Behavior Detection Logic Using Position Operators for Distance Rules
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Solution Overview
Problem
Existing methods struggle to accurately convert natural language texts describing physical positions into logical language texts, leading to ambiguity and complexity in proposition design, especially for descriptions involving distances and temporal events.
Innovation Solution
The use of position operators to represent physical positions in logical language texts, such as G pos(0, 500) for 'turn on a right turn signal at a 500 m exit sign', enriches the expression capability and simplifies the conversion process, reducing ambiguity and improving accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If temporal operators are used to convert natural language texts into logical language texts, then temporal events can be represented, but distance descriptions cannot be accurately converted and require complex propositions
Solution Approach 1:
The patent segments the conversion task into two independent parts: temporal operators for time descriptions and position operators for distance descriptions. This segmentation allows each operator type to handle its specific domain independently, avoiding the complexity of trying to represent both time and space using a single operator framework.
Solution Approach 2:
The patent introduces position operators as an intermediary mechanism between natural language distance descriptions and logical language representations. These position operators serve as a dedicated mediator that handles spatial relationships, allowing the system to maintain simple proposition structures while accurately representing distance-based behaviors.
2Measurement precision
If complex propositions are designed to represent distance descriptions, then conversion accuracy improves, but processing complexity increases
Solution Approach 1:
The patent extracts the position representation functionality from the temporal operator framework and creates a separate position operator system. This extraction allows distance descriptions to be represented using simple, dedicated operators rather than complex combinations of temporal operators, thereby maintaining high conversion accuracy while reducing processing complexity.
3Extent of automation
If natural language texts are converted into logical language texts, then machine understanding improves, but conversion accuracy decreases for distance descriptions
Solution Approach 1:
The patent changes the parameter set used for logical language representation by introducing position operators with specific parameters (position, distance range) that directly correspond to natural language distance descriptions. This parameter change enables accurate conversion of distance-based behaviors while maintaining machine understandability through standardized logical operators.
Data Source
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AI summary
A data processing method, a behavior detection method, and a related apparatus are disclosed, and are applied to the fields of language processing and autonomous driving. In this application, a description of a physical position may be represented by using a position operator, to enrich an expression capability of a logical symbol, and improve accuracy of converting a natural language text into a logical language text. Further, the natural language text may be a text indicating a behavior specification. In this case, the logical language text to which the natural language text is converted can be used to efficiently detect whether a behavior of a terminal complies with the behavior specification, thereby improving detection efficiency and accuracy.