Latest Articles for Autonomous Vehicles

A look into monitoring techniques for reliable real-time system performance.

Competition showcases efforts for safer driving models in adverse conditions.

Introducing ERF-CondLaneNet for improved lane detection in complex road situations.

New method enhances NAR's ability to find multiple problem solutions.

A new method enhances object detection in real-time applications.

A look at how Digital Twins improve autonomous vehicle operations.

A new system enhances traffic light detection for safer autonomous driving.

Examining factors that influence trust in autonomous vehicles among young adults.

A new method improves traffic scenario generation using natural language inputs.

MAC-VO enhances camera position estimation in challenging environments.

An overview of key control techniques in autonomous vehicle technology.

ScaleFlow++ improves 3D motion estimation using monocular cameras for various applications.

Adapting DINOv2 boosts BEV segmentation for safer self-driving cars.

ExelMap enhances the accuracy of HD map updates for safer autonomous driving.

A look at advancements in decision-making for self-driving vehicles.

New techniques enhance dynamic urban modeling for various applications.

A new framework improves motion prediction for self-driving cars, enhancing safety and efficiency.

Introducing GRIN, a new model for depth estimation using sparse data.

VALO optimizes LiDAR detection for autonomous vehicles, balancing speed and accuracy.

Research explores new methods to secure communication in sensing technologies.

A new approach to help self-driving cars make safer decisions on the road.

RenderWorld uses visual data for safer self-driving technology.

A look into the future of wireless technology and the benefits of new beamforming techniques.

A new system enhances safety predictions for autonomous vehicles in challenging environments.

TrajSSL enhances 3D object detection using fewer labeled data through motion forecasting.

A framework improving vehicle localization using multiple sensor data integration.

A new lightweight method for visual-inertial odometry enhances performance in challenging environments.

A new method improves the safety of autonomous vehicles in risky scenarios.

A new method improves data selection and enrichment for autonomous systems.

A look into how agents interact over time in dynamic games.

New methods improve understanding of AI model predictions.

A study on controlling vertical motion for improved comfort and safety in vehicles.

A new method improves tracking accuracy in fast-moving scenes using event-based technology.

Examining how people cross streets to improve safety with autonomous vehicles.

A new approach combines LiDAR and cameras for better detection accuracy.

A new approach improves control in uncertain environments using Gaussian processes.

An event to improve image segmentation models for safer self-driving cars.

Research highlights a new approach for real-time learning in self-driving cars.

Improving traffic sign detection for safer autonomous vehicles with few-shot learning methods.

A new framework improves camera pose estimation in various environments.