Destination Recognition Using Carried Object Detection
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Solution Overview
Problem
Current navigation systems often fail to accurately determine a person's destination at an early stage, especially in routine trips, due to limited information at the start of the journey, leading to delayed recognition of the most probable destination.
Innovation Solution
A method using a target recognition unit that detects objects carried by the person, such as an RFID-enabled company ID card or sports bag, to determine the probable destination through a learning process, combining object detection with heuristic algorithms and interaction with navigation systems to provide timely and accurate route guidance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If only heuristic algorithms based on time and distance are used for destination prediction, then the system complexity remains low, but the destination recognition accuracy is insufficient at early stages
Solution Approach 1:
The patent introduces objects (such as items carried in the vehicle) as intermediary elements to bridge the gap between limited initial information and accurate destination prediction. These objects serve as mediators that provide additional contextual clues about the driver's intentions, enabling more accurate destination recognition without requiring complex system architecture. The objects act as a bridge between the simple heuristic framework and the need for higher prediction accuracy.
2Measurement precision
If the system waits for journey progression to improve destination prediction accuracy, then information completeness increases, but the time delay for providing route guidance increases
Solution Approach 1:
The patent applies preliminary action by analyzing objects carried in the vehicle at the very beginning of the journey, before the trip has progressed. This allows the system to make accurate destination predictions early in the journey rather than waiting for the journey to progress. By performing the analysis preliminarily, based on initial object detection, the system provides timely route guidance without sacrificing accuracy.
3Reliability
If more information sources are integrated for destination prediction, then the probability of correct destination determination increases, but the information processing complexity increases
Solution Approach 1:
The patent segments the information processing into distinct, manageable components: detecting objects in the vehicle, identifying these objects, and using them to determine the destination. This segmentation allows the system to integrate multiple information sources (object detection, object identification, journey context) without creating overwhelming processing complexity. Each segment handles a specific aspect of the analysis independently, making the overall system more manageable while maintaining high reliability.
Data Source
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AI summary
The invention relates to a method for determining a person's destination using a destination identification unit (2), the destination being determined on the basis of a probability with which the person (3) heads for said destination. The disclosed method involves at least the following steps: - identifying at least one object (4) that the person (3) carries with him or her; - determining the probable destination from the at least one identified object (4).