Sep 5, 2017 · An Android application named vidMAp based on a smartphone was developed that can be installed on smartphones in public vehicles, to collect ...
This paper presents a collection model to efficiently gather the information needed for road asset management and other digital cartography applications.
Dive into the research topics of 'Road asset detection model using smartphones: A deployment analysis'. Together they form a unique fingerprint. Sort by ...
Therefore, combining AI models with images taken by phones has great potential in automatic data collection and identification of transportation assets.
This paper presents a two-stage machine learning approach that extracts potential anomalies from the dataset and classifies them into four typical road feature ...
Missing: Deployment | Show results with:Deployment
We propose a novel approach to detecting road defects by leveraging smartphones. This approach presents an automatic data collection mechanism and a deep ...
Missing: Asset | Show results with:Asset
The results show that the developed AI models achieve good performance, with over 85% accuracy in transportation asset identification. The mobile phone-based AI ...
ABSTRACT: Almost every today's smartphone is integrated with many useful sensors. The sensors are originally designed to make the smartphones user interface ...
Specifically, a smartphone was mounted on the vehicle's front windshield to collect videos of transportation assets on both highways and local roads. These ...
Missing: Deployment | Show results with:Deployment
Road Asset Detection Model Using Smartphones: A Deployment Analysis. ICDSC ... A cost-benefit analysis of an ad-hoc road asset data collection system using fleet- ...