Drone LIDAR streaming for Public Safety
For several years, public safety agencies have been using drones to improve situational awareness, help locate missing people or suspects, combat fires and inspect damage or accidents. These agencies often use drone streaming solutions where live HD video is streamed in real-time over a secure Internet connection to provide first responders and incident command instant situation awareness and scene assessment during drone operations.
LiDAR (Light Detection and Ranging) is a remote sensing technology that uses rapid laser pulses to map out the surface of the earth. LiDAR is useful when used to create high resolution digital surfaces, terrain and elevation models used for various business applications. Recent developments in LIDAR have both lowered the cost and size of LiDAR modules, allowing them to be mounted to drones.
In this project, we will focus on Real-time LIDAR streaming from drones. Real-time LIDAR streaming provide immediate insights, helping operators make critical decisions quickly, especially important for public safety crews for real-time situational awareness. We will investigate efficient methods of LIDAR compression and streaming solutions considering challenging mobile network conditions. To help make an initial selection of compression methods, we plan to use PCC Arena which is an open-source framework designed to compare how well Pointcloud compression methods (ML and non-ML) work. We will leverage UiO's Drone-lab where drones equipped with LIDAR and mobile network interfaces, and we will validate the proposed solutions by flying the drones in different terrains.
Knowledge of networking is required.
Knowledge of Python and Linux is required.