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NVIDIA® Jetson™ Developer Challenge

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EBB - Environmentally Beneficial Boat

Project description

This prototype model, manufactured from recycled materials, is designed to detect floating trash, collect it autonomously, and navigate back to the drop off location when full.  ROS pipelines sensor fusion and camera data running on nVidia Jetson TX2. Deep Learning powers it’s capabilities to detect trash, wildlife and obstacles on the camera image and distinguish navigable terrain from water area boundaries. More information including diagrams can be found on github.com/rkaus/ebb.

Comments (29)

  1. g

    gins

    Great to see a project taking on real-world issues, and with some handy upcycling work! Trash collecting trash. I love it!

  2. a

    abhinav_de

    Great job Rohit and Nicholas!

  3. s

    siddhi_apurva

    You guys are doing a great work....Appreciate your efforts.....All the best!

  4. d

    deepestdays

    Ingenious concept and execution -- rooting for you guys!

  5. m

    mkibardina

    Wow! Great minds! This is awesome.

  6. z

    zapisi_dlya

    What a cool project! Hope you win!!!!

  7. i

    info5

    This project is super great and super useful. Thank you for using your minds to help our planet!

  8. i

    info5

    This project is super great and super useful. Thank you for using your minds to help our planet!

  9. s

    spinkov_ph

    This is a very cool project. The whole world should know about it!

  10. l

    lacandlish

    My human eyes and ancient fish gills are grateful. Please keep developing this project!