Schema-Based Environmental Encoding for Vehicle Hazard Recognition
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Solution Overview
Problem
Conventional approaches to interpreting and applying environmental information for vehicles are limited by their unstructured nature, leading to inaccurate scenario classification and unreliable hazard recognition, particularly in complex environments with high dimensionality of feature data.
Innovation Solution
The use of schema-based encodings that provide a structured representation of environmental information, including agents, motion information, potential interactions, and metadata, allows for more accurate and consistent interpretation and application of environmental data, enabling improved scenario classification and hazard recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If unstructured environmental information is processed, then device complexity is reduced, but measurement precision and reliability of scenario classification deteriorate
Solution Approach 1:
The patent transforms unstructured environmental information into structured representations by changing the parameters of data organization. It uses schema-based encodings that define specific parameters and relationships for environmental features, converting free-form sensor data into standardized structured formats that improve classification accuracy while maintaining manageable complexity through consistent parameter definitions.
Solution Approach 2:
The patent introduces structured environmental models as intermediary representations between raw sensor data and scenario classification algorithms. These models act as mediators that organize unstructured information into structured formats with defined relationships, enabling more reliable hazard recognition without requiring direct processing of complex unstructured data by the classification system.
2Ease of operation
If unstructured environmental information is used, then ease of operation is improved, but reliability of hazard recognition deteriorates
Solution Approach 1:
The system changes the parameter structure of environmental information from unstructured to structured formats. By defining specific parameters for environmental features and their relationships in schema-based models, the system maintains ease of data collection while improving hazard recognition reliability through consistent parameter interpretation and structured organization.
Solution Approach 2:
The patent segments environmental information into distinct structured components with defined parameters and relationships. By dividing the environmental model into separate structured entities (features, relationships, constraints) with clear parameter definitions, the system improves hazard recognition reliability while keeping each segment manageable and easy to process independently.
3Measurement precision
If high dimensionality of feature data is processed, then measurement precision may improve, but device complexity increases
Solution Approach 1:
The patent manages high dimensionality by changing how parameters are organized and related. Instead of processing raw high-dimensional unstructured data directly, the system transforms it into structured representations with defined parameter relationships, constraints, and hierarchies. This maintains the informational content (measurement precision) while reducing processing complexity through structured organization.
Solution Approach 2:
The structured environmental models serve as intermediaries that handle high-dimensional feature data. These models provide a structured framework that organizes high-dimensional information into manageable components with defined relationships, allowing the system to maintain measurement precision while reducing the complexity of direct high-dimensional data processing through the mediating structured representation.
Data Source
AI summary
Systems, methods, and non-transitory computer-readable media can access a first set of schema-based encodings associated with a first environment, wherein a schema-based encoding provides a structured representation of an environment based on a scenario schema. First information representing scenario information associated with the first environment can be generated based at least in part on the first set of schema-based encodings. One or more attributes for the first environment can be determined based at least in part the first information.