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IWR6843ISK-ODS: Evaluation board for Snow-Clearing Robot with Obstacle Detection

Kanishka Tyagi
Prodigy 10 points
Part Number: IWR6843ISK-ODS
Other Parts Discussed in Thread: IWR6843, IWR6843ISK, IWR6843AOPEVM

Tool/software:

1) Our requirement is to deploy a robot that can clear snow from sidewalks. The snow can conceal various objects beneath it, such as fire hydrants, stones, or even animals ( dogs).

2) The robot moves at a slow speed of 20 mph, and we need it to have a clear view up to a range of 10 meters.

Key requirements:
- A 360-degree view with a range of 10 meters and high resolution to identify objects under the snow.
- Capability to detect both stationary and moving objects.
- Low power consumption, as the robot operates on a battery.
- Preferably with a CAN interface.
- An evaluation board with a USB port would be beneficial for initial testing on a Windows laptop.

Please guide us in figuring out what radar sensor evaluation boards we can use. 

  • 0
    TI__Mastermind 22637 points

    Hello,

    There has not been an application like this before with TI mmWave, if not millimeter wave FMCW radar technology as a whole, but here are my thoughts for this application.

    Radar is very good at detecting objects, regardless of weather or lighting conditions. A mmWave radar chip will be able to see a person in complete darkness during a thunderstorm or blizzard. Radar can also detect objects behind materials such as curtains, coverings, and many different fabrics. However, I am not certain at the feasibility of detecting objects underneath a pile of snow. Water is very reflective, and one of the many reasons why Radar is a good choice for level sensing and being able to know how filled a container is with a liquid. During rain, the water is not concentrated enough to cause issues for detection, but piled up snow could potentially be comparable to a body of water. You will need to test to see how deep under snow objects would be able visible to a radar sensor, and our highest performance part would be the IWR6843. You can evaluate it with either the IWR6843ISK or IWR6843AOPEVM evaluation boards.

    Best Regards,

    Pedrhom