Student: Takudzwa Chakanyuka Supervisor: Prof Antoine Bagula Co-Supervisor: Mr Mehrdad Ghaziasgar.

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Presentation transcript:

Student: Takudzwa Chakanyuka Supervisor: Prof Antoine Bagula Co-Supervisor: Mr Mehrdad Ghaziasgar

 Project Background  Recap  Drone Monitoring  Implementation  Tools

 Multi drone task allocation (MDTA) consisting of coordinating a team of drones and assigning them tasks

 Target search  Task allocation  Drone monitoring Collision avoidance Restricted area avoidance

 Collision avoidance  Track distance between the two drones  If the distance is increasing, the drones won’t collide  If distance between drones is 1m or less, they will most likely collide  Haversine formula  Drone status ◦ Retrieve drone Navdata

 Restricted area avoidance  Compare the distance between the point to visited and restricted point  If distance to restricted area is smaller, compare angle  If angle to access point is within restricted area, drift

Sensor1Sensor 2 Restricted Area Drone1 Drone 2

What we have done so far  Basic movement  Rotation  Simultaneous drone control  Drone video live feed  Save drone feed  Pre-planned collision avoidance

 Parrot Bebop  Parrot 2.0  Wasp Mote  OpenCv  Python  EDIMAX nano USB Wi-fi Adapter