Environment Map Resolution Switching for Efficient Action Planning
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Solution Overview
Problem
Creating high-accuracy action planning for autonomous movement of mobile objects requires detailed environment maps, which increases processing load and memory usage, and adding more sensors increases costs.
Innovation Solution
An information processing apparatus that analyzes sensor information to create map base data for updating environment maps, compensates for missing information by evaluating continuity, and switches between high-resolution and low-resolution maps based on the situation to reduce processing load and memory usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If detailed environment maps are created for high-accuracy action planning, then action planning accuracy is improved, but processing load and memory usage increase
Solution Approach 1:
The patent divides the environment map into multiple types: first environment maps with narrow ranges and high resolutions, and second environment maps with wide ranges and low resolutions. This segmentation allows the system to use high-resolution maps only when needed for accurate action planning, while using low-resolution maps for general navigation, thereby reducing overall processing load and memory usage while maintaining action planning accuracy when required
Solution Approach 2:
The patent applies different quality levels to different regions of the environment map. High-resolution data is maintained only for narrow, locally relevant areas where precise action planning is needed, while wider areas use lower resolution data. This local quality differentiation reduces the total data volume and processing requirements while preserving accuracy in critical zones
2Measurement precision
If more sensors are added to increase environment information quality, then environment map accuracy is improved, but costs increase
Solution Approach 1:
The patent dynamically adjusts the resolution and range of environment maps based on operational needs. The system switches between high-resolution narrow-range maps and low-resolution wide-range maps depending on the situation, allowing high-quality environment information to be obtained only when necessary, thereby reducing the need for continuous high-capacity sensor input while maintaining map accuracy
Solution Approach 2:
The patent changes parameters of the environment map (resolution, range, detail level) based on operational context rather than relying on fixed high-capacity sensors. By adjusting map parameters dynamically, the system achieves high environment information quality only when needed, reducing the requirement for numerous high-capacity sensors and thereby lowering costs
3Measurement precision
If high-resolution environment maps are used for all situations, then action planning accuracy is maintained, but processing efficiency decreases
Solution Approach 1:
The patent implements dynamic switching between different environment map types based on operational situations. High-resolution narrow-range maps are used only when accurate action planning is required, while low-resolution wide-range maps are used for general navigation and less critical operations. This dynamic adaptation maintains action planning accuracy when needed while significantly improving processing efficiency during routine operations
Data Source
AI summary
There is provided an information processing apparatus that can reduce the processing burden or the memory usage.An information processing apparatus includes: a sensor-information analysis unit configured to analyze sensor information and create map base data that is data used for updating an environment map including environment information; a map accumulation unit configured to hold the environment map and update the environment map on the basis of the map base data; and a map analysis unit configured to analyze the environment map and compensate for or correct the environment information in the environment map.