AIMC Topic: Automobiles
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Deep generative models for Bayesian inference on high-rate sensor data: applications in automotive radar and medical imaging.
Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
Jun 19, 2025
Deep generative models (DGMs) have been studied and developed primarily in the context of natural images and computer vision. This has spurred the development of (Bayesian) methods that use these generative models for inverse problems in image restor...
Could vehicles analyze driving risks using human fuzzy semantic logic? A data-knowledge-driven new perspective.
Accident; analysis and prevention
May 6, 2025
Accurate risk identification is crucial for ensuring the safe operation of Host vehicles (HoVs) in environments shared with Neighboring vehicles (NeVs). Traditional risk identification mechanisms typically rely on large amounts of precise numerical d...
Deep reinforcement learning for decision making of autonomous vehicle in non-lane-based traffic environments.
PloS one
Apr 16, 2025
Existing research on decision-making of autonomous vehicles (AVs) has mainly focused on normal road sections, with limited exploration of decision-making in complex traffic environments without lane markings. Taking toll plaza diverging area as an ex...
Electric vehicle braking energy recovery control method integrating fuzzy control and improved firefly algorithm.
PloS one
Mar 28, 2025
Braking energy recovery is crucial for improving the energy efficiency and extending the range of electric vehicles. If a large amount of braking energy is wasted, it will lead to problems such as reduced range and increased battery burden for electr...
Critical scenarios adversarial generation method for intelligent vehicles testing based on hierarchical reinforcement architecture.
Accident; analysis and prevention
Mar 22, 2025
The widespread deployment of intelligent vehicles necessitates comprehensive testing across diverse driving scenarios. A significant challenge is generating critical testing scenarios to accurately evaluate vehicle performance. To overcome the limita...
Acceptance and Usability of a Soft Robotic, Haptic Feedback Seat for Autonomy Level Transitions in Highly Automated Vehicles.
IEEE transactions on haptics
Mar 21, 2025
Fully autonomous vehicles, capable of completing entire end-to-end journeys without the interference of a human driver, will be one of the biggest transforming technologies of the next decades. As the journey towards fully autonomous vehicles progres...
Application and design of a decision-making model in ethical dilemma for self-driving cars.
Scientific reports
Mar 10, 2025
Artificial intelligence (AI) has promoted application and development of self-driving cars. However, when self-driving cars encounter ethical dilemma, it is still hard to make a satisficing and clear decision-making by these present moral rules and m...
An integrated approach for advanced vehicle classification.
PloS one
Feb 18, 2025
This study is dedicated to addressing the trade-off between receptive field size and computational efficiency in low-level vision. Conventional neural networks (CNNs) usually expand the receptive field by adding layers or inflation filtering, which o...
Why do people resist AI-based autonomous cars?: Analyzing the impact of the risk perception paradigm and conditional value on public acceptance of autonomous vehicles.
PloS one
Feb 6, 2025
This study examines the factors that lead to the acceptance of AI-based autonomous vehicles. Despite the considerable importance of AI-based autonomous vehicles there has been a lack of analysis based on theoretical models and analysis that considers...
Active Disturbance Rejection Control for an automotive suspension system based on parameter tuning using a fuzzy technique.
PloS one
Jan 15, 2025
Road surface roughness is the cause of vehicle vibration, which is considered a system disturbance. Previous studies on suspension system control often ignore the influence of disturbances while designing the controller, leading to system performance...
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