AIMC Topic: Automobile Driving
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CCCNet: Criss-cross attention enhanced cross layer refinement network for lane detection in complex scenarios.
PloS one
Jan 1, 2025
Lane detection plays a crucial role in autonomous driving systems by enabling vehicles to comprehend road structure and ensure safe navigation. However, the current performance of lane line detection models, such as CCNet, exhibits limitations in han...
Enhanced Driver Stress Prediction from Multiple Biosignals via CNN Encoder-Decoder Model.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2024
In this work, we present PhysioFuseNet, a novel framework designed to enhance driver stress state classification. PhysioFuseNet integrates a CNN-based encoder-decoder model with multimodal biosignal fusion. Using a driving simulator, different multim...
Stiffness Adaptation of a Hybrid Soft Surgical Robot for Improved Safety in Interventional Surgery.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2022
Minimally invasive instruments are inserted per-cutaneously and are steered toward the desired anatomy. The low stiffness of instruments is an advantage; however, once the target is reached, the instrument usually is required to transmit force to the...
Partial directed coherence based graph convolutional neural networks for driving fatigue detection.
The Review of scientific instruments
Jul 1, 2020
The mental state of a driver can be accurately and reliably evaluated by detecting the driver's electroencephalogram (EEG) signals. However, traditional machine learning and deep learning methods focus on the single electrode feature analysis and ign...
Artificial Intelligence: Promise, Pitfalls, and Perspective.
JAMA
Jun 23, 2020
Betacoronavirus
Pneumonia, Viral
Radiology
Coronavirus Infections
Data Collection
Automobile Driving
Image Interpretation, Computer-Assisted
Comprehension
Automobiles
Randomized Controlled Trials as Topic
Natural Language Processing
Electronic Health Records
SARS-CoV-2
Deep Learning
Artificial Intelligence
Pandemics
COVID-19
Forecasting
Delivery of Health Care
Autonomous Self-Driving Vehicles.
Annals of emergency medicine
Jun 1, 2019
Self-driving cars and AI-assisted endoscopy: Who should take the responsibility when things go wrong?
Journal of gastroenterology and hepatology
Apr 1, 2019
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