Trajectory Estimation Using Visible Object Recognition
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Solution Overview
Problem
Existing moving object trajectory estimating devices inaccurately estimate trajectories by considering invisible objects, leading to inappropriate predictions and inefficient processing.
Innovation Solution
A device that acquires surrounding information and recognition information specific to the moving object, allowing for accurate trajectory estimation by focusing only on visible and communicable information, enhancing processing speed and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the device considers movements of all other objects around the specified object (including invisible objects), then the trajectory estimation comprehensively accounts for all possible interfering objects, but the estimation accuracy deteriorates because invisible objects cannot be properly identified and the processing becomes inefficient
Solution Approach 1:
The patent extracts and processes only the subset of objects that are visible or recognizable to the specified moving object, excluding invisible objects from the trajectory estimation process. This is achieved by using recognition information (such as camera detection, radar detection, or communication data) to filter the set of all surrounding objects down to only those that the specified object can actually perceive, thereby maintaining estimation accuracy while reducing computational burden
Solution Approach 2:
The patent segments the set of all surrounding objects into multiple categories: visible objects, invisible objects, and objects of interest. By dividing the comprehensive set of surrounding objects into these segments, the system can selectively process only the relevant visible segment for trajectory estimation, avoiding the inclusion of invisible objects that would degrade accuracy
2Reliability
If the device processes information from all surrounding objects including invisible ones, then the trajectory estimation is performed from a third-party omniscient perspective, but the processing speed deteriorates due to the increased amount of data to be processed
Solution Approach 1:
The patent extracts only the necessary recognition information that is actually available to the specified moving object, excluding information about invisible objects from processing. This extraction principle maintains reliable trajectory estimation based on available data while significantly improving processing speed by eliminating unnecessary computations related to undetectable objects
3Productivity
If the device uses recognition information only from the specified object's perspective, then the processing speed and accuracy are improved, but the comprehensive understanding of all surrounding movements is reduced
Solution Approach 1:
The patent introduces communication systems as intermediaries that allow the specified moving object to obtain recognition information about objects that are not directly visible. Through vehicle-to-vehicle communication or infrastructure communication, the system can infer the presence and trajectory of objects in blind spots, thereby maintaining comprehensive environmental awareness while still processing information from the specified object's perspective
Data Source
AI summary
A moving object trajectory estimating device has: a surrounding information acquisition part that acquires information on surroundings of a moving object; a trajectory estimating part that specifies another moving object around the moving object based on the acquired surrounding information and estimates a trajectory of the specified moving object; and a recognition information acquisition part that acquires recognition information on a recognizable area of the specified moving object, and the trajectory estimating part estimates a trajectory of the specified moving object, based on the acquired recognition information of the specified moving object.