are still flaws in the current detection algorithm …
Design of a semi-supervised learning strategy based on convolutional neural network for vehicle maneuver classification
A Mammeri, Y Zhao, A Boukerche… - … on Wireless for …, 2019 - ieeexplore.ieee.org
Among state-of-the-art vehicle maneuver classification algorithms, Hidden Markov Models
are commonly applied for predicting maneuver probability. To generate a model, a sufficient …
are commonly applied for predicting maneuver probability. To generate a model, a sufficient …