Monocular Imaging-based Autonomous Tracking for Low-cost Quad-rotor Design - TraQuad
This provides a low-cost platform for applications in automation, transportation, and reconnaissance, though it appears incremental in combining existing technologies.
The researchers developed TraQuad, a low-cost autonomous quadcopter capable of tracking moving or static objects like cars and humans, achieving a cost reduction to about $250 using custom hardware, software, and algorithms.
TraQuad is an autonomous tracking quadcopter capable of tracking any moving (or static) object like cars, humans, other drones or any other object on-the-go. This article describes the applications and advantages of TraQuad and the reduction in cost (to about 250$) that has been achieved so far using the hardware and software capabilities and our custom algorithms wherever needed. This description is backed by strong data and the research analyses which have been drawn out of extant information or conducted on own when necessary. This also describes the development of completely autonomous (even GPS is optional) low-cost drone which can act as a major platform for further developments in automation, transportation, reconnaissance and more. We describe our ROS Gazebo simulator and our STATUS algorithms which form the core of our development of our object tracking drone for generic purposes.