Mobile Object Tracking Control for Predictive Image Capture
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Solution Overview
Problem
Existing technologies face challenges in capturing images of a mobile object, such as a car, while traveling, especially when the object is moving at high speeds or is obscured by obstacles, and when its movement deviates from predicted paths.
Innovation Solution
An information processing system that includes a mobile image capturing apparatus and a mobile object, with a processor executing instructions to receive detection results on whether the mobile object is within the image capturing field angle and issuing steering instructions for either the mobile object or the image capturing apparatus to ensure reliable image capture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the drone automatically or manually operates to include the mobile object in the image capturing field angle, then the mobile object can be captured in the image, but the drone cannot capture the image when the mobile object moves too fast or is hidden by obstacles
Solution Approach 1:
The system performs preliminary actions by predicting the future location of the mobile object based on its current movement state before the object actually moves out of the field angle. The controller calculates where the mobile object will be and proactively adjusts the drone's position or the camera's orientation to ensure continuous capture, preventing the capture failure that would occur if reactive adjustments were made after the object left the frame.
Solution Approach 2:
The system dynamically adapts to the mobile object's changing speed and direction by continuously updating the predicted location based on real-time movement state information. The controller adjusts the drone's tracking behavior dynamically, changing from static field angle maintenance to dynamic predictive tracking that adapts to varying speeds and movement patterns, thereby maintaining reliable capture despite speed variations.
2Reliability
If the drone estimates the location of the mobile object based on movement information, then the drone can track the mobile object, but the mobile object cannot be included in the field angle when the movement differs from predicted movement
Solution Approach 1:
The system implements feedback by continuously monitoring the actual position of the mobile object and comparing it with the predicted position. When the mobile object's actual movement deviates from the predicted trajectory, the system receives feedback about this deviation and adjusts the predicted location accordingly, ensuring the drone maintains accurate tracking even when the mobile object changes its movement pattern unexpectedly.
Solution Approach 2:
The system performs preliminary location prediction based on current movement state, but when actual movement differs from predictions, it promptly updates the prediction. This preliminary action combined with rapid updates ensures the drone anticipates the mobile object's position while remaining adaptable to unexpected movement changes, maintaining both reliability and adaptability.
3Ease of operation
If the drone moves to a predetermined standby location to capture images, then the drone can be in image capturing standby state, but the mobile object cannot be included in the field angle when movement is different from predicted movement
Solution Approach 1:
The system transitions from a static standby location approach to a dynamic tracking approach where the drone continuously adjusts its position based on real-time prediction of the mobile object's location. This dynamic adjustment ensures the drone remains in an effective standby state while adapting to actual movement changes, maintaining both ease of operation and high capture success rate.
Solution Approach 2:
Instead of moving to a fixed predetermined standby location, the system performs preliminary calculation of the optimal drone position based on predicted mobile object location. This allows the drone to be proactively positioned for successful capture while adapting to movement variations, improving upon the static standby approach by making the standby position dynamic and prediction-based.
Data Source
AI summary
An information processing system that enables a mobile image capturing apparatus to reliably capture an image of a mobile object in moving. The n information processing system includes a mobile object, a mobile image capturing apparatus that captures an image of the mobile object, a memory device that stores a set of instructions, and at least one processor that executes the set of instructions to receive a detection result indicating whether the mobile object is included in an image capturing field angle of the mobile image capturing apparatus from the mobile image capturing apparatus, and issue an instruction relating to steering of at least one of the mobile object and the mobile image capturing apparatus in accordance with the detection result.