Vehicle Control Device Wind Risk Region Detection
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Solution Overview
Problem
Existing vehicle control systems fail to perform appropriate control based on the surrounding situation of the vehicle, particularly in windy conditions, as they rely solely on weather information databases and do not effectively account for the influence of wind on objects in the environment.
Innovation Solution
A method and device that utilize image capture to specify objects, their attributes, wind strength, and direction, setting a risk region based on these factors to control vehicle speed and steering, with consideration for weather information and object features, thereby enhancing vehicle control in varying environmental conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If weather information database is used to obtain wind speed information, then the control system can access wind data, but the system cannot perform appropriate control based on actual surrounding situation of the vehicle
Solution Approach 1:
The patent introduces an imager as an intermediary device to capture images of the vehicle's surrounding situation. This intermediary allows the system to indirectly observe and analyze wind effects on objects (such as tree branches, advertising billboards, or other environmental elements) rather than relying solely on database information, thereby bridging the gap between available data and actual conditions.
Solution Approach 2:
The patent replaces the traditional mechanical/database-based wind information acquisition system with an optical/image-based system. By using an imager to capture visual information and analyzing the deformation or movement of objects in the image, the system substitutes direct meteorological data with indirect visual observation and analysis.
2Productivity
If the system uses image capture to specify wind strength and direction, then the system can quickly identify surrounding situation, but the device complexity increases
Solution Approach 1:
The patent makes the imager serve multiple functions: it captures images for object detection, identifies wind strength and direction by analyzing object deformation, and provides visual information for risk region determination. This multi-functionality reduces the need for separate dedicated wind sensors and simplifies the overall system architecture.
Solution Approach 2:
The system uses the imager to capture images that simultaneously serve both as the input data source and as the analysis target. The same image data is used to detect objects and to assess wind effects on those objects, allowing the system to self-analyze without requiring separate measurement devices.
3Measurement precision
If risk region is set based on object attribute and wind information, then the control precision is improved, but the calculation complexity increases
Solution Approach 1:
The patent applies different risk assessment criteria to different regions and objects based on their specific attributes. Instead of using a uniform risk calculation method, the system tailors the risk region determination to local conditions such as object type, position, and wind susceptibility, thereby improving precision while managing complexity through localized rather than universal processing.
Data Source
AI summary
A method for controlling a vehicle including specifying an object, an attribute of the object, and the strength and direction of wind influencing the object based on an image captured by an imager imaging the surroundings of a vehicle, setting a risk region for the object based on the attribute of the object and the strength and the direction of the wind that are specified, and controlling a speed and steering of the vehicle based on the risk region set by the setter.