Tutorials

The tutorial chapter covers the following content up to now:

Beginner Level

• Powering and Programming Interface : This tutorial walks you through how to setup the power connection and start programming with the Kerloud UAV series.

• Offboard Control with Mavros (C++): This tutorial introduces an offboard control example (C++ language) for a waypoint mission using the mavros package.

• Offboard Control with Mavros (Python): The tutorial introduces an example on how to operate Kerloud UAV with the mavros package via Python.

• Indoor Positioning with Optical Flow: This tutorial presents details to realize indoor positioning based on optical flow with minimum setup for Kerloud UAV.

• Flight Data Analysis: This tutorial covers procedures to analyze flight performance with onboard data logs.

Intermediate Level

• Virtual Simulation: This tutorial provides steps to explore a virtual simulation environment in the Gazebo engine for autonomous flights.

• Camera Pod Operation: This tutorial shows details on how to operate the camera pod equipped on a Kerloud 600 UAV.

• Real Time Visual Recognition: This tutorial guides you through how to get the Nvidia Jetson computer started for real time visual recognition with the onboard CSI camera.

• Deep Learning in ROS: This tutorial introduces the details on how to integrate the deep learning capability from the Nvidia community in ROS.

• Realizing Indoor Localization with Onboard Laser SLAM: This tutorial presents how we implement a laser slam method for indoor localization.

• Enabling Autonomous Indoor Flight with a Tracking Camera: This tutorial describes the steps to achieve autonomous indoor flights with our Kerloud Nano VIO Indoor UAV.

Advanced Level

• Obstacle Avoidance in Outdoor Environment: This tutorial demonstrates how to perform obstacle avoidance during flight in outdoor environment.

• Hardware-in-the-loop Simulation in Airsim Environment: This tutorial illustrates how to perform HIL (hardware-in-the-loop) simulation in Airsim environment with a Kerloud autopilot.

• Visual Inertial System (VINS) with Stereo Vision and GPU Acceleration: This tutorial provides a guidance to realize a GPU-accelerated visual inertial system (VINS) by fusing stereo vision and IMU data.

• DASA Swarm Simulation Toolbox: This tutorial introduces the DASA swarm simulation toolbox to facilitate the conceptualization and validation of UAV swarm algorithms.

Coming Soon

More advanced features are coming soon for our Kerloud UAV series, and they are not limited to:

• SLAM (Simultaneous Localization and Mapping)

• Path planning

• Aggressive fast flight

…

So stay with us and stay tuned!