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

Review Geography, Physical

UAV in the advent of the twenties: Where we stand and what is next

F. Nex et al.

Summary: This paper reviews best practices for the use of UAVs in remote sensing and mapping applications, emphasizes the need for interdisciplinary research, explores the future trends and impacts of UAVs in photogrammetry and remote sensing.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2022)

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Article Environmental Sciences

Flood Detection Using Real-Time Image Segmentation from Unmanned Aerial Vehicles on Edge-Computing Platform

Daniel Hernandez et al.

Summary: This paper explores the autonomy of UAVs in disaster scenarios. By using UAV image datasets and AI-based methods, the UAVs can automatically identify flooded areas. Optimized algorithms enable image classification to be performed on the UAVs themselves, with only the results being uploaded to the cloud for real-time tracking, reducing infrastructure dependency and network resource consumption.

REMOTE SENSING (2022)

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Article Engineering, Geological

Use of UAV-based photogrammetry products for semi-automatic detection and classification of asphalt road damage in landslide-affected areas

Nicoletta Nappo et al.

Summary: The study aims to provide a semi-automatic method for assessing damage to asphalt-paved roads in landslide-affected areas, supporting risk analysis and disaster mitigation planning. By utilizing 3D models and 2D images from UAV-based photogrammetry to detect cracks on roads, severity assessment can be done rapidly and objectively.

ENGINEERING GEOLOGY (2021)

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Article Computer Science, Artificial Intelligence

Real-time semantic segmentation with weighted factorized-depthwise convolution

Xiaochen Hao et al.

Summary: This paper presents a new deep convolutional network WFDCNet, which can improve inference speed while maintaining high accuracy, by using FCS module and LAPF module. Superior performance is demonstrated on multiple datasets, especially achieving 73.7% mIoU on Cityscapes dataset.

IMAGE AND VISION COMPUTING (2021)

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Article Construction & Building Technology

An approach for the automated extraction of road surface distress from a UAV-derived point cloud

Serkan Bicici et al.

Summary: This study aims to automatically detect and measure road distress from images obtained by unmanned aerial vehicles (UAVs). The methodology involves generating a 3D point cloud, extracting the road surface, and using an algorithm to detect and measure road distress automatically. The accuracy assessment shows similar results to traditional methods, with root mean square error values ranging from 2.09-6.72 cm, and the outcomes compared favorably with commercial GIS software for detecting road surface distress.

AUTOMATION IN CONSTRUCTION (2021)

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Article Engineering, Electrical & Electronic

RoadNet-RT: High Throughput CNN Architecture and SoC Design for Real-Time Road Segmentation

Lin Bai et al.

Summary: This article introduces a lightweight, high-throughput CNN architecture called RoadNet-RT for road segmentation, achieving accuracy of 92.55% on the KITTI dataset and 92.98% on the CamVid dataset. Running on a GTX 1080 GPU, it has an inference time of about 9 milliseconds per frame, which speeds up the inference time by a factor of 17.8 compared to state-of-the-art networks.

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS (2021)

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Article Environmental Sciences

MultEYE: Monitoring System for Real-Time Vehicle Detection, Tracking and Speed Estimation from UAV Imagery on Edge-Computing Platforms

Navaneeth Balamuralidhar et al.

Summary: MultEYE is a traffic monitoring system designed for UAV platforms, able to detect, track, and estimate the velocity of vehicles in real-time. Through multi-task learning and optimized algorithms, it achieves higher precision, faster speed, and generalizes well to different real-world traffic scenarios.

REMOTE SENSING (2021)

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Article Geography, Physical

Real-time Semantic Segmentation with Context Aggregation Network

Michael Ying Yang et al.

Summary: In this paper, a Context Aggregation Network is proposed for pixelwise semantic segmentation, utilizing a dual-branch convolutional neural network with lower computational costs and competitive prediction accuracy. By combining a high-resolution branch for spatial detailing and a context branch with lightweight global aggregation and local distribution blocks, the model can capture both long-range and local contextual dependencies efficiently.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2021)

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Article Remote Sensing

UAV-Enabled Mobile Edge-Computing for IoT Based on AI: A Comprehensive Review

Yassine Yazid et al.

Summary: This paper provides a comprehensive review of the most relevant research works related to UAV technology applications in terms of enabled or assisted MEC architectures. It details the utility of UAV-enabled MEC architecture regarding emerging IoT applications and the role of both deep learning (DL) and machine learning (ML) in meeting various limitations related to latency, task offloading, energy demand, and security. Throughout the article, readers gain insights into the future of UAV-enabled MEC, the advantages, and the critical challenges to be tackled when using AI.

DRONES (2021)

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Article Remote Sensing

On the Performance of a UAV-Aided Wireless Network Based on NB-IoT

Silvia Mignardi et al.

Summary: The article discusses the increasing interest in using UAVs as a means of wireless connectivity and explores their applications in collecting IoT data. It thoroughly reviews the technical aspects of Narrow Band IoT networks served by UAV base stations and studies the impact of varying UAV parameters on network performance.

DRONES (2021)

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Article Mathematics, Interdisciplinary Applications

The INUS Platform: A Modular Solution for Object Detection and Tracking from UAVs and Terrestrial Surveillance Assets

Evangelos Maltezos et al.

Summary: Situational awareness is crucial in emergency response and civil protection, requiring timely access to information and effective transformation of data into actionable insights. Unmanned systems as data acquisition platforms have become attractive for emergency operations, and this paper proposes a multipurpose situational awareness platform utilizing advanced processing capabilities and efficient computer vision, image processing, and machine learning techniques.

COMPUTATION (2021)

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Article Environmental Sciences

Real-Time Detection of Ground Objects Based on Unmanned Aerial Vehicle Remote Sensing with Deep Learning: Application in Excavator Detection for Pipeline Safety

Lingxuan Meng et al.

REMOTE SENSING (2020)

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Review Computer Science, Information Systems

UAV-Based Structural Damage Mapping: A Review

Norman Kerle et al.

ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2020)

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Article Geography, Physical

UAVid: A semantic segmentation dataset for UAV imagery

Ye Lyu et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2020)

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Article Remote Sensing

Bridge Inspection with an Off-the-Shelf 360° Camera Drone

Andreas Humpe

DRONES (2020)

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Proceedings Paper Automation & Control Systems

OpenREALM: Real-time Mapping for Unmanned Aerial Vehicles

Alexander Kern et al.

2020 INTERNATIONAL CONFERENCE ON UNMANNED AIRCRAFT SYSTEMS (ICUAS'20) (2020)

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Article Computer Science, Information Systems

Using UAV Based 3D Modelling to Provide Smart Monitoring of Road Pavement Conditions

Ronald Roberts et al.

INFORMATION (2020)

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Article Environmental Sciences

Towards Real-Time Building Damage Mapping with Low-Cost UAV Solutions

Francesco Nex et al.

REMOTE SENSING (2019)

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Article Engineering, Civil

UAV Bridge Inspection through Evaluated 3D Reconstructions

Siyuan Chen et al.

JOURNAL OF BRIDGE ENGINEERING (2019)

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Article Engineering, Multidisciplinary

Identification of rut and pothole by using multirotor unmanned aerial vehicle (UAV)

Azri Mat Saad et al.

MEASUREMENT (2019)

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Article Environmental Sciences

An Adaptive Framework for Multi-Vehicle Ground Speed Estimation in Airborne Videos

Jing Li et al.

REMOTE SENSING (2019)

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Article Computer Science, Information Systems

Integrated UAV-Based Real-Time Mapping for Security Applications

Daniel Hein et al.

ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2019)

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Article Chemistry, Analytical

Deep Learning-Based Real-Time Multiple-Object Detection and Tracking from Aerial Imagery via a Flying Robot with GPU-Based Embedded Devices

Sabir Hossain et al.

SENSORS (2019)

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Article Energy & Fuels

Unmanned Aerial Vehicles Enabled IoT Platform for Disaster Management

Waleed Ejaz et al.

ENERGIES (2019)

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Article Chemistry, Analytical

On-Board Real-Time Trajectory Planning for Fixed Wing Unmanned Aerial Vehicles in Extreme Environments

Ben Schellenberg et al.

SENSORS (2019)

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Article Computer Science, Information Systems

UAV Photogrammetry-Based 3D Road Distress Detection

Yumin Tan et al.

ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2019)

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Article Construction & Building Technology

Once upon a Time in Italy: The Tale of the Morandi Bridge

Gian Michele Calvi et al.

STRUCTURAL ENGINEERING INTERNATIONAL (2019)

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Article Engineering, Electrical & Electronic

Accessing From the Sky: A Tutorial on UAV Communications for 5G and Beyond

Yong Zeng et al.

PROCEEDINGS OF THE IEEE (2019)

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Proceedings Paper Engineering, Electrical & Electronic

Real-time Single Object Detection on The UAV

Hsiang-Huang Wu et al.

2019 INTERNATIONAL CONFERENCE ON UNMANNED AIRCRAFT SYSTEMS (ICUAS' 19) (2019)

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Article Construction & Building Technology

A Practitioner's Guide to Small Unmanned Aerial Systems for Bridge Inspection

Sattar Dorafshan et al.

INFRASTRUCTURES (2019)

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Article Imaging Science & Photographic Technology

ECRU: An Encoder-Decoder Based Convolution Neural Network (CNN) for Road-Scene Understanding

Robail Yasrab

JOURNAL OF IMAGING (2018)

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Article Construction & Building Technology

Quality Assessment of Unmanned Aerial Vehicle (UAV) Based Visual Inspection of Structures

G. Morgenthal et al.

ADVANCES IN STRUCTURAL ENGINEERING (2014)

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Article Computer Science, Interdisciplinary Applications

An Unmanned Aerial Vehicle-Based Imaging System for 3D Measurement of Unpaved Road Surface Distresses

Chunsun Zhang et al.

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2012)

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Article Engineering, Civil

Investigating effects of asphalt pavement conditions on traffic accidents in Tennessee based on the pavement management system (PMS)

Chun Yip Chan et al.

JOURNAL OF ADVANCED TRANSPORTATION (2010)

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Article Computer Science, Artificial Intelligence

Semantic object classes in video: A high-definition ground truth database

Gabriel J. Brostow et al.

PATTERN RECOGNITION LETTERS (2009)

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

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