Hardware Options
Last updated
Was this helpful?
Last updated
Was this helpful?
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.
1
Onboard Raspberry Pi computer
Users getting started with basic ROS programming in C++/python for outdoor applications
2
Onboard Raspberry Pi computer, optical flow localization
Users getting started with basic ROS programming in C++/python for indoor applications
3
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
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
Onboard Nvidia Jetson Nano computer, visual-inertial odometry (VIO) localization
Intermediate-level users intersted in deep learning and indoor vision applications
6
Onboard Nvidia Jetson TX2 computer, visual-inertial odometry & Simultaneous Localization and Mapping (SLAM)
Advanced users interested in indoor SLAM and path planning applications
7
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
Onboard Nvidia Jetson Nano, obstacle avoidance
Intermediate-level users interested in outdoor obstacle avoidance with depth cameras
9
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
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)