An effective approach of vehicle detection using deep learning
Y Chen, Z Li - Computational Intelligence and Neuroscience, 2022 - Wiley Online Library
With the rise of unmanned driving and intelligent transportation research, great progress has
been made in vehicle detection technology. The purpose of this paper is employing the …
been made in vehicle detection technology. The purpose of this paper is employing the …
Deep learning-based in-cabin monitoring and vehicle safety system using a 4-D imaging radar sensor
In this article, we use a multiple-input–multiple-output (MIMO) radar for in-vehicle passenger
detection. We propose a 2-D convolutional neural network-long short-term memory (CNN …
detection. We propose a 2-D convolutional neural network-long short-term memory (CNN …
Automatic detection of vehicle occupancy and driver's seat belt status using deep learning
S Hosseini, A Fathi - Signal, Image and Video Processing, 2023 - Springer
Increasing the number of personal cars on the transportation routes causes a heavy traffic
load. In many countries, special lines for high occupancy vehicles have been developed to …
load. In many countries, special lines for high occupancy vehicles have been developed to …
Deep learning based methods in image analytics for vehicle detection: A review
PK Vishwakarma, N Jain - 2023 6th International Conference …, 2023 - ieeexplore.ieee.org
The literature review reveals a substantial body of work dedicated to the detection,
categorization, and tracking of vehicles based on deep learning methods. There has been a …
categorization, and tracking of vehicles based on deep learning methods. There has been a …
Single-channel FMCW-radar-based multi-passenger occupancy detection inside vehicle
H Song, HC Shin - Entropy, 2021 - mdpi.com
In this paper, we provide the results of multi-passenger occupancy detection inside a vehicle
obtained using a single-channel frequency-modulated continuous-wave radar. The …
obtained using a single-channel frequency-modulated continuous-wave radar. The …
A deep learning approach for in-vehicle multi-occupant detection and classification using mmwave radar
Due to several benefits including a wide field of view, fine resolution, and low cost, millimeter-
wave (mmWave) radars are of high interest for in-vehicle sensing tasks, including occupant …
wave (mmWave) radars are of high interest for in-vehicle sensing tasks, including occupant …
Explainable Driver Activity Recognition Using Video Transformer in Highly Automated Vehicle
Distracted driving is one of the leading causes of road accidents. With the recent introduction
of advanced driver assistance systems and L2 vehicles, the role of driver attention has …
of advanced driver assistance systems and L2 vehicles, the role of driver attention has …
Non-contact in-vehicle occupant monitoring system based on point clouds from FMCW radar
In order to reduce the probability of automobile safety incidents, the in-vehicle occupant
monitoring is indispensable. However, occupant monitoring using frequency-modulated …
monitoring is indispensable. However, occupant monitoring using frequency-modulated …
PointNet-Transformer Fusion Network for In-Cabin Occupancy Monitoring With mm-Wave Radar
Z Xiao, K Ye, G Cui - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
Due to the irregular distribution of 3-D point clouds and the random movement of the
passengers, it is difficult to accurately and rapidly determine the passenger occupancy …
passengers, it is difficult to accurately and rapidly determine the passenger occupancy …
Novel radar based in-vehicle occupant detection using convolutional neural networks
Vehicle Occupant Detection has gathered attention with the advancement of Connected
Automated Vehicles (CAVs) since it enhances vehicular safety features and contributes to …
Automated Vehicles (CAVs) since it enhances vehicular safety features and contributes to …