Latest Articles for Autonomous Vehicles

New techniques improve testing safety for self-driving cars.

This research evaluates the use of LLMs for realistic self-driving car scenarios.

A new method separates moving and static elements in city environments.

A new platform enhances safety analysis for self-driving cars against potential threats.

Study proposes a benchmark for controlling autonomous vehicle groups effectively.

A new method improves calibration accuracy for MIMO radar and optical sensors in close ranges.

New framework improves pedestrian intention prediction for self-driving cars.

A new approach combines game theory and motion planning for better racing strategies.

New methods using GPUs enhance linear solvers for better decision-making.

Exploring decision-making and explainability in self-driving cars.

Understanding self-driving cars is key to trust and safety.

BriSe AI focuses on machine self-awareness for better interactions.

A new method improves 3D modeling efficiency using federated learning.

New techniques enable flexible segmentation of Lidar data without extensive labeling.

A new model improves depth estimation by combining predictions and multi-frame analysis.

DepthFM improves speed and accuracy in depth estimation using flow matching techniques.

Federated learning enhances cooperation between autonomous vehicles in challenging weather.

Reinforcement learning improves testing methods for autonomous driving safety.

Exploring the potential of monostatic ISAC systems in modern communication.

New method enhances pedestrian detection using RGB and thermal images.

A new model improving 3D data analysis for autonomous systems.

This work presents a framework for enhancing safety in autonomous vehicle navigation.

Researchers use NeRFs to improve self-driving systems through simulated environments.

Research aims to improve machine interpretation of 3D environments for safety.

A new method boosts LiDAR systems to enhance safety in self-driving cars.

DriveCoT improves self-driving car decision-making clarity and safety.

A framework for machines to learn user preferences from visual data.

This study examines simulation's role in developing control policies for autonomous robots.

MAVOS introduces an efficient method for tracking objects in long video clips.

New method improves predictions for moving objects in autonomous driving.

AIDE streamlines data management for enhanced safety in self-driving vehicles.

A new method improves object detection in diverse environments using LiDAR data.

A new approach improves camera and radar systems for better object detection.

This paper presents a formal method for testing traffic disturbances in autonomous vehicles.

A new method improves self-driving car training through human-like interaction.

Enhancing the detection of large objects in autonomous vehicle environments.

A new method to enhance trajectory prediction across varying observation lengths.

UniV2X enhances autonomous driving through vehicle-infrastructure collaboration.

A method to enhance 3D object detection using LiDAR data.

New approach enhances sidewalk detection for autonomous vehicles.