Drones are providing us with new ways to map, monitor, and measure our changing landscape. Advances in digital image processing enable one to go from flying a drone to working with accurate maps and 3D models in a matter of hours. This course examines the applications of drones in which the aerial perspective can be integrated into architecture, engineering and construction practice. In this course, students will gain hands-on experience with drone vehicles, sensors, image processing software and applications. Students will learn how to use drones to help them better understand our changing environment. With the proliferation of drones there are increasing opportunities to use drones for scientific remote sensing data acquisition and applications.
This course focuses on understanding the fundamentals behind acquiring imagery data with drone-based cameras (e.g. multi-spectral and thermal) and processing the data for various applications. Students will also get to know the fundamentals of open source and proprietary software packages as they relate to UAV technology, drone operations, flight planning and data collection and management as well as how to integrate resulting data into other software tools such as GIS, BEM and Python libraries. Recognizing the critical role that AI will play in defining the future international competition, many countries now regard AI as a national priority. The United States launched the American Artificial Intelligence Initiative in 2019 with the mission to promote its leadership in AI research, development, and application. One of the eight national strategies identified in this initiative is to “provide education and training opportunities to prepare the American workforce for the new era of AI”.
In this course, students will go through aerial data processing, mainly data collected from drones, including working with Orthomosaic, Digital Terrain models (DTMs), Digital Surface Models (DSMs), Point Cloud, and 3D mesh modeling. This course will also provide technical and applied knowledge on using drones for building assessment through aerial thermography and the use of UAVs in various applications. The course will also cover the technical foundation of enhanced data processing using AI, including image segmentation and object identification, and feature extraction basics using computer vision techniques in Python. Upon completion of this course, students will have theoretical and applied and technical knowledge that will aid them to use UAVs in various applications. This course is the extended version of Eyes in The Sky Workshop that was offered during IAP 2022, which resulted in 2D mapping of Briggs field and 3D modelling of Simmons Hall at MIT campus.
Prerequisites
Interest in Drones application in mapping and data acquisition and Basic knowledge in Python
Can Be Repeated for Credit
Yes