AIMC Topic: Autonomous Vehicles

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Spatiotemporal multi-feature fusion vehicle trajectory anomaly detection for intelligent transportation: An improved method combining autoencoders and dynamic Bayesian networks.

Accident; analysis and prevention Jan 3, 2025
With the continuous development of intelligent transportation systems, traffic safety has become a major societal concern, and vehicle trajectory anomaly detection technology has emerged as a crucial method to ensure safety. However, current technolo...
Time Factors Models, Statistical China Autoencoder Autonomous Vehicles Bayes Theorem Accidents, Traffic
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Robots at your doorstep: acceptance of near-future technologies for automated parcel delivery.

Scientific reports Oct 29, 2023
The logistics and delivery industry is undergoing a technology-driven transformation, with robotics, drones, and autonomous vehicles expected to play a key role in meeting the growing challenges of last-mile delivery. To understand the public accepta...
Humans Autonomous Vehicles Technology Robotics Automation
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Neuromorphic Sentiment Analysis Using Spiking Neural Networks.

Sensors (Basel, Switzerland) Sep 6, 2023
Over the past decade, the artificial neural networks domain has seen a considerable embracement of deep neural networks among many applications. However, deep neural networks are typically computationally complex and consume high power, hindering the...
Neural Networks, Computer Databases, Factual Humans Autonomous Vehicles Sentiment Analysis Brain
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Exploring the artificial intelligence "Trust paradox": Evidence from a survey experiment in the United States.

PloS one Jul 18, 2023
Advances in Artificial Intelligence (AI) are poised to transform society, national defense, and the economy by increasing efficiency, precision, and safety. Yet, widespread adoption within society depends on public trust and willingness to use AI-ena...
United States Artificial Intelligence Autonomous Vehicles Fear Trust Humans Mediation Analysis
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Analysis of Friction Noise Mechanism in Lead Screw System of Autonomous Vehicle Seats and Dynamic Instability Prediction Based on Deep Neural Network.

Sensors (Basel, Switzerland) Jul 5, 2023
This study investigated the squeal mechanism induced by friction in a lead screw system. The dynamic instability in the friction noise model of the lead screw was derived through a complex eigenvalue analysis via a finite element model. A two degree ...
Finite Element Analysis Friction Neural Networks, Computer Bone Screws Autonomous Vehicles
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Data generation for connected and automated vehicle tests using deep learning models.

Accident; analysis and prevention Jun 26, 2023
For the simulation-based test and evaluation of connected and automated vehicles (CAVs), the trajectory of the background vehicle has a direct effect on the performance of CAVs and experiment outcomes. The collected real trajectory data are limited b...
Computer Simulation Deep Learning Accidents, Traffic Autonomous Vehicles Humans
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Robust Detection, Segmentation, and Metrology of High Bandwidth Memory 3D Scans Using an Improved Semi-Supervised Deep Learning Approach.

Sensors (Basel, Switzerland) Jun 9, 2023
Recent advancements in 3D deep learning have led to significant progress in improving accuracy and reducing processing time, with applications spanning various domains such as medical imaging, robotics, and autonomous vehicle navigation for identifyi...
Autonomous Vehicles Radionuclide Imaging Deep Learning Image Processing, Computer-Assisted Robotics Supervised Machine Learning
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An object detection algorithm combining self-attention and YOLOv4 in traffic scene.

PloS one May 18, 2023
Automobile intelligence is the trend for modern automobiles, of which environment perception is the key technology of intelligent automobile research. For autonomous vehicles, the detection of object information, such as vehicles and pedestrians in t...
Neural Networks, Computer Autonomous Vehicles Algorithms Humans Automobiles Dendritic Spines
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Dense reinforcement learning for safety validation of autonomous vehicles.

Nature Mar 22, 2023
One critical bottleneck that impedes the development and deployment of autonomous vehicles is the prohibitively high economic and time costs required to validate their safety in a naturalistic driving environment, owing to the rarity of safety-critic...
Reproducibility of Results Automation Safety Humans Deep Learning Automobile Driving Autonomous Vehicles
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Autonomous Driving Control Based on the Technique of Semantic Segmentation.

Sensors (Basel, Switzerland) Jan 12, 2023
Advanced Driver Assistance Systems (ADAS) are only applied to relatively simple scenarios, such as highways. If there is an emergency while driving, the driver should take control of the car to deal properly with the situation at any time. Obviously,...
Autonomous Vehicles Automobile Driving Artificial Intelligence Semantics Learning
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