Schema-Based Environment Encoding for Vehicle Hazard Detection
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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 detection, particularly in complex environments with numerous agents and objects.
Innovation Solution
The use of schema-based encoding systems that structure environmental information using predefined scenario schemas, including elements for agents, motion information, potential interactions, and metadata, to provide a consistent and accurate representation of the vehicle's surroundings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional unstructured approaches are used to interpret environmental information, then the system is simpler to implement, but scenario classification accuracy and hazard detection reliability deteriorate
Solution Approach 1:
The environmental information is segmented into distinct schema elements including agents, motion information, potential interactions, and metadata. Each element is encoded separately according to predefined scenario schemas, allowing for structured processing and improved classification accuracy without overwhelming system complexity
Solution Approach 2:
A schema-based encoding system acts as an intermediary layer between raw sensor data and scenario interpretation. This intermediary structure standardizes environmental information into consistent formats, enabling reliable hazard detection and accurate scenario classification while maintaining manageable system complexity through standardized processing
2Reliability
If conventional unstructured approaches are used, then the processing system is simpler, but hazard detection reliability deteriorates in complex environments
Solution Approach 1:
Environmental information in complex environments is divided into discrete schema elements (agents, motion, interactions, metadata) that can be processed independently. This segmentation allows the system to reliably detect hazards by analyzing specific elements without being overwhelmed by the overall complexity of the environment
Solution Approach 2:
The system transforms unstructured environmental data into structured parameters defined by scenario schemas. By changing the parameter representation from unstructured to structured formats, the system achieves reliable hazard detection while managing processing complexity through standardized parameter definitions
3Measurement precision
If schema-based encoding is implemented, then scenario classification and hazard detection are enhanced, but the complexity of the encoding system increases
Solution Approach 1:
The schema-based encoding system uses universal scenario schemas that can represent multiple types of environmental situations through a common structure. This multi-functionality allows the same encoding framework to handle diverse scenarios (pedestrian crossings, vehicle interactions, environmental hazards) without requiring separate complex systems for each case
Solution Approach 2:
The system achieves enhanced hazard detection precision by transforming environmental data into standardized schema parameters. The parameter changes from raw sensor data to structured schema representations enable precise classification while the standardized transformation process keeps encoding complexity manageable
Data Source
AI summary
Systems, methods, and non-transitory computer-readable media can determine sensor data captured by at least one sensor of a vehicle while navigating an environment over a period of time. Information describing one or more agents associated with the environment during the period of time can be determined based at least in part on the captured sensor data. A schema-based encoding describing the environment during the period of time can be generated based at least in part on the determined information and a scenario schema, wherein the schema-based encoding provides a structured representation of the environment during the period of time.