Vehicle Control Using Unified Sensor Messages and Remote AI
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Solution Overview
Problem
Existing vehicle control systems rely solely on local data models, which are limited in information processing capability and sensor data utilization, failing to effectively manage complex driving scenarios.
Innovation Solution
A vehicle control method and system that transforms sensor information of different modalities into unified short-cycle and long-cycle message formats, utilizing a local data model and a remote data model to enhance real-time and predictive control through a first and second data model, respectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If a local data model is used for vehicle control, then the control response speed is fast, but the information processing capability is limited
Solution Approach 1:
The system divides the data model into two parts: a local data model for real-time control and a remote data model for complex information processing. The local model handles time-sensitive control tasks while the remote model processes complex sensor information, resolving the contradiction between response speed and processing capability.
Solution Approach 2:
A communication interface acts as an intermediary between the local and remote data models, enabling the local model to leverage the remote model's processing power while maintaining fast local response. The interface transmits necessary information between the two models without requiring the local model to handle all processing independently.
2Loss of information
If sensor information from multiple onboard devices is collected, then the information completeness is improved, but the information processing complexity increases
Solution Approach 1:
The system extracts the complex information processing function from the local vehicle control system and places it in a remote data model. The local system collects sensor information and transmits it to the remote model, which handles the complex processing of multi-source sensor data, reducing local processing complexity while maintaining information completeness.
3Adaptability or versatility
If a remote data model is introduced for enhanced processing, then the intelligent control capability is improved, but the system complexity increases
Solution Approach 1:
The remote data model serves multiple functions: processing sensor information, generating control commands, and providing predictive analysis. By consolidating these diverse functions in a single remote system, the patent improves intelligent control capability while managing overall system complexity through functional integration.
Data Source
AI summary
A vehicle control method includes obtaining sensor information of different modalities of different onboard devices of a vehicle, performing modality transformation on the sensor information to generate short-cycle message information of a unified modality, sending the short-cycle message information to a first data model at a remote end, generating long-cycle message information by a second data model configured at the vehicle based on the sensor information with the different modalities, sending the long-cycle message information to the first data model at the remote end, receiving the vehicle control information returned by the first data model at the remote end, and controlling the vehicle based on the vehicle control information. The short-cycle message information has better real-time performance than the long-cycle message information, and the long-cycle message information is used to trigger the first data model to generate vehicle control information.