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 |
Functions |
Potential Users |
|---|---|---|---|
1 |
Onboard Raspberry Pi computer, optical flow localization |
Users getting started with basic ROS programming in C++/python for indoor applications |
|
2 |
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/outdoor applications |
|
3 |
Onboard Nvidia Jetson Nano computer, visual-inertial odometry (VIO) localization |
Intermediate-level users intersted in deep learning and indoor vision applications |
|
4 |
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 |
|
5 |
Onboard Nvidia Jetson Nano, obstacle avoidance |
Intermediate-level users interested in outdoor obstacle avoidance with depth cameras |
|
6 |
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 |
|
7 |
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) |