Review of Laser Scanning Technologies and Their Applications for Road and Railway Infrastructure Monitoring
Auteur(s): |
Soilán
Sánchez-Rodríguez Río-Barral Perez-Collazo Arias Riveiro |
---|---|
Médium: | article de revue |
Langue(s): | anglais |
Publié dans: | Infrastructures, décembre 2019, n. 4, v. 4 |
Page(s): | 58 |
DOI: | 10.3390/infrastructures4040058 |
Abstrait: |
Improving the resilience of infrastructures is key to reduce their risk vulnerability and mitigate impact from hazards at different levels (e.g., from increasing extreme events, driven by climate change); or from human-made events such as: accidents, vandalism or terrorist actions. One of the most relevant aspects of resilience is preparation. This is directly related to: (i) the risk prediction capability; (ii) the infrastructure monitoring; and (iii) the systems contributing to anticipate, prevent and prepare the infrastructure for potential damage. This work focuses on those methods and technologies that contribute to more efficient and automated infrastructure monitoring. Therefore, a review that summarizes the state of the art of LiDAR (Light Detection And Ranging)-based data processing is presented, giving a special emphasis to road and railway infrastructure. The most relevant applications related to monitoring and inventory transport infrastructures are discussed. Furthermore, different commercial LiDAR-based terrestrial systems are described and compared to offer a broad scope of the available sensors and tools to remote monitoring infrastructures based on terrestrial systems. |
Copyright: | © 2019 the Authors. Licensee MDPI, Basel, Switzerland. |
License: | Cette oeuvre a été publiée sous la license Creative Commons Attribution 4.0 (CC-BY 4.0). Il est autorisé de partager et adapter l'oeuvre tant que l'auteur est crédité et la license est indiquée (avec le lien ci-dessus). Vous devez aussi indiquer si des changements on été fait vis-à-vis de l'original. |
6.97 MB
- Informations
sur cette fiche - Reference-ID
10723260 - Publié(e) le:
22.04.2023 - Modifié(e) le:
10.05.2023