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TurningPoint – Design and develop a self-driving obstacle avoiding vehicle

Design and develop a self-driving & obstacle-avoiding vehicle, fitted with sensors and real-time management from a cloud-hosted backend.

Description of the assignment

  • This internship is focused on processing incoming data from sensors (distance, obstacle- detection, IR distance, etc.) to generate input on which the self-driving ‘vehicle’ can receive its instructions
  • We imagine this vehicle as a platform of max 30cm x 30cm that is fitted with wheels, motors and a ton of sensors.
  • Eventually your vehicle will be used (outside the scope of this internship) on top of a smart trashcan (see TrashBeat internship for more details) so we create a smart trash management system
  • To realize all this, the vehicle will be loaded with all necessary sensors. It will be driven by a motor. This will all be part of your assignment.
  • Your biggest challenge will be the real-time processing of the sensor data to send it over to the driver input management system in a timely fashion.
  • The goal of this assignment will be the delivery of an effective working prototype of both the hardware platform as well as the basic obstacle-avoidance model that in combination can deliver a payload throughout our offices to its endpoint.

Goals

  • This internship is focused on processing incoming data from sensors (distance, obstacle- detection, IR distance, etc.) to generate input on which the self-driving ‘vehicle’ can receive its instructions
  • We imagine this vehicle as a platform of max 30cm x 30cm that is fitted with wheels, motors and a ton of sensors.
  • Eventually your vehicle will be used (outside the scope of this internship) on top of a smart trashcan (see TrashBeat internship for more details) so we create a smart trash management system
  • To realize all this, the vehicle will be loaded with all necessary sensors. It will be driven by a motor. This will all be part of your assignment.
  • Your biggest challenge will be the real-time processing of the sensor data to send it over to the driver input management system in a timely fashion.
  • The goal of this assignment will be the delivery of an effective working prototype of both the hardware platform as well as the basic obstacle-avoidance model that in combination can deliver a payload throughout our offices to its endpoint.

What you will gain

  • You will learn to prototype and adjust minor errors
  • You will learn real-time data captation and processing
  • You will explore all kinds of possibilities of different sensors
  • You will gain knowledge and experience in designing and producting a machine learning
    solution
  • That lovely feeling you’ll get knowing your product will in effect contribute to a neater trash
    management system. It will effectively be used in our offices!

What you need

  • Creativity and the will to succeed
  • A motivated personality that can handle setbacks
  • You see the bigger picture when it comes to making software and hardware work together
  • You want to learn everything about real-time data and stream processing
  • You can’t wait to learn a heck of a lot in a relatively limited time period.
Technologies you'll be using
  • Microcontrollers
  • Cloud backend
  • Messaging infrastructure
  • Spark and MLLib
Location of your assignment

Veldkant 33B, 2550 Kontich

Your mentor

Kevin Smeyers – Technical lead machine learning ToThePoint

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