Drone Imaging Control for Moving Object Collision Avoidance
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Solution Overview
Problem
Existing methods for drone collision avoidance primarily focus on stationary objects and lack effective solutions for avoiding collisions between moving drones in the same space.
Innovation Solution
An information processing device equipped with an imaging unit to capture environmental images and a control unit that detects other moving objects in the travel direction, determining actions to prevent collisions based on information about the other objects, such as recognition performance and movement purposes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If priority-based collision avoidance is implemented between drones, then collision avoidance effectiveness is improved, but communication requirements and system complexity increase
Solution Approach 1:
The drone uses its own imaging unit to detect and identify other drones, and determines collision avoidance actions based on its own recognition capabilities and the detected information of other drones. This self-service approach reduces the need for complex bidirectional communication and recognition functions between drones.
Solution Approach 2:
The system uses imaging units as an intermediary to obtain information about other drones without requiring direct communication between drones. The imaging unit captures images and the control unit processes this visual information to determine collision avoidance actions, serving as a mediator between drone detection and collision avoidance decision-making.
2Measurement precision
If imaging units with high recognition performance are used, then collision avoidance accuracy is improved, but device cost and complexity increase
Solution Approach 1:
The system changes the parameter of using standard imaging units rather than high-performance imaging units. By adjusting the approach to use conventional imaging equipment combined with image processing algorithms, the system achieves satisfactory recognition performance without the high cost and complexity of advanced imaging hardware.
Solution Approach 2:
Instead of requiring each drone to have high-performance imaging units, the system uses standard imaging units that capture images of other drones. The control unit then processes these images to extract necessary information, effectively copying the function of high-performance imaging through standard equipment plus processing.
3Reliability
If the drone performs avoidance operations, then collision prevention is improved, but travel efficiency and speed decrease
Solution Approach 1:
The system dynamically adjusts the avoidance action based on real-time conditions. The control unit determines whether to perform avoidance operations, standby operations, or continue normal travel by evaluating the detected information and recognition performance, allowing the drone to maintain high travel efficiency when collisions are not imminent while ensuring collision prevention when necessary.
Solution Approach 2:
The system changes the parameter of avoidance behavior from constant avoidance to conditional avoidance. By adjusting the avoidance parameter based on recognition performance and detected drone information, the system achieves collision prevention only when necessary, thereby maintaining travel efficiency during normal operation.
Data Source
AI summary
A collision with another moving object is prevented.An information processing device of the present disclosure includes: an imaging unit which acquires image data by capturing an image of an environment including a traveling direction of a moving object; and a control unit which detects another moving object existing in the traveling direction of the moving object on the basis of the image data and performs an action of preventing a collision with the other moving object on the basis of information regarding the other moving object.