Vehicle Route Memory Filtering for Surrounding Environment Data
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Solution Overview
Problem
The existing vehicle control devices for automatic drive and parking assistance systems face increased manufacturing costs due to the large data size of surrounding environment information, which requires significant memory storage, especially when using image recognition, ultrasonic, and millimeter-wave radar technologies.
Innovation Solution
A vehicle control device with a processor and two storage units that calculates the feature degree of surrounding environment information and temporarily stores only information with a high feature degree, reducing the data size stored in memory by determining a predetermined value based on the vehicle's travel state.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If surrounding environment information including object information and road surface information is stored as image data for automatic drive or parking assistance, then the position accuracy and guidance reliability are improved, but the data size increases enormously leading to increased manufacturing cost
Solution Approach 1:
The patent extracts only the essential features from surrounding environment information (object position, shape, size, road surface markings) rather than storing complete image data. This extraction process retains the information needed for accurate position specification and vehicle guidance while dramatically reducing the data storage requirements, thereby lowering manufacturing costs.
Solution Approach 2:
The patent applies different levels of information detail to different elements of the surrounding environment based on their importance for navigation. Critical elements like object positions and road surface markings are stored with precise coordinates and essential attributes, while less critical visual details are omitted or simplified, achieving optimal balance between accuracy and storage efficiency.
2Measurement precision
If complete surrounding environment information is stored in memory for route guidance, then the vehicle guidance accuracy is improved, but the memory storage capacity requirements increase leading to higher device complexity
Solution Approach 1:
The system extracts only the necessary positional and essential attribute information from the surrounding environment (object locations, shapes, sizes, and road surface marking positions) rather than storing complete image datasets. This extraction maintains sufficient accuracy for vehicle position specification and guidance while reducing memory storage capacity requirements.
Solution Approach 2:
The surrounding environment information is segmented into discrete, essential elements (individual objects with position/shape/size attributes, road surface markings with position information) rather than storing continuous image data. This segmentation enables efficient storage and processing while maintaining the precision needed for accurate vehicle position specification.
Data Source
AI summary
An object is to reduce the data size of surrounding environment information to be stored. A vehicle control device that includes a processor, a first storage unit, and a second storage unit, and stores route information to a target point, the vehicle control device including: an input device that acquires route information of a vehicle and surrounding environment information around the vehicle; and a short-term storage information processing unit that stores the route information and the surrounding environment information acquired while the vehicle is traveling into the first storage unit as short-term storage information, in which the short-term storage information processing unit calculates a feature degree of the surrounding environment information when storing the route information, and temporarily stores the surrounding environment information in which the feature degree is equal to or greater than a predetermined value into the first storage unit as the short-term storage information.