Vehicle Control System Using Image Recognition for Occupant-Specific Commands
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Solution Overview
Problem
Existing vehicle control systems for autonomous driving do not account for information associated with the vehicle or its occupants, limiting their ability to perform control operations based on specific vehicle or passenger-related criteria.
Innovation Solution
A control system that includes an image acquisition unit, a controlled object determination unit, and an output unit to analyze images from cameras and determine vehicles or occupants that meet predetermined conditions, allowing for targeted control commands to be sent to vehicles for actions such as navigation or intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image recognition technology is introduced to identify vehicles or occupants, then control precision based on vehicle or occupant information is improved, but device complexity increases
Solution Approach 1:
The patent introduces an image recognition system as an intermediary component that processes visual information about vehicles and occupants, then transmits identified characteristics to the control system. This mediator enables precise vehicle/occupant-specific control without requiring direct complex integration between cameras and control units, thus improving measurement precision while managing device complexity through modular architecture
Solution Approach 2:
The patent replaces traditional mechanical or manual identification methods with optical image recognition technology. Instead of physical tags, buttons, or manual input systems for identifying vehicle or occupant characteristics, the system uses camera-based visual recognition to automatically detect and analyze features, thereby improving control precision based on identified characteristics without adding mechanical complexity
2Ease of operation
If control is limited to merging operations only, then ease of operation is improved, but adaptability deteriorates
Solution Approach 1:
The patent extends the control system's functionality beyond merging operations to include multiple vehicle control operations such as lane changes, stops, turns, and emergency maneuvers. The same image recognition and identification framework is used across all these different operations, allowing the system to adapt to various control scenarios while maintaining a unified, easy-to-operate interface through standardized command structures
Data Source
AI summary
According the present invention, there is provided a control system (10) that includes an image acquisition unit (11) that acquires an image generated by a camera, a controlled object determination unit (12) that analyzes the image and determines at least one of a vehicle that satisfies a predetermined condition and a vehicle in which a predetermined person is riding included in the image, as a vehicle to be controlled, a control content decision unit (13) that decides a control content for the vehicle to be controlled, and an output unit (14) that outputs a control command including the control content to the vehicle to be controlled.