AIMC Topic: Motor Vehicles

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Extended DEMATEL method with intuitionistic fuzzy information: A case of electric vehicles.

PloS one Dec 19, 2024
The Decision-Making Trial and Laboratory (DEMATEL) methodology excels in the analysis of interdependent factors within complex systems, with correlation data typically presented in crisp values. Nevertheless, the judgments made by decision-makers oft...
Electricity Fuzzy Logic Electric Power Supplies Intuition Decision Making Motor Vehicles Humans Algorithms
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Hearing loss prediction equation for Iranian truck drivers using neural network algorithm.

Work (Reading, Mass.) Nov 25, 2024
BACKGROUND:  Given the high prevalence of hearing loss among truck drivers, using artificial neural networks (ANNs) to predict and detect contributing factors early can aid managers significantly.
Occupational Exposure Iran Middle Aged Prevalence Occupational Diseases Motor Vehicles Hearing Loss, Noise-Induced Automobile Driving Hearing Loss Noise, Occupational Humans Truck Drivers Neural Networks, Computer Adult Male Algorithms
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Risk of crashes among self-employed truck drivers: Prevalence evaluation using fatigue data and machine learning prediction models.

Journal of safety research Nov 16, 2024
INTRODUCTION: Transportation companies have increasingly shifted their workforce from permanent to outsourced roles, a trend that has consequences for self-employed truck drivers. This transition leads to extended working hours, resulting in fatigue ...
Female Prevalence Risk Factors Humans Adult Machine Learning Surveys and Questionnaires Young Adult Male Middle Aged Fatigue Brazil Motor Vehicles Accidents, Traffic Truck Drivers Automobile Driving
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Application of an ensemble CatBoost model over complex dataset for vehicle classification.

PloS one Jun 12, 2024
The classification of vehicles presents notable challenges within the domain of image processing. Traditional models suffer from inefficiency, prolonged training times for datasets, intricate feature extraction, and variable assignment complexities f...
Image Processing, Computer-Assisted Motor Vehicles Machine Learning Algorithms Neural Networks, Computer
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Heterogeneous context interaction network for vehicle re-identification.

Neural networks : the official journal of the International Neural Network Society Oct 26, 2023
Capturing global and subtle discriminative information using attention mechanisms is essential to address the challenge of inter-class high similarity for vehicle re-identification (Re-ID) task. Mixing self-information of nodes or modeling context ba...
Machine Learning Motor Vehicles Neural Networks, Computer
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Hardware-Efficient Scheme for Trailer Robot Parking by Truck Robot in an Indoor Environment with Rendezvous.

Sensors (Basel, Switzerland) May 26, 2023
Autonomous grounded vehicle-based social assistance/service robot parking in an indoor environment is an exciting challenge in urban cities. There are few efficient methods for parking multi-robot/agent teams in an unknown indoor environment. The pri...
Robotics Motor Vehicles Computers Cities Algorithms
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Deep learning method for risk identification of autonomous bus operation considering image data augmentation strategies.

Traffic injury prevention Feb 14, 2023
OBJECTIVE: The autonomous bus is a key application scenario for autonomous driving technology. Identifying the risk of autonomous bus operation is of great significant to improve road traffic safety and promote the large-scale application of autonomo...
Motor Vehicles Deep Learning China Accidents, Traffic Humans Neural Networks, Computer
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A Study on Object Detection Performance of YOLOv4 for Autonomous Driving of Tram.

Sensors (Basel, Switzerland) Nov 21, 2022
Recently, autonomous driving technology has been in the spotlight. However, autonomous driving is still in its infancy in the railway industry. In the case of railways, there are fewer control elements than autonomous driving of cars due to the chara...
Motor Vehicles Artificial Intelligence Automobiles Automobile Driving Visual Perception
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VReID: Vision-Outlooker-Based Vehicle Re-Identification.

Sensors (Basel, Switzerland) Nov 9, 2022
With the increase of large camera networks around us, it is becoming more difficult to manually identify vehicles. Computer vision enables us to automate this task. More specifically, vehicle re-identification (ReID) aims to identify cars in a camera...
Artificial Intelligence Motor Vehicles Humans
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Auditory Speech Based Alerting System for Detecting Dummy Number Plate via Video Processing Data sets.

Computational intelligence and neuroscience Sep 2, 2022
Spectrum of applications in computer vision use object detection algorithms driven by the power of AI and ML algorithms. State of art detection models like faster Region based convolutional Neural Network (RCNN), Single Shot Multibox Detector (SSD), ...
Speech Neural Networks, Computer Motor Vehicles Algorithms
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