Latest Articles for Autonomous Vehicles

New methods enhance safety for complex systems like robots and autonomous vehicles.

Researchers use B-splines to create smoother, safer paths for autonomous racing.

A new method allows autonomous vehicles to be controlled without real-world data.

Exploring safety measures to tackle overconfidence in autonomous vehicle AI systems.

A new method enhances map creation for self-driving cars.

A new approach enhances self-driving race car performance using real-time learning.

A new approach helps machines learn and interpret visual concepts effectively.

A new approach to image segmentation enhances object recognition across various sectors.

RAG-Driver enhances trust in self-driving cars through clearer decision explanations.

A new method improves confidence estimates in ambiguous data.

A new method improves decision-making in autonomous driving for better traffic management.

A new method improves the safety testing of self-driving vehicles in real-world conditions.

A new method improves 3D scene inference despite environmental challenges.

Research focuses on smooth safety filters for improved autonomous vehicle performance.

Research reveals how gestures can enhance safety for pedestrians and self-driving cars.

Discover how IRS improves ultra-reliable low-latency communication in various applications.

Advancements in wireless technology through flexible signal control.

New model helps self-driving cars merge safely into busy traffic.

Introducing ICP-Flow for efficient scene flow estimation in autonomous vehicles.

A look into the F1TENTH platform and its impact on autonomous racing research.

Introducing RS-DisRL for better decision-making in uncertain environments.

Exploring model-free control techniques under limited communication channels.

New methods enhance reliability of AI predictions, particularly in critical fields.

Improving the ability of AVs to predict driver behavior enhances safety.

This article explores the TUMTraf-V2X dataset and its impact on self-driving car safety.

New framework improves object recognition in complex environments for autonomous vehicles.

World models aid self-driving cars in predicting road events for safety.

This article reviews the development and benefits of DFRC systems.

A new method aims to improve safety in mobile robots by addressing uncertainties.

Examining how pedestrians respond to automated vehicles in shared environments.

A new method enhances how robots predict human behavior and improve safety.

AI models improve understanding of driving scenes for safer navigation.

Examining the role of eHMIs in enhancing safety for pedestrians and AVs.

Introducing a new model for better predicting vehicle movements in traffic.

A new method improves coordination of unmanned underwater vehicles in dynamic currents.

LeOCLR enhances contrastive learning using original images for better understanding.

This article covers the development of smart systems for autonomous trucks.

This study explores how projections can improve pedestrian safety around autonomous vehicles.

SynPF algorithm shows promise for reliable vehicle localization in challenging racing conditions.

New techniques improve testing safety for self-driving cars.