Mobile Body Road Type Recognition Using Bicycle Marks
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Solution Overview
Problem
Existing motor-driven vehicle traveling support devices cannot accurately recognize the type of road in a region of interest, which prevents them from controlling the vehicle accordingly.
Innovation Solution
A control device for a mobile object that includes a road type recognition unit capable of identifying whether a region of interest is a roadway or a sidewalk based on detected bicycle marks, directions, signs, and road widths, and a control unit that adjusts the mobile object's mode and speed accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a motor-driven vehicle traveling support device uses basic image detection to identify roads, then the device structure remains simple, but the device cannot recognize road types (roadway or sidewalk) accurately
Solution Approach 1:
The patent segments the road recognition task into multiple components: detecting bicycle marks, identifying boundary objects (curbstones, fences, guardrails, plantings, marking lines), measuring road widths, and determining directions. Each component is processed separately and then integrated to achieve accurate road type classification without requiring a single complex recognition system.
Solution Approach 2:
The detection device performs multiple functions using the same hardware: it detects bicycle marks, identifies boundary objects, measures road widths, and determines directions simultaneously. This multi-functional approach improves road type recognition accuracy without proportionally increasing device complexity.
2Measurement precision
If the device uses multiple parameters (bicycle mark direction, signs, road widths) to recognize road types, then recognition accuracy improves, but the processing complexity increases
Solution Approach 1:
The patent performs preliminary detection of all relevant parameters (bicycle marks, boundary objects, road widths, directions) before making the road type classification decision. By gathering all necessary information in advance, the system simplifies the final classification process and improves accuracy without excessive processing complexity during decision-making.
Solution Approach 2:
The patent uses boundary objects (curbstones, fences, guardrails, plantings, marking lines) as intermediary elements to distinguish between roadways and sidewalks. These physical intermediaries provide clear visual cues that simplify the recognition process and improve accuracy without requiring complex analysis of all road parameters simultaneously.
3Productivity
If the mobile object travels at high speed on roadways, then productivity is high, but safety is compromised when mistakenly entering sidewalks
Solution Approach 1:
The control device continuously monitors detected parameters (bicycle marks, boundary objects, road widths) and provides feedback to adjust the mobile object's speed. When the system identifies a sidewalk or uncertain road type, it automatically reduces speed to ensure safety, while maintaining higher speeds on confirmed roadways, thus balancing productivity and safety dynamically.
Data Source
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AI summary
A control device for a mobile object includes: a road type recognition unit configured to recognize whether a region of interest is a roadway or a sidewalk based on a bicycle mark used for guiding a passage of a bicycle and detected by a detection device that detects an external situation of a mobile object that is able to move in both the roadway and the sidewalk; and a control unit configured to control the mobile object based on a result of the recognition of the road type recognition unit.