Farming

The aim of this use case is to validate a new defined concept for autonomous farming, where the aim is to remove the human user out of the cabin and instead give the human the function of remote supervisor. Additionally, the aim is to evaluate technologies coming from the automotive domain (e.g. sensors, autonomous driving, etc.) and bring them into the farming domain. Within this use case, there are multiple Systems under Test (SUT), which are:

  • Unmanned Aerial Vehicle (UAV)
  • Autonomous vehicles representing a harvester and a tractor
  • Remote Operator

The complete autonomous farming demonstrator is among other capable of detecting and identifying areas that need harvesting, following defined trajectories on the harvesting field, autonomous harvesting and detecting static obstacles within the field, detecting non-static obstacles (e.g. animals, humans) by the UAV flying overhead of the harvester, autonomous unloading of the crop collected by the harvester to the tractor (during an autonomous parallel driving behavior), while the harvester continuous its harvesting activities and interacting with a remote operator for safety features.

farming1

Additionally, the use case will focus on:

  • Mandatory Sensor Fusion to obtain necessary overview of environment, obstacles, crop status, etc.; combination of several sensors with both similar and distinct features and operation modes (UAVs with aerial view, cameras, laser scanners, multi/hyper-spectral cameras).
  • Solutions for challenging environmental conditions: Dust, rain, fog, hidden obstacles, no road-marks etc.
  • Selection, adequate provisioning and integration of most suited sensors and actuators, networks and network architectures, as well as processing hosts to fulfill the requirements of automated farming; minimization of over-provisioning needs
  • Evaluation of the applicability of building blocks from automotive systems and, if needed, adaptation of them for the automated farming scenario
  • V2V and V2I communication and integrated control approaches paving the way for coordinated and cooperative fleet operation of several different vehicles (e.g. harvester and crop storage truck)

farming2

Current status

  • Individual Systems under Test (SUT) are developed and currently tested, verified and validated based on identified requirements in the first phase of the ENABLE-S3 project.
  • Simulation environments are identified and set up for verification and validation purposes
  • Communication (V2V and V2I) interfaces are identified and currently being tested for suitability

 Upcoming work

  • Integration of the individual SUTs into a single test demonstrator
  • Integration of the simulators with real hardware for HIL verification and validation
  • Identification of verification and validation technologies for autonomous farming