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A Distributed Approach for Collision Avoidance between Multirotor UAVs Following Planned Missions.

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This study introduces the Mission Based Collision Avoidance Protocol (MBCAP) to prevent mid-air collisions between autonomous Unmanned Aerial Vehicles (UAVs). The novel protocol ensures safer drone operations with minimal time overhead.

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ArduSimcollision avoidancesense and avoidunmanned aerial vehicle

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Area of Science:

  • Robotics
  • Aerospace Engineering
  • Computer Science

Background:

  • Increasing applications of Unmanned Aerial Vehicles (UAVs) lead to higher risks of mid-air collisions.
  • Autonomous flight operations necessitate robust safety protocols to prevent accidents.

Purpose of the Study:

  • To propose a novel collision avoidance protocol for autonomous multicopter UAVs.
  • To ensure safe navigation and prevent collisions in increasingly crowded airspace.

Main Methods:

  • Development of the Mission Based Collision Avoidance Protocol (MBCAP).
  • Utilizing wireless communication for UAV detection and collision negotiation.
  • Testing the protocol through simulations and real-world experiments.

Main Results:

  • The MBCAP effectively detects nearby UAVs and negotiates collision avoidance procedures.
  • The protocol demonstrated validity and effectiveness in experimental and simulation settings.
  • A small time overhead of 15 to 42 seconds was observed per handled risky situation.

Conclusions:

  • The proposed MBCAP is a viable solution for enhancing UAV safety.
  • The protocol is applicable to all types of autonomous multicopters.
  • MBCAP contributes to safer autonomous drone operations by mitigating collision risks.