Detection of GNSS no-line of sight signals using LiDAR sensors for intelligent transportation systems

Hassan, Tarek M.; Fath-Allah, Tamer; Elhabiby, Mohamed; Awad, A.; El-Tokhey, Mohamed

doi:10.1080/00396265.2021.1937458

Cited by 6 publications

(1 citation statement)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In [74], the integration of GNSS and LiDAR for the detection of NLOS signals was presented. The results demonstrated an enhancement in the horizontal direction's positional accuracy after using the presented algorithm which was based on detecting NLOS from the search strip obtained using the LiDAR point clouds and the position information available from the GNSS.…”

Section: ) Detection Of Gnss No-line Of Sight Signalsmentioning

confidence: 99%

Monitoring Critical Infrastructure Using 3D LiDAR Point Clouds

et al. 2023

View full text Add to dashboard Cite

Monitoring critical infrastructure is of great importance for resilience against current and emerging hazards. In Canada, at the national level, critical infrastructure is strategically classified into the following 10 sectors: energy and utilities, finance, food, transportation, government, information and communication technology, health, water, safety, and manufacturing. Many of these critical infrastructures may be effectively monitored using emerging technologies such as light detection and ranging (LiDAR). LiDAR technology enables active remote sensing from airborne and terrestrial systems. Accordingly, LiDAR can be used in a wide range of applications related to the monitoring of critical infrastructure to promote resilience. This survey provides a comprehensive, and structured literature overview of the LiDAR technology currently available for commercial and research use, and also provides a detailed review of the relevant applications of LiDAR for critical infrastructure monitoring. Several LiDAR-based applications in areas of critical infrastructure such as terrestrial and air transportation, gas, oil, and water pipelines, energy generation and distribution, and security are discussed. A summary of the LiDAR data sets that are currently available for use is also presented.

show abstract

Section: ) Detection Of Gnss No-line Of Sight Signalsmentioning

confidence: 99%