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4 min presentation in DD2438

Group 1:6

Timur Solovev and Gabriella Dalman

https://docs.google.com/presentation/d/1-pgNyxZ3fz9Ws8BxsMRAypT5DFurwbHXhmhitO2s6ME/edit?usp=sharing

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Our approach to solving the problem

  • Hybrid A* for path planning
  • PD controllers for controlling velocity
  • We want to go with a simple approach that we are familiar with, thus A*
  • Regular A* does not solve for continuous space, but Hybrid A* does.

Image: Application of Hybrid A* to an Autonomous Mobile Robot for Path Planning in Unstructured Outdoor Environments

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In detail…

  • Hybrid A* encounters for the mechanics of a car. With this solved during the planning stage, the driving part does not have to be too complicated.

  • Perhaps we can model a heuristics for the drone mechanics to use in Hybrid A* for the path planning.

Image: Practical Search Techniques in Path Planning for Autonomous Driving

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Progress Status Week 4

  • Comment to customer paying 200 000kr for the report:
    • “All is well, progress is as expected”
  • Planned Time spent: 25%
    • (Out of the combined 200h)
  • Actual Time spent: 15%
    • Out of the combined 200h
  • Actual Progress: 15%
    • (estimate progress towards completing assignment)
  • Risk of not completing assignment: 10%