Self-Position Calculation for Drones on Moving Objects
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Solution Overview
Problem
Current information processing systems face challenges in accurately determining the position of a device moving with a moving object, as existing methods often result in misrecognition due to the influence of the moving object's movement on the device's positioning sensors.
Innovation Solution
An information processing apparatus and method that calculate the self-position of a device moving with a moving object by integrating first and second movement information, using external sensors like LiDAR and internal sensors like IMU, and adjusting sensor weighting based on the movement states of both the object and the device to improve detection accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensor data from a device moving with a moving object is used for positioning, then positioning information can be obtained, but detection accuracy deteriorates due to the influence of the moving object's movement on the sensor measurements
Solution Approach 1:
The patent extracts and separates the movement information of the moving object from the sensor data of the own device. By independently acquiring movement information of the moving object through external sensors or communication with its control device, the system removes the harmful influence of the moving object's movement from the positioning calculation, thereby improving positioning accuracy.
Solution Approach 2:
The patent introduces movement information as an intermediary element between the sensor data and the positioning calculation. This movement information acts as a mediator that compensates for the influence of the moving object's movement, allowing the system to accurately determine the own device's position relative to the moving object despite the harmful effects of the moving object's motion.
2Measurement precision
If only internal sensors mounted on the own device are used for positioning, then device complexity is reduced, but detection accuracy deteriorates due to inability to compensate for moving object's movement
Solution Approach 1:
The patent makes the positioning system multi-functional by enabling it to work in both attached and detached states. The same positioning device can accurately determine its position whether it is attached to the moving object or separated from it, by adaptively using movement information from external sensors when attached and only internal sensors when detached, thus avoiding the need for different positioning systems for different states.
Solution Approach 2:
The patent implements a dynamic positioning system that automatically switches between different sensor configurations based on the operational state. When the own device is attached to the moving object, external sensors are activated to provide movement information; when detached, the system relies solely on internal sensors. This dynamic adaptation optimizes device complexity while maintaining positioning accuracy in all states.
3Measurement precision
If external sensors are added to the own device to improve positioning accuracy, then detection accuracy improves, but device complexity increases
Solution Approach 1:
The patent implements a dynamic positioning system that automatically switches between different sensor configurations based on the operational state. When the own device is attached to the moving object, external sensors are activated to provide movement information; when detached, the system relies solely on internal sensors. This dynamic adaptation optimizes device complexity while maintaining positioning accuracy in all states.
Solution Approach 2:
The patent segments the positioning system into modular components: internal sensors that are always active and external sensors that are conditionally activated. This segmentation allows the system to use only the necessary sensors for each operational state, reducing overall device complexity while maintaining high positioning accuracy when external conditions require it.
Data Source
AI summary
An information processing apparatus according to an embodiment of the present technology includes: a calculation unit. The calculation unit calculates a self-position of an own device that moves with a moving object, in accordance with a first movement state of a moving object and a second movement state of the own device, on a basis of first movement information relating to the moving object and second movement information relating to the own device. As a result, it is possible to improve detection accuracy. Further, it is possible to improve the accuracy and reliability of the self-position. Since no displacement of the self-position occurs even in a movement space, it is possible for a drone flying in the air to avoid collision with obstacles in the movement space.