Latest Articles for Autonomous Vehicles

A new method enhances safety in reinforcement learning by integrating user-defined confidence levels.

Structure flow offers real-time motion insights for robotics and autonomous vehicles.

A new model enhances accuracy in 3D segmentation using point clouds.

UAD method reduces data needs and enhances efficiency in autonomous driving.

New framework improves detection of known and unknown objects in three-dimensional space.

CMDPs merge reward maximization with safety in AI applications.

An innovative approach to efficient feedback collection in reinforcement learning for safety.

Research evaluates sound design impacts on AV-pedestrian interactions.

A method to derive cost functions by analyzing expert actions in complex environments.

Self-driving cars use rule-based systems for safer road navigation and decision-making.

SeFlow enhances motion estimation for self-driving cars using self-supervised learning.

New approach enhances point cloud mapping by removing dynamic objects.

FALCON cleans hazy images quickly while maintaining quality for various applications.

Discover how new computing methods can reduce energy use in AI systems.

A novel method for efficient decision-making in artificial intelligence using large world models.

New methods enhance LiDAR systems for better performance during challenging weather.

A new grid method improves how self-driving cars handle unknown areas.

A new method boosts detection and tracking in autonomous vehicles using multi-view cameras.

A new method enhances depth estimation using multi-camera images.

New method improves moving object detection in dynamic environments using LiDAR technology.

New metrics and EdgeHead module enhance 3D detection for autonomous vehicles.

A novel point-based method improves scene understanding for autonomous vehicles.

New method enhances object detection in autonomous vehicles through cooperative perception.

A dataset to improve autonomous vehicle performance in various weather conditions.

A new method improves recognition of point cloud data for autonomous vehicles.

Developing a model for accurate image segmentation in diverse driving conditions.

Innovative methods are transforming how systems detect and locate objects in 3D spaces.

VQA-Diff combines techniques to enhance 3D vehicle modeling from real-world images.

Combining Hamilton-Jacobi reachability with reinforcement learning enhances safety in control systems.

A new method improves robot navigation and obstacle avoidance.

RHRSegNet enhances semantic segmentation for night-time images, crucial for autonomous driving.

A new method enhances safety by accurately predicting Time to Collision using event-based cameras.

New routing strategies improve efficiency in transportation networks.

A new approach tackles overconfidence in systems recognizing multiple labels.

This article discusses methods to improve control systems using goal-oriented data compression.

New strategies combine mapping and behavior prediction for self-driving vehicles.

Learn how active inference enhances self-driving car capabilities.

A groundbreaking dataset aims to enhance autonomous trucking technology through extensive, high-quality data.

A new framework improves how AVs make decisions in complex driving environments.

A new method improves 3D object detection using LiDAR and 2D images.