Robot Target Tracking With Delayed Motion State Prediction
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Solution Overview
Problem
Existing target tracking technologies based on video images are insufficient for meeting the automation and intelligence requirements, particularly in intelligent robot applications, as they struggle to accurately predict and adjust to the movement states of target objects in real-time.
Innovation Solution
A method and apparatus for detecting a target object by identifying it in a monitored region, calculating initial state information, estimating future state information based on a pre-set delay, and adjusting a gimbal to aim a payload, utilizing color detection, connected component analysis, and coordinate mapping to determine position, velocity, and direction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If the detection system processes and responds to target movement in real-time, then response speed is improved, but prediction accuracy of target state deteriorates due to insufficient time for calculation
Solution Approach 1:
The system performs partial prediction by calculating only the essential future state parameters (position, velocity, acceleration) needed for immediate control decisions, rather than computing complete trajectory information. This selective approach provides sufficient accuracy for real-time control while reducing computational burden to enable faster response.
2Stability of the object's composition
If a pre-set delay duration is introduced for state estimation, then control stability is improved, but tracking responsiveness deteriorates
Solution Approach 1:
The system calculates predicted future state information in advance based on current target state and motion dynamics models. By preparing prediction results before the pre-set delay duration elapses, the system maintains control stability through deliberate timing while preserving tracking responsiveness through proactive computation.
Data Source
AI summary
A method for tracking a target object using a detection apparatus includes calculating movement state information of the target object with respect to the detection apparatus according to one or more monitored images, calculating a distance between the target object and the detection apparatus, in response to the distance being not greater than a pre-set distance threshold, estimating, based on first state information including the movement state information, second state information of the target object after a pre-set delay duration, and performing an operation with respect to the target object according to the estimated second state information.