A Methodology to Replicate Cutting-Edge Surveying Equipment Using Cost-Sensitive Devices to Promote Innovative Mapping Solutions in Undergraduate Engineering

Salvatore Marsico; Henrique Oliveira; Débora Paula Simões

Download Paper | Permalink

Conference: 2024 ASEE Annual Conference & Exposition
Location: Portland, Oregon
Publication Date: June 23, 2024
Start Date: June 23, 2024
End Date: July 12, 2024
Conference Session: Civil Engineering Division (CIVIL) Technical Session - Instructional Technology 1
Tagged Division: Civil Engineering Division (CIVIL)
Permanent URL: https://peer.asee.org/46454

Request a correction

Paper Authors

biography

Salvatore Marsico Penn State University

visit author page

Dr. Marsico is an Associate Professor of Engineering and Legal Issues in Engineering in the University College of Penn State University.

visit author page

biography

Henrique Oliveira University of Campinas

visit author page

Dr. Henrique Oliveira is an Associate Professor at the University of Campinas - Brazil. He is responsible for Geomatics courses (plane surveying, Photogrammetry, Remote Sensing, and GIS) in the Department of Infrastructure and Environment at the School of Civil Engineering, Architecture, and Urban Planning. His research is primarily in Surveying and Geospatial Science, working with topics related to engineering problems with attention to the Transport field. Previously he was an Assistant Teaching Professor of Surveying Engineering – at Penn State University - Wilkes-Barre campus. His teaching responsibilities at Penn State were in a broad area of Geomatics encompassing the areas of Photogrammetry, Remote Sensing, GIS, and Geodesy. In 2010, he graduated in Cartographic Engineering, followed by a master's degree in Cartographic Science in 2013, both from the Sao Paulo State University in Brazil. During his PhD, he had the opportunity to develop part of his major at Purdue University and obtained his Doctorate certificate from Sao Paulo State University in 2016.

visit author page

biography

Débora Paula Simões University of Campinas

visit author page

Mrs. Debora is a PhD candidate at the University of Campinas - Graduate Program in Civil Engineering / Transportation subject area. She is also an Assistant Teaching Professor at the South of Minas Gerais Federal Institute. Her main teaching responsibilities are related to Surveying and Photogrammetry. Currently, her research focus is on real-time 3D Unmanned Aircraft Vehicles routing adjustment using artificial intelligence algorithms.

visit author page

Download Paper | Permalink

Abstract

Engineering applications typically use mapping products as input for developing solutions. Several levels of data acquisition can support engineering projects, such as orbital, aerial, and terrestrial data gathering. Considering the terrestrial level, the way to acquire data can be static, where the equipment is at a fixed position during the measurements, or kinematic (mobile), in which a platform carries the equipment during data acquisition - in movement. Terrestrial mobile mapping systems (TMMS) usually have sensors assembled in a vehicle that collect data while moving, and nowadays, these systems can cost around one million dollars. That said, it is notorious that only a few commercial applications rely on this mapping strategy. Regarding educational purposes, these commercial TMMS systems are introduced to students with point cloud data provided by mapping companies. However, these commercial TMMS are cost-prohibitive for most universities, preventing students from fully exploring this technology in terms of configuration, data collection, data processing, and product generation. Based on this, this project presents a service-oriented project-based learning approach to bring the sense of using TMMS to the university with low-cost devices.

The proposed strategy contemplates developing a cost-sensitive terrestrial mobile mapping system (CS-TMMS) to support a PBL service-oriented project. The instructor integrated the CS-TMMS development into undergraduate research and courses to explore the potential of a CS-TMMS for cadastral applications related to power distribution and vegetation management, parcel-based solutions, and transportation.

Students were involved in software development, data acquisition, and data manipulation. Students defined possible applications based on features extracted from images collected by the CS-TMMS. After image acquisition, vehicle trajectories were established using Global Navigation Satellite Systems (GNSS) and used as input for the mapping stage, followed by cartographic product generation using Geographic Information Systems (GIS).

Based on the results, it was possible to create geodatabases with information regarding the location of different features and their characteristics, such as poles, traffic signs, residency, trees, and others. The products generated highlight the approach's feasibility for educational and technical purposes.

Citation
Format

Marsico, S., & Oliveira, H., & Simões, D. P. (2024, June), A Methodology to Replicate Cutting-Edge Surveying Equipment Using Cost-Sensitive Devices to Promote Innovative Mapping Solutions in Undergraduate Engineering Paper presented at 2024 ASEE Annual Conference & Exposition, Portland, Oregon. https://peer.asee.org/46454

TY - CPAPER
AB - Engineering applications typically use mapping products as input for developing solutions. Several levels of data acquisition can support engineering projects, such as orbital, aerial, and terrestrial data gathering. Considering the terrestrial level, the way to acquire data can be static, where the equipment is at a fixed position during the measurements, or kinematic (mobile), in which a platform carries the equipment during data acquisition - in movement. Terrestrial mobile mapping systems (TMMS) usually have sensors assembled in a vehicle that collect data while moving, and nowadays, these systems can cost around one million dollars. That said, it is notorious that only a few commercial applications rely on this mapping strategy.
Regarding educational purposes, these commercial TMMS systems are introduced to students with point cloud data provided by mapping companies. However, these commercial TMMS are cost-prohibitive for most universities, preventing students from fully exploring this technology in terms of configuration, data collection, data processing, and product generation. Based on this, this project presents a service-oriented project-based learning approach to bring the sense of using TMMS to the university with low-cost devices.

The proposed strategy contemplates developing a cost-sensitive terrestrial mobile mapping system (CS-TMMS) to support a PBL service-oriented project. The instructor integrated the CS-TMMS development into undergraduate research and courses to explore the potential of a
CS-TMMS for cadastral applications related to power distribution and vegetation management, parcel-based solutions, and transportation.

Students were involved in software development, data acquisition, and data manipulation. Students defined possible applications based on features extracted from images collected by the CS-TMMS. After image acquisition, vehicle trajectories were established using Global Navigation Satellite Systems (GNSS) and used as input for the mapping stage, followed by cartographic product generation using Geographic Information Systems (GIS).

Based on the results, it was possible to create geodatabases with information regarding the location of different features and their characteristics, such as poles, traffic signs, residency, trees, and others. The products generated highlight the approach&#39;s feasibility for educational and technical purposes.

AU - Salvatore Marsico
AU - Henrique Oliveira
AU - Débora Paula Simões
CY - Portland, Oregon
DA - 2024/06/23
PB - ASEE Conferences
TI - A Methodology to Replicate Cutting-Edge Surveying Equipment Using Cost-Sensitive Devices to Promote Innovative Mapping Solutions in Undergraduate Engineering
UR - https://peer.asee.org/46454
ER -