Object recognition, segmentation, and classification of mobile laser scanning point clouds: A state of the art review

E Che, J Jung, MJ Olsen - Sensors, 2019 - mdpi.com
Mobile Laser Scanning (MLS) is a versatile remote sensing technology based on Light
Detection and Ranging (lidar) technology that has been utilized for a wide range of …

Deep 3D object detection networks using LiDAR data: A review

Y Wu, Y Wang, S Zhang, H Ogai - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
As the foundation of intelligent systems, machine vision perceives the surrounding
environment and provides a basis for decision-making. Object detection is the core task in …

Application of laser systems for detection and ranging in the modern road transportation and maritime sector

N Lopac, I Jurdana, A Brnelić, T Krljan - Sensors, 2022 - mdpi.com
The development of light detection and ranging (lidar) technology began in the 1960s,
following the invention of the laser, which represents the central component of this system …

[HTML][HTML] Point cloud semantic segmentation of complex railway environments using deep learning

J Grandio, B Riveiro, M Soilán, P Arias - Automation in Construction, 2022 - Elsevier
Safety of transportation networks is of utmost importance for our society. With the emergency
of digitalization, the railway sector is accelerating the automation in inventory and inspection …

Review of laser scanning technologies and their applications for road and railway infrastructure monitoring

M Soilán, A Sánchez-Rodríguez, P del Río-Barral… - Infrastructures, 2019 - mdpi.com
Improving the resilience of infrastructures is key to reduce their risk vulnerability and mitigate
impact from hazards at different levels (eg, from increasing extreme events, driven by climate …

[HTML][HTML] Scan-to-BIM for the infrastructure domain: Generation of IFC-compliant models of road infrastructure assets and semantics using 3D point cloud data

A Justo, M Soilán, A Sánchez-Rodríguez… - Automation in …, 2021 - Elsevier
The development of the IFC 4.3 candidate standard sets the pathway for interoperability
amongst different infrastructures that have been harmonized under the buildingSMART …

Data processing approaches on SPAD-based d-TOF LiDAR systems: A review

G Chen, C Wiede, R Kokozinski - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
With the rise of advanced driver assistance systems (ADAS), range sensors and their data
processing methods are becoming more and more important. Light detection and ranging …

3D point cloud to BIM: Semi-automated framework to define IFC alignment entities from MLS-acquired LiDAR data of highway roads

M Soilán, A Justo, A Sánchez-Rodríguez, B Riveiro - Remote Sensing, 2020 - mdpi.com
Building information modeling (BIM) is a process that has shown great potential in the
building industry, but it has not reached the same level of maturity for transportation …

Fully automated methodology for the delineation of railway lanes and the generation of IFC alignment models using 3D point cloud data

M Soilán, A Nóvoa, A Sánchez-Rodríguez… - Automation in …, 2021 - Elsevier
This work presents a fully automated methodology that, in a first step, is able to reliably
extract and delineate the position and geometry of the rails from three-dimensional (3D) …

Simultaneous localization and mapping in the epoch of semantics: a survey

M Sualeh, GW Kim - International Journal of Control, Automation and …, 2019 - Springer
Abstract Simultaneous Localization and Mapping (SLAM) with an astonishing research
history of over three decades has brought the concept to the door step of truly autonomous …