AIMC Topic: Automobiles

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Improving Misfire Fault Diagnosis with Cascading Architectures via Acoustic Vehicle Characterization.

Sensors (Basel, Switzerland) Oct 12, 2022
In a world dependent on road-based transportation, it is essential to understand automobiles. We propose an acoustic road vehicle characterization system as an integrated approach for using sound captured by mobile devices to enhance transparency and...
Neural Networks, Computer Reproducibility of Results Automobiles Acoustics Data Collection
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Vehicle Driving Risk Prediction Model by Reverse Artificial Intelligence Neural Network.

Computational intelligence and neuroscience Oct 7, 2022
The popularity of private cars has brought great convenience to citizens' travel. However, the number of private cars in society is increasing yearly, and the traffic pressure on the road is also increasing. The number of traffic accidents is increas...
Neural Networks, Computer Artificial Intelligence Automobiles Accidents, Traffic Automobile Driving
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Application and Communication Optimization Technology of Unmanned Distribution Car under Deep Learning in Logistics Express of COVID-19.

Computational intelligence and neuroscience Sep 17, 2022
This work aims to solve the problem that the daily necessities of urban residents cannot be delivered during coronavirus disease 2019 (COVID-19), thereby reducing the possibility of the delivery personnel contracting COVID-19 due to the need to trans...
Humans COVID-19 Technology Deep Learning Automobiles Computer Communication Networks
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Real-Time and Efficient Multi-Scale Traffic Sign Detection Method for Driverless Cars.

Sensors (Basel, Switzerland) Sep 13, 2022
Traffic signs detection and recognition is an essential and challenging task for driverless cars. However, the detection of traffic signs in most scenarios belongs to small target detection, and most existing object detection methods show poor perfor...
Neural Networks, Computer Automobiles Automobile Driving Recognition, Psychology
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Blind-Spot Collision Detection System for Commercial Vehicles Using Multi Deep CNN Architecture.

Sensors (Basel, Switzerland) Aug 15, 2022
Buses and heavy vehicles have more blind spots compared to cars and other road vehicles due to their large sizes. Therefore, accidents caused by these heavy vehicles are more fatal and result in severe injuries to other road users. These possible bli...
Neural Networks, Computer Automobiles Motor Vehicles
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LLDNet: A Lightweight Lane Detection Approach for Autonomous Cars Using Deep Learning.

Sensors (Basel, Switzerland) Jul 26, 2022
Lane detection plays a vital role in making the idea of the autonomous car a reality. Traditional lane detection methods need extensive hand-crafted features and post-processing techniques, which make the models specific feature-oriented, and suscept...
Neural Networks, Computer Deep Learning Image Processing, Computer-Assisted Spectrum Analysis, Raman Automobiles Weather
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Road Surface Anomaly Assessment Using Low-Cost Accelerometers: A Machine Learning Approach.

Sensors (Basel, Switzerland) May 16, 2022
Roads are a strategic asset of a country and are of great importance for the movement of passengers and goods. Increasing traffic volume and load, together with the aging of roads, creates various types of anomalies on the road surface. This work pro...
Machine Learning Automobiles Accelerometry Entropy Fourier Analysis
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Design and Implementation of an ML and IoT Based Adaptive Traffic-Management System for Smart Cities.

Sensors (Basel, Switzerland) Apr 10, 2022
The rapid growth in the number of vehicles has led to traffic congestion, pollution, and delays in logistic transportation in metropolitan areas. IoT has been an emerging innovation, moving the universe towards automated processes and intelligent man...
Machine Learning Cities Automobiles Accidents Transportation
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Prediction of Automobile Wiper Motor Noise Based on Support Vector Machine with Vibration Sensors.

Computational intelligence and neuroscience Mar 31, 2022
Wiper motor noise has an important impact on vehicle comfort. Accurate prediction of wiper motor noise can obtain motor NVH performance in motor manufacturing or earlier stage and provide necessary support for NVH performance design of parts and vehi...
Algorithms Support Vector Machine Automobiles Vibration
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Multitask Learning with Graph Neural Network for Travel Time Estimation.

Computational intelligence and neuroscience Mar 28, 2022
Travel time estimation (TTE) is widely applied for ride dispatching, ride-hailing, and route navigation. Even for a given trajectory, the travel time is affected by many spatial-temporal factors, including static ones such as distance, road type, and...
Neural Networks, Computer Automobiles Travel
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