Vehicle Obstacle Mapping With Detailed Position in Narrow Spaces
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Solution Overview
Problem
Conventional technologies for mobile objects, such as vehicles, struggle to control movement accurately due to the inability to determine the presence or absence of obstacles beyond a certain area size, leading to potential collisions and inefficient navigation.
Innovation Solution
An information processing device that generates map information indicating not only the presence or absence of obstacles but also their detailed positions, allowing for precise control of mobile object movement by setting areas to be avoided, thereby enhancing safety and reliability, especially in narrow spaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If obstacle detection is performed only in unit areas of a certain size, then the computation volume is reduced, but the movement control precision deteriorates
Solution Approach 1:
The detection area is divided into multiple unit areas, and obstacle detection is performed independently in each unit area. This segmentation allows the system to process information in manageable chunks while maintaining detailed spatial resolution, resolving the contradiction between computation efficiency and position precision.
Solution Approach 2:
The system applies different processing strategies to different unit areas based on local characteristics. By identifying obstacles at the unit area level rather than treating the entire detection area uniformly, the system achieves precise obstacle positioning while keeping computational requirements manageable through localized processing.
2Measurement precision
If detailed position information of obstacles is obtained, then movement control accuracy is improved, but the computation volume increases
Solution Approach 1:
The detection space is segmented into discrete unit areas, allowing the system to determine obstacle positions at the level of individual unit areas rather than requiring continuous high-precision measurements. This segmentation provides sufficient positional accuracy for movement control while significantly reducing computational complexity compared to continuous measurement approaches.
Data Source
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AI summary
An information processing device includes an obtaining unit (111) and a generating unit (112). The obtaining unit (111) obtain target information that indicates at least one of a distance to a target object or a position of the target object. The generating unit (112) generate, based on the target information, map information of a space including a plurality of areas, the map information indicating presence or absence of the target object in a first area included in the plurality of areas, and a detailed position of the target object in the first area.