A Web-Based Visualization Tool for 3D Spatial Coverage Measurement of Aerial Images

Drones are becoming popular in different domains, from personal to professional usages. Drones are usually equipped with high-resolution cameras in addition to various sensors (e.g., GPS, accelerometers, and gyroscopes). Therefore, aerial images captured by drones are associated with spatial metadata that describe the spatial extent per image, referred to as aerial field-of-view (Aerial FOV). Aerial FOVs can be utilized to represent the visual coverage of a particular region with respect to various viewing directions at fine granular-levels (i.e., small cells composing the region). In this demo paper, we introduce a web tool for interactive visualization of a collection of aerial field-of-views and instant measurement of their spatial coverage over a given 3D space. This tool is useful for several real-world monitoring applications that are based on aerial images to simulate the 3D spatial coverage of the collected visual data in order to analyze their adequacy.

[1]  Cyrus Shahabi,et al.  Image Classification to Determine the Level of Street Cleanliness: A Case Study , 2018, 2018 IEEE Fourth International Conference on Multimedia Big Data (BigMM).

[2]  Roland Siegwart,et al.  Long-Endurance Sensing and Mapping Using a Hand-Launchable Solar-Powered UAV , 2015, FSR.

[3]  Cyrus Shahabi,et al.  Efficient Indexing and Querying of Geo-tagged Aerial Videos , 2017, SIGSPATIAL/GIS.

[4]  Roland Siegwart,et al.  Design of small hand‐launched solar‐powered UAVs: From concept study to a multi‐day world endurance record flight , 2017, J. Field Robotics.

[5]  Alessio Del Bue,et al.  Visual coverage using autonomous mobile robots for search and rescue applications , 2013, 2013 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR).

[6]  Cyrus Shahabi,et al.  Scalable Spatial Crowdsourcing: A Study of Distributed Algorithms , 2015, 2015 16th IEEE International Conference on Mobile Data Management.

[7]  Cyrus Shahabi,et al.  GeoCrowd: enabling query answering with spatial crowdsourcing , 2012, SIGSPATIAL/GIS.

[8]  Cyrus Shahabi,et al.  Spatial Coverage Measurement of Geo- Tagged Visual Data: A Database Approach , 2018, 2018 IEEE Fourth International Conference on Multimedia Big Data (BigMM).

[9]  Cyrus Shahabi,et al.  TVDP: Translational Visual Data Platform for Smart Cities , 2019, 2019 IEEE 35th International Conference on Data Engineering Workshops (ICDEW).

[10]  Anthony Tzes,et al.  Collaborative visual area coverage , 2017, Robotics Auton. Syst..

[11]  Cyrus Shahabi,et al.  Recognizing Material of a Covered Object: A Case Study With Graffiti , 2019, 2019 IEEE International Conference on Image Processing (ICIP).