Paved or unpaved? A Deep Learning derived Road Surface Global ...

We have released an open dataset with global coverage on road surface characteristics (paved or unpaved) derived utilising 105 million images.

This study provides global data insights derived from maps and statistics about spatial distribution of Mapillary coverage and road pavedness on ...

(PDF) Paved or unpaved? A Deep Learning derived Road Surface ...

This study provides global data insights derived from maps and statistics about spatial distribution of Mapillary coverage and road pavedness on ...

Paved or unpaved? Dataset can improve road surface data for ...

... global road surface classification using cutting-edge deep learning techniques. ... A Deep Learning derived Road Surface Global Dataset ...

Paved or unpaved? A Deep Learning derived Road Surface Global ...

This paper presents a global dataset of road surface types (paved vs. unpaved) derived from Mapillary street-view imagery using deep learning.

Paved or unpaved? A Deep Learning derived Road Surface Global ...

Using Deep Learning and Mapillary Street View Images to Create a Global Dataset of Paved and Unpaved Roads. Core Concepts. This research ...

AI Papers on X: "Paved or unpaved? A Deep Learning derived Road ...

Paved or unpaved? A Deep Learning derived Road Surface Global Dataset from Mapillary Street-View Imagery. https://t.co/FvB7MFIod5.

Paved or unpaved? A Deep Learning derived Road ... - Altmetric

Paved or unpaved? A Deep Learning derived Road Surface Global Dataset from Mapillary Street-View Imagery. Overview of attention for article published in ...

Paved or unpaved? Dataset can improve road surface data ... - MSN

More information: Sukanya Randhawa et al, Paved or unpaved? A Deep Learning derived Road Surface Global Dataset from Mapillary Street-View Imagery, arXiv (2024) ...

Deep learning framework for intelligent pavement condition rating

It classifies roads into three different types (unpaved, paved, asphalt) and three different ratings (good, regular, bad). The surface type accuracy is reported ...

CSV - Humanitarian Data Exchange

... paved** and **unpaved** surfaces across the region. This information is based on road surface prediction derived from hybrid deep learning ...

Classification of Paved and Unpaved Road Image Using ...

[8] distinguish between paved and unpaved road surfaces using a Convolutional Neural Network (CNN) based on VGG [9]. They train their deep model with smartphone ...

Paved or unpaved? A Deep Learning derived Road Surface Global ...

Paved or unpaved? A Deep Learning derived Road Surface Global Dataset from Mapillary Street-View Imagery. 2024-10-24 09:32:53. Sukanya Randhawa, Eren Aygun, ...

Classification of Paved and Unpaved Road Image Using ...

2020 IEEE 24th International Conference on… 2020. TLDR. A deep learning based method for automatic road type classification from road surface images achieves ...

Mapping Road Surface Type of Kenya Using OpenStreetMap and ...

Road surface type（e.g., paved or unpaved）affects road accessibility and socio-economic development. ... machine learning training samples.

A Review of Deep Learning Advancements in Road Analysis for ...

By understanding the type of surface (for example, asphalt, concrete, or gravel) or what external factor is on the road (dry, wet, or snow), autonomous vehicles ...

A multimodal deep learning approach for gravel road condition ...

Meanwhile, images provide high-resolution visual information about the road surface, enabling the detection of loose gravel patches, displacement, and surface ...

Mapping Road Surface Type of Kenya Using OpenStreetMap ... - NCBI

Identifying road surface types (paved or unpaved) can ensure road vehicle safety, reduce energy consumption, and promote economic ...

Prediction of Unpaved Road Conditions Using High-Resolution ...

... paved road surface to indicate surface ... Framework for unpaved road condition classification using satellite imagery and machine learning.

Edge AI-Based Automated Detection and Classification of Road ...

The accuracy obtained for the classification of paved and unpaved roads ... A deep learning approach to automatic road surface monitoring and pothole detection.