Dual-Model Vehicle Control Using Auxiliary Sensor Reasoning
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Solution Overview
Problem
Existing self-driving technologies face challenges in efficiently processing large amounts of information and performing calculations within limited time frames, which can hinder vehicle control.
Innovation Solution
A dual-system approach involving a Navigator model unit for comprehensive, long-term information processing and a Driver model unit for high-speed, lightweight operations, where the Navigator model unit generates auxiliary information for the Driver model unit to facilitate efficient and accurate vehicle control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single system processes all sensor information and generates control information, then comprehensive control accuracy is improved, but processing time increases and real-time response deteriorates
Solution Approach 1:
The system is divided into two independent systems: the first system processes sensor information to generate auxiliary information including reasons for determination, while the second system uses this auxiliary information along with partial sensor information to generate control information. This segmentation allows each system to focus on specific processing tasks, improving overall processing efficiency while maintaining comprehensive control accuracy.
Solution Approach 2:
The first system performs preliminary processing by generating auxiliary information that includes the reasons for determination before the second system generates control information. This preliminary action allows the second system to make faster decisions by already having the rationale prepared, thus reducing overall processing time while maintaining accuracy.
2Device complexity
If a single system generates both auxiliary information and control information, then system complexity is reduced, but information processing completeness deteriorates
Solution Approach 1:
The system is divided into two independent systems: the first system processes sensor information to generate auxiliary information including reasons for determination, while the second system uses this auxiliary information along with partial sensor information to generate control information. This segmentation allows each system to focus on specific processing tasks, improving overall processing efficiency while maintaining comprehensive control accuracy.
Solution Approach 2:
The auxiliary information generated by the first system serves as an intermediary that bridges sensor information and control information. This intermediary contains the reasons for determination and helps the second system make more informed decisions, ensuring information processing completeness while maintaining manageable system complexity.
3Measurement precision
If the first system outputs auxiliary information with detailed reasons for determination, then control accuracy is improved, but communication data volume increases
Solution Approach 1:
The first system extracts only the essential auxiliary information including reasons for determination from the full sensor information set. This extraction process provides the second system with the necessary contextual understanding for accurate control decisions without transmitting the entire raw sensor data set, thus balancing accuracy with communication efficiency.
4Loss of information
If the first system processes all sensor information, then information processing completeness is improved, but processing speed deteriorates
Solution Approach 1:
The system is divided into two independent systems: the first system processes sensor information to generate auxiliary information including reasons for determination, while the second system uses this auxiliary information along with partial sensor information to generate control information. This segmentation allows each system to focus on specific processing tasks, improving overall processing efficiency while maintaining comprehensive control accuracy.
Solution Approach 2:
The first system performs preliminary processing by generating auxiliary information that includes the reasons for determination before the second system generates control information. This preliminary action allows the second system to make faster decisions by already having the rationale prepared, thus reducing overall processing time while maintaining accuracy.
Data Source
AI summary
An information processing apparatus including a first system having first acquisition circuitry and first output circuitry and a second system having second acquisition circuitry, third acquisition circuitry, and second output circuitry. The first acquisition circuitry may acquire sensor information regarding an environment of a predetermined mobile object by at least one or more sensors installed in the mobile object. Also, the first output circuitry may output auxiliary information for assisting determination of control information for controlling an action of the mobile object. Further, the second acquisition circuitry may acquire partial sensor information from at least one sensor of the one or more sensors, the third acquisition circuitry may acquire the auxiliary information output by the first output circuitry, and the second output circuitry may output control information, using at least part of the partial sensor information or the auxiliary information.