Latest Articles for Autonomous Vehicles

New framework SurrealDriver improves driver agent simulation for urban environments.

Integrating reinforcement learning and grammar for better camera designs.

A new method improves LiDAR data compression and reconstruction.

ViWS-Net effectively removes various weather conditions from video, improving clarity and quality.

New methods enhance autonomous driving by focusing on skill-based planning.

New method enhances object detection for autonomous vehicles using multi-modal data.

Understanding the challenges and opportunities in edge storage technology.

Research vehicle EDGAR and its digital twin contribute to autonomous driving development.

Researchers analyze how AVs and human drivers manage conflicts at intersections.

A look at integrating Deep Reinforcement Learning in UAV systems for better performance and safety.

Model2Scene uses CAD models and language to improve 3D scene learning.

Discover how photonic technology enhances image segmentation for critical applications.

UNREST improves decision-making in self-driving cars by considering environmental uncertainties.

A new framework improves object detection accuracy in real-world environments.

APNet combines aerial images and point clouds for better urban analysis.

A new system enhances object tracking in dynamic environments for robots and self-driving cars.

New engine improves efficiency in 3D point cloud processing with Sparse Convolution.

Exploring the role of ISAC in advancing communication and sensing technologies.

A new model enhances lane-changing and overtaking of self-driving vehicles.

Discover the benefits of Bayesian Neural Networks in making informed predictions.

A new method enhances the detection of traffic anomalies in driving videos for safety.

SOAP enhances detection of stationary objects using data from different Lidar sensors.

NeRFmentation improves monocular depth estimation using synthetic data for better model training.

A new model enhances how self-driving cars predict pedestrian movements in crowded areas.

New model improves real-time HD map creation using onboard cameras.

A look at methods for detecting pedestrians in low-light environments.

A new system focuses on key objects to enhance vehicle communication and safety.

Examining fairness and accuracy in detecting vulnerable road users by autonomous vehicles.

FISOR enhances safety in offline reinforcement learning through strict constraints and unique learning methods.

A new evaluation method for roadside perception enhances driverless car technology.

Techniques for improving machine learning in dynamic environments.

A new system improves how self-driving cars communicate and cooperate on the road.

LiDAR-PTQ enhances 3D object detection for self-driving cars and robotics.

A look at how sensor simulations boost safety in autonomous driving.

New method helps vehicles predict 3D scenes for better decision-making.

This article explores how two sensor types improve obstacle detection in self-driving cars.

A strategy to enhance performance and fairness in federated learning models.

Introducing GAVA, a model that predicts vehicle motion using human driving behavior insights.

A new method enhances trajectory predictions for autonomous vehicles in complex environments.

A new method identifies motor failures in quadrotors for enhanced safety.