Latest Articles for Autonomous Vehicles

UniTraj addresses the challenges of multi-agent trajectory modeling with a unified approach.

Simulations play a vital role in assessing the safety of autonomous vehicles.

A look into contract-based design for hybrid systems and their complexities.

WeiPer improves out-of-distribution detection in machine learning models using weight adjustments.

Researchers develop methods for better training data in 4D radar systems.

A new driving world model tackles challenges in autonomous driving technology.

Innovative approach to creating clear street views from in-car video footage.

Exploring how inter-concept relationships can enhance AI system transparency.

A new algorithm improves learning in constrained environments using posterior sampling.

A new approach to enhance 3D detection accuracy in changing environments.

A novel method for agents to optimize performance while ensuring constraints are met.

Research reveals biases in object detection systems affecting safety in autonomous vehicles.

This study explores new methods for detecting pedestrians in harsh weather.

A new method enhances data sharing among autonomous vehicles for better traffic safety.

New processing methods improve QIS for real-time imaging.

A framework to measure and improve uncertainty in image generation models.

Semantic Communication aims to improve data handling and efficiency in future networks.

A new method enhances unmanned ground vehicle navigation through simulation and learning.

Exploring how agents can adapt learned skills to new tasks using policy generators.

Exploring integrated sensing and communication for enhanced wireless technology in various applications.

A new framework improves visual reprogramming accuracy using tailored masks for images.

Improving safety for machine learning models with advanced shielding techniques.

New advances in video generation offer exciting possibilities for realism and control.

New method improves 3D mapping efficiency for robots and self-driving cars.

Event cameras transform data collection for real-time applications.

Study reveals how visual representations affect trust in autonomous vehicle interfaces.

hGCA automates realistic 3D scene creation using sparse LiDAR data.

SimGen improves self-driving car training with realistic synthetic data.

A new method improves 3D detection using image and LiDAR data.

A new method to improve safety tests for autonomous vehicles through generated scenarios.

Effective eHMIs enhance safety and interaction in urban spaces.

A new method enhances 3D object detection systems for varied environments.

A new framework enhances 3D scene representation using limited 2D images.

New approaches improve the resilience of RL controllers in uncertain environments.

A new method improves 3D object detection using LiDAR data.

This study evaluates how HD map methods perform under adverse conditions.

A large-scale dataset enhances vehicle-to-vehicle communication research.

A new control method improves drone teamwork and efficiency.

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.