A Web Portal for the Management, Visualization, and Quality Control of Mobile LiDAR/Image Data along Transportation Corridors

Abstract. Efficient management of transportation corridors depends on the availability and effective analysis of high-quality geospatial data. Recent advancements have focused on Mobile Mapping Systems (MMS), which integrate Global Navigation Satellite System/Inertial Navigation System (GNSS/INS), Red-Green-Blue (RGB) cameras, and LiDAR units. However, the large volume of collected data and specialized software/hardware requirements often limit data accessibility and visualization by stakeholders. This study focuses on facilitating accessibility to transportation geospatial data by developing a Potree-based web portal for better management, visualization, and quality control of such data. The developed web portal enhances end-users’ capabilities by providing primary quality control tools for assessing the georeferencing accuracy of multi-modal, multi-platform, and multi-temporal geospatial data. Users can also utilize these quality control tools to validate the calibration of Pan/Tilt/Zoom (PTZ) cameras installed along transportation corridors. Validating the calibration of PTZ cameras allows for precise pointing of these cameras to investigate the cause of traffic congestions and improve response activities by Transportation Management Centers (TMCs). Apart from the primary tools, the proposed portal also offers specialized functionalities to handle derived products from MMS data that can be used for the assessment of pavement markings condition––which is necessary for the safe operation of connected and autonomous vehicles (CAVs).

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Publication Details

Journal
ISPRS annals of the photogrammetry, remote sensing and spatial information sciences
Published
2025-07-12
DOI
https://doi.org/10.5194/isprs-annals-x-g-2025-821-2025
Primary Topic
Remote Sensing and LiDAR Applications
Type
article
Field-Weighted Citation Impact
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article

A Web Portal for the Management, Visualization, and Quality Control of Mobile LiDAR/Image Data along Transportation Corridors

Mona Hodaei, Sang-Yeop Shin, Raja Manish, Ayman Habib et al.
ISPRS annals of the photogrammetry, remote sensing and spatial information sciences
Remote Sensing and LiDAR Applications
article

A Web Portal for the Management, Visualization, and Quality Control of Mobile LiDAR/Image Data along Transportation Corridors

Mona Hodaei, Sang-Yeop Shin, Raja Manish, Ayman Habib, Aser M. Eissa, Sangyoon Park, Sungwoong Hyung, Jidong Liu, Youssef Hany
article en

Abstract

Abstract. Efficient management of transportation corridors depends on the availability and effective analysis of high-quality geospatial data. Recent advancements have focused on Mobile Mapping Systems (MMS), which integrate Global Navigation Satellite System/Inertial Navigation System (GNSS/INS), Red-Green-Blue (RGB) cameras, and LiDAR units. However, the large volume of collected data and specialized software/hardware requirements often limit data accessibility and visualization by stakeholders. This study focuses on facilitating accessibility to transportation geospatial data by developing a Potree-based web portal for better management, visualization, and quality control of such data. The developed web portal enhances end-users’ capabilities by providing primary quality control tools for assessing the georeferencing accuracy of multi-modal, multi-platform, and multi-temporal geospatial data. Users can also utilize these quality control tools to validate the calibration of Pan/Tilt/Zoom (PTZ) cameras installed along transportation corridors. Validating the calibration of PTZ cameras allows for precise pointing of these cameras to investigate the cause of traffic congestions and improve response activities by Transportation Management Centers (TMCs). Apart from the primary tools, the proposed portal also offers specialized functionalities to handle derived products from MMS data that can be used for the assessment of pavement markings condition––which is necessary for the safe operation of connected and autonomous vehicles (CAVs).

ISPRS annals of the photogrammetry, remote sensing and spatial information sciencesVol. X-G-2025
Purdue University West Lafayette (US)
Openalex Percentile: Top 85%
Remote Sensing and LiDAR Applications
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