Hardware Options

The Kerloud UAV family provides various configurations to meet the need from different scenarios.

The overview of available options is shown in the table below.

ID	Option	Main Functions	Potential Users
1	Kerloud Pi Outdoor	Onboard Raspberry Pi computer	Users getting started with basic ROS programming in C++/python for outdoor applications
2	Kerloud Pi Indoor	Onboard Raspberry Pi computer, optical flow localization	Users getting started with basic ROS programming in C++/python for indoor applications
3	Kerloud Nano Outdoor	Onboard Nvidia Jetson Nano computer	Users getting started with deep learning software in Nvidia community, and basic ROS programming in C++/python for outdoor applications
4	Kerloud Nano Optical Flow Indoor	Onboard Nvidia Jetson Nano computer, optical flow localization	Users getting started with deep learning software in Nvidia community, and basic ROS programming in C++/python for indoor applications
5	Kerloud Nano VIO Indoor	Onboard Nvidia Jetson Nano computer, visual-inertial odometry (VIO) localization	Intermediate-level users intersted in deep learning and indoor vision applications
6	Kerloud SLAM TX2	Onboard Nvidia Jetson TX2 computer, visual-inertial odometry & Simultaneous Localization and Mapping (SLAM)	Advanced users interested in indoor SLAM and path planning applications
7	Kerloud Optimus NX	Onboard Nvidia Jetson NX (memory 16GB) computer, visual-inertial odometry, Ego-planner based agile flight, Simultaneous Localization and Mapping (SLAM)	Advanced users interested in indoor SLAM and path planning applications
8	Kerloud 600 Vision	Onboard Nvidia Jetson Nano, obstacle avoidance	Intermediate-level users interested in outdoor obstacle avoidance with depth cameras
9	Kerloud 600 Vision 4G	Onboard Nvidia Jetson Nano, obstacle avoidance, 4G long range flight	Intermediate-level users interested in outdoor obstacle avoidance with depth cameras and long range flights
10	Kerloud 600 Pro Cam-Pod	Onboard Nvidia Jetson Nano, obstacle avoidance, high-resolution camera pod	Advanced users interested in outdoor obstacle avoidance with depth cameras, and vision applications (landing on moving platforms, visual tracking, etc)