A survey on mobile crowdsensing systems: Challenges, solutions, and opportunities
Mobile crowdsensing (MCS) has gained significant attention in recent years and has
become an appealing paradigm for urban sensing. For data collection, MCS systems rely on …
become an appealing paradigm for urban sensing. For data collection, MCS systems rely on …
[HTML][HTML] Review on smartphone sensing technology for structural health monitoring
Sensing is a critical and inevitable sector of structural health monitoring (SHM). Recently,
smartphone sensing technology has become an emerging, affordable, and effective system …
smartphone sensing technology has become an emerging, affordable, and effective system …
Deep learning-based road damage detection and classification for multiple countries
Many municipalities and road authorities seek to implement automated evaluation of road
damage. However, they often lack technology, know-how, and funds to afford state-of-the-art …
damage. However, they often lack technology, know-how, and funds to afford state-of-the-art …
An automated machine-learning approach for road pothole detection using smartphone sensor data
Road surface monitoring and maintenance are essential for driving comfort, transport safety
and preserving infrastructure integrity. Traditional road condition monitoring is regularly …
and preserving infrastructure integrity. Traditional road condition monitoring is regularly …
[HTML][HTML] Machine learning algorithms for monitoring pavement performance
S Cano-Ortiz, P Pascual-Muñoz… - Automation in …, 2022 - Elsevier
This work introduces the need to develop competitive, low-cost and applicable technologies
to real roads to detect the asphalt condition by means of Machine Learning (ML) algorithms …
to real roads to detect the asphalt condition by means of Machine Learning (ML) algorithms …
Challenges in benchmarking stream learning algorithms with real-world data
Streaming data are increasingly present in real-world applications such as sensor
measurements, satellite data feed, stock market, and financial data. The main characteristics …
measurements, satellite data feed, stock market, and financial data. The main characteristics …
Pavement roughness index estimation and anomaly detection using smartphones
The prevalence of smartphones among vehicle drivers presents exciting opportunities in
assessing pavement roughness in a more efficient and cost-effective manner, compared …
assessing pavement roughness in a more efficient and cost-effective manner, compared …
[HTML][HTML] Road pavement condition diagnostics using smartphone-based data crowdsourcing in smart cities
M Staniek - Journal of traffic and transportation engineering …, 2021 - Elsevier
The purpose of the paper is to analyse the effectiveness of a solution known as road
condition tool (RCT) based on data crowdsourcing from smartphones users in the transport …
condition tool (RCT) based on data crowdsourcing from smartphones users in the transport …
Data sensing and compaction condition modeling for asphalt pavements
Asphalt pavement compaction is a process of rearranging asphalt particles to reduce voids
and increase density. Current empirical methods can sometimes cause compaction …
and increase density. Current empirical methods can sometimes cause compaction …
Smartphone-based road manhole cover detection and classification
Road surface condition detection is an important application for many intelligent
transportation systems (ITSs). A manhole cover depression is one of the common factors …
transportation systems (ITSs). A manhole cover depression is one of the common factors …