Latest Articles for Automotive Technology

Anomaly detection enhances vehicle safety by identifying unusual patterns in data.

Researchers aim to improve control strategies using symmetries in various systems.

Leveraging social media to enhance vehicle cybersecurity and mitigate emerging threats.

New methods in reinforcement learning leverage RRAM for improved efficiency and performance.

This article explores how control theory helps manage friction in sliding systems.

Research highlights methods to detect false information in automotive AI.

A new method streamlines the creation of high-definition maps for self-driving technology.

This article discusses new methods for automating SDV software integration and configuration.

New methods enhance the detection of unusual driving events for safer autonomous systems.

ByCAN automates the reverse engineering of CAN messages for improved vehicle communication.

A new IDS enhances vehicle security against growing cyber threats.

Research focuses on making neural network control systems reliable and safe.

How labeling AI affects user acceptance and perception in vehicles.

AutoAugOOD improves novelty detection methods for various data scenarios.

This study examines how vehicles can use AI to improve safety and communication.

New model improves object detection for connected autonomous vehicles.

Study reveals strengths and weaknesses of VLMs in understanding spatial dimensions.

N-DriverMotion dataset improves recognition of driver movements for safer roads.

Research compares techniques to analyze sensor data from vehicles over 2.5 years.

Study finds design influences user trust and comfort in vehicle health monitoring.

How new technology is improving safety in vehicle dashcams.

How generative AI enhances safety and compliance in self-driving vehicles.

A new method improves tracking performance by addressing detection uncertainty.

A new method improves energy use in plug-in hybrid electric vehicles.

New framework enhances machines' ability to understand 3D environments from 2D images.

Discover how liquid dynamics impact automotive design and reliability.

A new system improves accuracy in vehicle digital displays.

Urban environments pose unique challenges for automotive radar system performance and reliability.

A new metric improves depth estimation model evaluation for safer driving.

A look at safety measures for connected automated vehicles on our roads.

A new module enhances segmentation of unknown objects without retraining core models.

A new method enhances car depth perception at night using HD headlights.

This research tests a tool to improve accuracy of traffic-based language models.

New methods aim to enhance safety and comfort in autonomous vehicles.

A look at data privacy issues in Android Automotive OS.

Researchers study driving patterns to improve automated vehicle responses.

Explore how DDP helps manage complex control problems in various fields.

CASPFormer innovates trajectory prediction using bird’s eye view images.

PPLNs enhance event camera data processing for improved machine vision capabilities.

New transformer models enhance evaluation in computer vision tasks.