Hung La

Prof. Hung La

University of Nevada Reno
orcid

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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5 April 2018 in IEEE Transactions on Systems, Man, and Cybernetics: Systems
Verified
Journal Article
Closed access
HPHuy Xuan Pham
Huy Xuan Pham
Hung LaHung La
Hung La
DFDavid Feil-Seifer
David Feil-Seifer
MDMatthew C. Deans
Matthew C. Deans
Wild-land fire fighting is a hazardous job. A key task for firefighters is to observe the “fire front” to chart the progress of the fire and areas that will likely spread next. Lack of information of the fire front causes many accidents. Using unmanned aerial vehicles (UAVs) to cover wildfire is promising because it can replace humans in hazardous fire tracking and significantly reduce operation costs. In this paper, we propose a distributed control framework designed for a team of UAVs that can closely monitor a wildfire in open space, and precisely track its development. The UAV team, designed for flexible deployment, can effectively avoid in-flight collisions and cooperate well with neighbors. They can maintain a certain height level to the ground for safe flight above fire. Experimental results are conducted to demonstrate the capabilities of the UAV team in covering a spreading wildfire.

16 July 2020 in Sensors
Verified
Journal Article
Open access
PDF file
HAHabib Ahmed
Habib Ahmed
Hung LaHung La
Hung La
Nenad GucunskiNenad Gucunski
Nenad Gucunski
The non-destructive evaluation (NDE) of civil infrastructure has been an active area of research in recent decades. The traditional inspection of civil infrastructure mostly relies on visual inspection using human inspectors. To facilitate this process, different sensors for data collection and techniques for data analyses have been used to effectively carry out this task in an automated fashion. This review-based study will examine some of the recent developments in the field of autonomous robotic platforms for NDE and the structural health monitoring (SHM) of bridges. Some of the salient features of this review-based study will be discussed in the light of the existing surveys and reviews that have been published in the recent past, which will enable the clarification regarding the novelty of the present review-based study. The review methodology will be discussed in sufficient depth, which will provide insights regarding some of the primary aspects of the review methodology followed by this review-based study. In order to provide an in-depth examination of the state-of-the-art, the current research will examine the three major research streams. The first stream relates to technological robotic platforms developed for NDE of bridges. The second stream of literature examines myriad sensors used for the development of robotic platforms for the NDE of bridges. The third stream of literature highlights different algorithms for the surface- and sub-surface-level analysis of bridges that have been developed by studies in the past. A number of challenges towards the development of robotic platforms have also been discussed.

1 June 2017 in Journal of Field Robotics
Verified
Journal Article
Closed access
PDF file
Hung LaHung La
Hung La
NGNenad Gucunski
Nenad Gucunski
KDKristin Dana
Kristin Dana
SKSeong-Hoon Kee
Seong-Hoon Kee

5 July 2021 in Journal of Intelligent & Robotic Systems
Verified
Journal Article
Closed access
PDF file
SNSon Thanh Nguyen
Son Thanh Nguyen
Hung LaHung La
Hung La

11 January 2018 in Robotica
Verified
Journal Article
Closed access
PDF file
Hung LaHung La
Hung La
TDTran Hiep Dinh
Tran Hiep Dinh
NPNhan Huu Pham
Nhan Huu Pham
QHQuang Ha
Quang Ha
APAnh Quyen Pham
Anh Quyen Pham
Summary: This paper presents visual and 3D structure inspection for steel structures and bridges using a developed climbing robot. The robot can move freely on a steel surface, carry sensors, collect data and then send to the ground station in real-time for monitoring as well as further processing. Steel surface image stitching and 3D map building are conducted to provide a current condition of the structure. Also, a computer vision-based method is implemented to detect surface defects on stitched images. The effectiveness of the climbing robot's inspection is tested in multiple circumstances to ensure strong steel adhesion and successful data collection. The detection method was also successfully evaluated on various test images, where steel cracks could be automatically identified, without the requirement of some heuristic reasoning.

4 March 2021 in IEEE Consumer Electronics Magazine
Verified
Journal Article
Closed access
YAYousef Alghamdi
Yousef Alghamdi
Arslan MunirArslan Munir
Arslan Munir
Hung LaHung La
Hung La
Unmanned aerial vehicles (UAV) have been gaining significant attention in recent times as they are becoming increasingly accessible and easier to use. This article serves as an introduction to UAV systems’ architecture, classification, and applications to help researchers and practitioners starting in this field get adequate information to understand the current state of UAV technologies. The article starts by inspecting the UAVs’ body configuration styles and explains the physical components and sensors that are necessary to operate and fly a UAV system. The article also provides a comparison of several components for state-of-the-art UAVs. The article further discusses different propulsion methods and various payloads that could be mounted on the UAV. The article then explores the classification of UAVs followed by the application of UAVs in different domains, such as recreational, commercial, and military. Finally, the article provides a discussion of futuristic technologies and applications of UAVs along with their associated challenges.