Lessons Learned from Unmanned Aerial System-Based 3D Mapping Experiments

نویسنده

  • Sungjin Kim
چکیده

The use of Unmanned Aerial Systems (UASs) for creating three-dimensional (3D) mapping is n emerging area of research in the Architecture, Engineering and Construction (AEC) domain. The AEC environment has required more advanced management systems for projects successes as complexity increases and schedules are shortened. Three-dimensional mapping could enable progress monitoring, surveying and measuring tasks, and quality control in the AEC industry. However, the process of transforming 2D aerial images to 3D model features has pragmatic challenges. This paper aims at identifying requirements and challenges from field experiments using an UAS for 3D mapping at an university campus and a residential construction site. The experiments involved the following steps: 1) Development of the UAS flight mission plan and selection of the flight mode, 2) Capturing and collecting visual assets from UAS during flights 3) Data processing using the Pix4D software program to perform 3D mapping from the collected images. The main contribution of this paper is the identification of operational requirements and the challenges involved in the use of UASs to perform 3D mapping from the images obtained.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Tactical Information Operations for Autonomous Teams of Unmanned Aerial Vehicles (UAVs)

1 This work was funded by the United States Office of Naval Research (ONR) under Contract Number N00014-00-C-305. Abstract—This paper presents a study of tactical information operations in autonomous teams of Unmanned Aerial Vehicles (UAVs). We discuss the special challenges presented by the autonomous UAV team model, and we present the self-sustaining, self-configuring dynamic network architec...

متن کامل

Autonomous Navigation in a Warehouse with a Cognitive Micro Aerial Vehicle

Micro aerial vehicles (MAVs), such as multirotors, are envisioned for autonomous inventory-taking in large warehouses. Fully autonomous operation of MAVs in such complex 3D environments requires real-time state estimation, obstacle detection, mapping, and navigation planning. To this end, we employ a cognitive MAV equipped with multiple sensors including a dual 3D laser scanner, three stereo ca...

متن کامل

An Ad-hoc Network for Teams of Autonomous Vehicles

1 This work was funded by the United States Office of Naval Research (ONR) under Contract Number N00014-00-C-305. Abstract—This paper presents the study of a mobile ad-hoc network for teams of autonomous vehicles. We discuss the special challenges presented by the autonomous team model, and we present the self-sustaining, self-configuring dynamic network architecture we have developed to addres...

متن کامل

Castle Landenberg

In this paper we demonstrate the workflow of 3D modelling and photorealistic texture mapping based on close range imagery acquired with a mini-UAV (Unmanned Aerial Vehicle) and in terrestrial mode. For generation of a highly accurate 3D model, a combined photogrammetric processing of these images was required. The conducted workflow consists of the following steps: project planning, flight plan...

متن کامل

The U.S. Military Unmanned Aerial Vehicle (UAV) Experience: Evidence-Based Human Systems Integration Lessons Learned

Background: This study was a 10-year cross sectional analysis of human factors in U.S. military UAV mishaps. Methods: Class A-C UAV mishap reports were reviewed and human factors coded using the Human Factors Analysis and Classification System (HFACS). HFACS codes were linked to human systems integration (HSI) domains. Binary logistic regression was used to create models predicting operator err...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2016