Latest Articles for Traffic Safety

A new framework improves how AVs make decisions in complex driving environments.

A dataset offering insights into pedestrian interactions in traffic scenarios.

Examining how sensor data timing affects autonomous vehicle safety and performance.

A new model predicts traffic accidents by analyzing urban data more effectively.

A new approach improves how vehicles predict pedestrian actions.

A new system enhances predictions of nearby vehicle movements for self-driving cars.

A look at infrastructure-based solutions for better autonomous vehicle perception.

V2INet improves trajectory prediction using multi-view data for autonomous vehicles.

A powerful simulator designed to enhance self-driving car training through rapid scenario generation.

A fresh method enhances pedestrian behavior predictions for vehicle safety.

This article discusses a unified method to assess and improve traffic safety.

A new approach enhances self-driving cars' ability to navigate roundabouts safely.

Analyzing Traffic Sequence Charts for reliable HAV development.

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

A new method for accurate urban scene reconstruction to enhance self-driving safety.

A new system aims to enhance vehicle communication for better traffic management.

Research aims to improve safety at roundabouts by predicting dilemma zones.

Snapshot improves pedestrian trajectory prediction for safer urban traffic.

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

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

A new system enhances traffic light detection for safer autonomous driving.

A study on injury patterns among children under 10 in Cameroon.

A new framework improves motion prediction for self-driving cars, enhancing safety and efficiency.

A new approach to help self-driving cars make safer decisions on the road.

Robot vehicles improve traffic management and reduce waiting times at busy intersections.

Examining how people cross streets to improve safety with autonomous vehicles.

Improving traffic sign detection for safer autonomous vehicles with few-shot learning methods.

Researchers study driving patterns to improve automated vehicle responses.

Study reveals insights on traffic safety through near-crash events in San Antonio.

Research reveals bias against Hispanic drivers during police traffic encounters.

Learn how self-driving cars avoid accidents using Evasive Minimum Risk Maneuvering.

Explore how psychological games shape our choices in everyday life.

A new system aims to reduce red light violations and enhance traffic safety.

A new framework enhances predictions and decisions for autonomous vehicles.

A system that detects distracted driving actions using advanced video analysis.

VADet improves object detection in autonomous vehicles using intelligent frame aggregation.

Exploring how self-driving cars can safely interact with human drivers.

A new framework aims to enhance safety in autonomous vehicles through targeted simulations.

A new model improves predictions for autonomous vehicles in complex traffic.

Self-driving cars face merging challenges on highways. Safety is key.