Build your own visual-inertial odometry aided cost-effective open-source autonomous drone.

This video shows an approach to building a cost-effective and research grade visual-inertial odometry aided vertical taking-off and landing (VTOL) platform.
Tutorial documentation and source code can be found from our repo at;
github.com/eth...
We utilize an off-the-shelf visual-inertial sensor, an onboard computer, and a quadrotor platform that are factory-calibrated and mass-produced, thereby sharing similar hardware and sensor specifications (e.g., mass, dimensions, intrinsic and extrinsic of camera-IMU systems, and signal-to-noise ratio). We then perform a system calibration and identification enabling the use of our visual-inertial odometry, multi-sensor fusion, and model predictive control frameworks with the off-the-shelf products. This implies that we can partially avoid tedious parameter tuning procedures for building a full system. The complete system is extensively evaluated both indoors using a motion capture system and outdoors using a laser tracker while performing hover and step responses, and trajectory following tasks in the presence of external wind disturbances.
Associate paper can be found from arxiv:
arxiv.org/abs/...

[@antonyharnist8673]

Impressive work!!

[@aykutsirma4260]

Nice work there. Thus, I would like to ask a question: "Within this project, are you using GPS or your autonomous drone is moving without using GPS but based on visual-inertial odometry, right?" thank you.

[@Jasonreninsh]

is this tech the same as dyson 360?