Schema-Based Environmental Encoding for Vehicle Scenario Classification
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Solution Overview
Problem
Existing approaches to interpreting and applying environmental information in vehicles are unstructured, leading to inaccurate scenario classification and potential hazards being overlooked.
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 reliable interpretation and application of environmental data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If unstructured approaches are used to interpret environmental information, then device complexity is reduced, but scenario classification accuracy deteriorates
Solution Approach 1:
The environmental information is segmented into distinct schema-based encodings, where each encoding represents a specific aspect of the environment (e.g., agents, motion information, potential interactions, metadata). This segmentation allows for structured organization and accurate classification without overwhelming complexity.
Solution Approach 2:
The patent transforms unstructured environmental data into structured schema-based encodings by changing the parameters and organization of the data. Each schema-based encoding includes specific parameters such as agent identification, motion information, interaction potential, and metadata, which enables precise scenario classification.
2Measurement precision
If schema-based encodings are implemented, then scenario classification accuracy is improved, but data processing complexity increases
Solution Approach 1:
The schema-based encoding framework serves multiple functions simultaneously: it structures environmental data, enables scenario classification, identifies potential hazards, and supports decision-making. This multi-functionality reduces the need for separate processing systems for each task.
Solution Approach 2:
The schema-based encodings act as an intermediary layer between raw sensor data and scenario classification algorithms. This intermediary structure simplifies the processing by pre-organizing data into meaningful categories and relationships, reducing the complexity of downstream analysis.
3Reliability
If structured schema-based encodings are used, then environmental information interpretation is improved, but information processing time increases
Solution Approach 1:
The schema-based encodings perform preliminary organization and structuring of environmental information as data is collected. By pre-processing and categorizing data into standardized schemas, the system reduces the time required for subsequent interpretation and decision-making processes.
Data Source
AI summary
Systems, methods, and non-transitory computer-readable media can access a plurality of schema-based encodings providing a structured representation of an environment captured by one or more sensors associated with a plurality of vehicles traveling through the environment. The plurality of schema-based encodings can be clustered into one or more clusters of schema-based encodings. At least one scenario associated with the environment can be determined based at least in part on the one or more clusters of schema-based encodings.