Vehicle Route Storage Control for Reduced Nonvolatile Memory
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Solution Overview
Problem
The existing vehicle controllers require large nonvolatile memory capacity to store precise route information for autonomous driving and parking assist systems, leading to increased manufacturing costs due to the large data size of route information collected over short distances.
Innovation Solution
A vehicle controller that includes a processor, a first storage unit for short-term storage, and a second storage unit for long-term storage, where route information is processed to extract only high-feature-level data after reaching the target point, minimizing noise and reducing data size by storing only essential information in the nonvolatile memory.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If route information is stored with high precision and at short cycles to ensure accurate autonomous driving guidance, then the reliability and accuracy of the routing system is improved, but the data size increases enormously leading to higher manufacturing costs
Solution Approach 1:
The patent extracts and stores only essential route information points (turning points, intersection points, branching points) rather than all acquired route data. This selective extraction maintains navigation accuracy while dramatically reducing the data volume stored in nonvolatile memory, thereby lowering manufacturing costs for high-capacity storage devices.
Solution Approach 2:
The patent applies different storage strategies to different types of route information points. Critical points such as turning points, intersections, and branching points are stored with high precision in nonvolatile memory, while intermediate points use reduced precision or are stored temporarily in volatile memory only, optimizing the balance between accuracy and storage requirements.
2Reliability
If all acquired route information is stored in nonvolatile memory to ensure complete data availability, then the reliability of the system is improved, but the data size becomes enormous requiring larger and more expensive memory capacity
Solution Approach 1:
The patent segments route information into two categories: essential points (turning points, intersections, branching points) that are permanently stored in nonvolatile memory, and intermediate points that are stored temporarily in volatile memory or processed in real-time. This segmentation reduces the quantity of data requiring permanent storage while maintaining system reliability.
Solution Approach 2:
The patent discards redundant or less critical route information after it has served its immediate navigation purpose, recovering storage space in nonvolatile memory. Less critical data may be stored temporarily in volatile memory during active navigation and then discarded, allowing the system to maintain reliability during operation while minimizing permanent storage requirements.
Data Source
AI summary
A route information storage function having decreased data storage requirements is provided in a vehicle controller that includes a processor, a first storage unit, and a second storage unit and that stores route information indicating a route to a target point. The vehicle controller includes a traveling state acquiring unit that acquires route information on a vehicle, a short-term storage information processing unit that stores the route information in the first storage unit, as short-term storage information, the route information being acquired by the traveling state acquiring unit while the vehicle is traveling, and a long-term storage information processing unit that after the vehicle has reached the target point, determines long-term storage information from short-term storage information stored in the first storage unit, the long-term storage information processing unit storing the determined long-term storage information in the second storage unit.