4.7 Article

Towards Improved Unmanned Aerial Vehicle Edge Intelligence: A Road Infrastructure Monitoring Case Study

Journal

REMOTE SENSING
Volume 14, Issue 16, Pages -

Publisher

MDPI
DOI: 10.3390/rs14164008

Keywords

edge-computation; real-time; remote processing; PANOPTIS; deep learning; DeltaQuad; monitoring; fixed-wing VTOL; hybrid UAV

Funding

  1. Innovation and Networks Executive Agency (INEA) [769129]

Ask authors/readers for more resources

This paper introduces a versatile UAV system that can carry out multiple road infrastructure monitoring tasks simultaneously in real-time. The system design considers computational strain and latency, and it is deployed on a unique typology of UAV. It includes important modules such as vehicle detection, scene segmentation, and 3D scene reconstruction, and has a good performance.
Consumer-grade Unmanned Aerial Vehicles (UAVs) are poorly suited to monitor complex scenes where multiple analysis tasks need to be carried out in real-time and in parallel to fulfil time-critical requirements. Therefore, we developed an innovative UAV agnostic system that is able to carry out multiple road infrastructure monitoring tasks simultaneously and in real-time. The aim of the paper is to discuss the system design considerations and the performance of the processing pipeline in terms of computational strain and latency. The system was deployed on a unique typology of UAV and instantiated with realistic placeholder modules that are of importance for infrastructure inspection tasks, such as vehicle detection for traffic monitoring, scene segmentation for qualitative semantic reasoning, and 3D scene reconstruction for large-scale damage detection. The system was validated by carrying out a trial on a highway in Guadalajara, Spain. By utilizing edge computation and remote processing, the end-to-end pipeline, from image capture to information dissemination to drone operators on the ground, takes on average 2.9 s, which is sufficiently quick for road monitoring purposes. The system is dynamic and, therefore, can be extended with additional modules, while continuously accommodating developments in technologies, such as IoT or 5G.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available