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

Kerloud Pi Indoor

Onboard Raspberry Pi computer, optical flow localization

Users getting started with basic ROS programming in C++/python for indoor applications

2

Kerloud Nano 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/outdoor applications

3

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

4

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

5

Kerloud 600 Vision

Onboard Nvidia Jetson Nano, obstacle avoidance

Intermediate-level users interested in outdoor obstacle avoidance with depth cameras

6

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

7

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)