Latest Articles for Automotive Technology

A new approach to vehicle security addressing rising cyber threats.

EquiDiff model enhances vehicle trajectory prediction for self-driving cars.

A new method personalizes vehicle predictions to improve safety and driver assistance.

New techniques aim to reduce drag and improve fuel efficiency in vehicles.

FastTCM-CR50 boosts scene text detection and spotting with limited data.

A study on using AI to enhance driverless racing in competitions.

New technique improves 3D detection accuracy using a single camera.

A new system combines heart monitoring and scene analysis for safer driving.

A bio-sensor measures blood flow to detect driver drowsiness for safer roads.

New methods improve mmWave communication efficiency and tracking for moving vehicles.

Enhancing driver understanding for safer semi-autonomous driving.

This study explores RL agents in racing using lidar and odometry data.

Adv3D introduces realistic 3D adversarial examples for self-driving car systems.

A new system improves vehicle-to-vehicle communication using radar and machine learning.

A new method improves safety and adaptability for self-driving cars in changing environments.

Examining how autonomous vehicles learn to drive together and compete effectively.

This study reveals how surface roughness changes with repeated contact and its implications.

A new method to enhance CAN bus security using Graph Convolutional Networks.

Exploring improvements in Reinforcement Learning for better autonomous driving.

A novel approach to generate challenging driving scenarios for autonomous vehicles using simulation.

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

Exploring dynamic response systems for enhanced vehicle cybersecurity.

Study on recognizing drivers through their unique driving styles using GPS signals.

A new approach improves car security through efficient intrusion detection systems.

Riblets reduce drag and enhance fluid flow for various industries.

Evaluating OTA testing methods for better performance in automotive wireless applications.

A new method for safely controlling unpredictable systems.

A system monitoring communication traffic to improve vehicle safety and protect against threats.

New model identifies driver distractions to enhance road safety.

Introducing BeTAIL, a new method for improving robot racing through imitation learning.

A study on enhancing radar technology for safer driving.

Simplifying lane detection through innovative sequence generation.

Research shows how feedback can shape self-driving car experiences.

Study reveals how drivers prefer communication while distracted.

A new design enhances vehicle security through advanced intrusion detection systems.

A new model enhances vehicle safety by identifying unseen attack patterns.

A new model improves object detection in poor-quality images across various conditions.

New methods aim to enhance vehicle control in connected and automated platoons.

Certifying neural networks ensures their safety and reliability in critical applications.

A study reveals the impact of driving style on automated vehicle design.