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Obstacle avoidance milestones:

  • Onboarding and Autonomy Bootcamp
  • Replicate the flight interface module
  • Research and choose a path-deflection algorithm
  • Collect sample LiDAR data with obstacles from a flight test
  • Implement path deflection algorithm
  • Test obstacle avoidance in simulation
  • Test obstacle avoidance in flight test
  • Research assistive obstacle avoidance algorithms
  • Implement assistive avoidance algorithm
  • Test assistive avoidance in manual mode

Weekly Milestones

Week #

Milestone

Weekly Task

Notes

1: Sept 3

Milestone 1

Bootcamp

Bootcamper Onboarding

Goal: Understand WARG autonomy software workflow

2: Sept 9

Milestone 2

Replicate flight interface module

Goal: Familiarize with WARG’s obstacle avoidance repo and how it works

3: Sept 16

Milestone 3

Research path deflection algorithms

Potential Algorithms:

  • Bendy Ruler

  • Vector Field Histogram

  • Artificial Potential Fields

4: Sept 23

Algorithm design

Goal: Develop a thoroughly designed algorithm that uses 2D LiDAR data

5: Sept 30

Milestone 4

Collect LiDAR data for simulations

Goal: Design multiple scenarios that need to be considered for obstacle avoidance

6: Oct 7

Milestone 5

Start implementing algorithm

7: Oct 14

Continue implementation

8: Oct 21

Milestone 6 & 7

Test algorithm

Goal: Design a comprehensive flight test to observe functionality

9: Oct 28

Make improvements and fine tune algorithm

Goal: Identify shortcomings in algorithm observed from flight test and propose ways to improve

10: Nov 4

Test algorithm again

11: Nov 11

Milestone 8

Research assistive obstacle avoidance algorithms

Potential Algorithms:

  • Proportional

  • Pure pursuit

  • Reactive

12: Nov 18

Milestone 9

Decide and implement assistive avoidance algorithm

13: Nov 25

Milestone 10

Test assistive avoidance in manual mode

14: Dec 2

TBD

15: Dec 9

TBD

16: Dec 16

Offboarding

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