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.


.. list-table::
   :header-rows: 1
   :widths: 10 20 35 35

   * - ID
     - Option
     - Functions
     - Potential Users
   * - 1
     - :ref:`Kerloud Pi Indoor <kerloud_pi_indoor_option>`
     - Onboard Raspberry Pi computer,
       optical flow localization
     - Users getting started with basic
       ROS programming in C++/python for indoor applications
   * - 2
     - :ref:`Kerloud Nano Indoor <kerloud_nano_indoor_option>`
     - 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
     - :ref:`Kerloud Nano VIO Indoor <kerloud_nano_vio_option>`
     - Onboard Nvidia Jetson Nano computer,
       visual-inertial odometry (VIO) localization
     - Intermediate-level users intersted in deep learning
       and indoor vision applications
   * - 4
     - :ref:`Kerloud Optimus NX <kerloud_optimus_nx_option>`
     - 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
     - :ref:`Kerloud 600 Vision <kerloud600_vision_option>`
     - Onboard Nvidia Jetson Nano, obstacle avoidance
     - Intermediate-level users interested in outdoor obstacle
       avoidance with depth cameras
   * - 6
     - :ref:`Kerloud 600 Vision 4G <kerloud600_vision_4g_option>`
     - 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
     - :ref:`Kerloud 600 Pro-Cam Pod <kerloud600_campod_option>`
     - 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)

.. toctree::
   :hidden:
   :maxdepth: 2

   kerloud300_options.rst
   kerloud600_options.rst