Dynamic Environmental Representation for Autonomous Vehicle Relabeling
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Solution Overview
Problem
Conventional systems struggle to efficiently update and implement changes in an autonomous vehicle's environmental representation, making it difficult to maintain an accurate understanding of its surroundings for optimal and safe decision-making.
Innovation Solution
A system and method for dynamically updating an environmental representation using a sensor suite, labeling and relabeling subsystems, and a computing system to generate and refine the representation, enabling continuous adaptation and correction of object labels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional systems continuously collect environmental information during autonomous vehicle operation, then the understanding of environment changes, but it is extremely difficult to store and implement the updated information in decision-making and planning
Solution Approach 1:
The patent segments the environmental representation into discrete object labels with unique identifiers, separating individual object tracking from the overall environmental model. This allows each object to be independently updated and stored in a structured format, making the complex task of maintaining environmental representations manageable through modular organization of data.
Solution Approach 2:
The system implements dynamic updating of object labels by detecting changes in sensor data and automatically relabeling objects when their identities or states change. This dynamic approach allows the environmental representation to adapt continuously without requiring complete system redesign, resolving the contradiction between maintaining accuracy and managing complexity.
2Reliability
If the agent's understanding of environment changes continuously during travel, then more accurate real-time information is available, but it becomes extremely difficult to store updated information and implement it in decision-making
Solution Approach 1:
The patent establishes a pre-defined labeling framework with unique object identifiers and structured data formats before actual environmental tracking begins. This preliminary structure enables rapid updating of object labels during operation, as the system only needs to fit new sensor data into the pre-established framework rather than creating structures in real-time, thus reducing processing time while maintaining reliability.
Solution Approach 2:
The system implements continuous feedback loops where sensor data is constantly compared against the existing environmental representation, and object labels are updated when discrepancies are detected. This feedback mechanism ensures real-time accuracy while optimizing processing time by only triggering updates when necessary, rather than continuously reconstructing the entire environmental model.
Data Source
AI summary
The method for dynamically updating an environmental representation of an autonomous agent can include: receiving a set of inputs S210; generating an environmental representation S220; and updating the environmental representation S230. Additionally or alternatively, the method S200 can include providing the environmental representation to a planning module S240 and/or any other suitable processes. The method S200 functions to generate and/or dynamically update an environmental representation to facilitate control of an autonomous agent.