Latest Articles for Autonomous Vehicles

Examining how machine learning adapts to moving targets in real-time situations.

This study compares different YOLOv5 models in identifying various vehicle types under various conditions.

A new method detects unexpected obstacles without extensive training for safer autonomous driving.

Investigating backdoor attacks and their risks to object detection systems.

This work focuses on explaining decision-making in AI using Monte Carlo Tree Search.

A look into the latest developments in image segmentation and its applications.

Event cameras capture changes in scenes, revolutionizing how we interpret visual data.

Entity-Superpixel Annotation reduces costs and improves image labeling efficiency.

New technologies are improving the efficiency of near-infrared light detectors.

Exploring the role of SLAM and RL in improving robot navigation.

A novel approach enhances object detection in 3D point clouds for self-driving cars.

New model NightFormer enhances night-time image processing for safer navigation.

This study examines how passenger brain activity can improve safety in automated vehicles.

A new method enhances state estimation accuracy for high-speed racing cars.

Intel's Loihi-2 chip enhances sensor fusion with speed and efficiency.

A new method enhances speed accuracy for self-driving race cars.

A new method improves street-view image localization using sequential data.

Denial of Service attacks pose risks to autonomous vehicle safety and performance.

New methods improve clarity and accuracy of 3D point clouds.

Clear AI explanations build trust and ensure responsible use in various fields.

Enhancing perception models for self-driving cars using innovative image training methods.

A novel approach improves drifting safety for self-driving cars using physics.

Research highlights methods to enhance machine learning in autonomous vehicles using video data.

A framework enhances AUV performance through USV partnerships for underwater data collection.

Discussing the benefits of sharing AV testing data for public safety.

This article discusses the impact of DoS attacks on vehicle platoons.

Combining security and reliability to improve autonomous vehicle image processing systems.

A new method for accurate depth estimation from video sequences.

A new method improves image clarity for autonomous vehicles in bad weather.

Snapshot improves pedestrian trajectory prediction for safer urban traffic.

New method improves crowd localization using multiple camera views.

Combining Behavioral Cloning and PPO enhances trajectory planning for self-driving cars.

Plane2Depth improves depth estimation in complex scenes, addressing challenges of low texture.

Examining key issues in the safety and security of autonomous vehicles.

GNMap enhances the generation of HD maps for autonomous vehicle navigation.

Combining radar and camera data enhances self-driving technology performance.

New method improves point cloud quality with weighted loss functions.

A study on enhancing pedestrian safety through behavior prediction models.

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

Competition showcases efforts for safer driving models in adverse conditions.