Abstract: Potholes have become a major threat to road safety in recent times, accidents and fatalities have been associated with them in large numbers, especially when drivers are unable to notice the ...

This project is an AI-based system designed to detect potholes and road surface defects using a deep learning model and geo-tag their locations using GPS data. A trained YOLOv8 object detection model ...

Beyond the Skyline is a podcast and video interview about economic development, real estate and construction in Minnesota.

Abstract: One major cause of vehicle damage, traffic disruption and accidents are road degradation through potholes. Traditionally, detecting and repairing potholes is very labor intensive and ...

ABSTRACT: Rainfall-induced landslides threaten mountainous regions globally, yet existing models face challenges in real-time, large-scale prediction due to dependency on post-event data. This study ...

I came across your pothole detection project while browsing Roboflow looks like you're actively exploring bounding boxes, thresholds, and API integration. Solid setup. I know how tedious it gets ...

This paper presents a novel quantum artificial intelligence model for efficient and accurate pothole detection on road surfaces, specifically tailored for autonomous vehicle (AV) environments.

Background: Early detection of elevated acute stress is necessary if we aim to reduce consequences associated with prolonged or recurrent stress exposure. Stress monitoring may be supported by valid ...

Conventional artificial intelligence systems are limited by their static architectures. These models operate within fixed, human-engineered frameworks and cannot autonomously improve after deployment.