Mobile Object Control Using Bicycle Marks for Road Type Recognition
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing motor-driven vehicle traveling support devices fail to accurately recognize the type of road in a region of interest, leading to inadequate control based on road type.
Innovation Solution
A control device for mobile objects that utilizes a road type recognition unit to identify whether a region of interest is a roadway or a sidewalk based on bicycle marks, signs, and other road features, and adjusts control settings accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a motor-driven vehicle traveling support device uses basic image recognition to detect road directions, then the device can detect travelable directions, but it cannot accurately recognize road types (roadway vs. sidewalk) in the region of interest
Solution Approach 1:
The recognition system is segmented into multiple specialized units: a bicycle mark recognition unit, a road width measurement unit, and a road type determination unit. Each unit handles a specific aspect of road type recognition, dividing the complex task into manageable components that can be processed independently and systematically
Solution Approach 2:
The system transitions from two-dimensional image recognition to three-dimensional spatial understanding by measuring road widths and analyzing the vertical relationships between bicycle marks, curbstones, and road surfaces. This dimensional expansion enables accurate differentiation between roadways and sidewalks based on spatial characteristics
2Measurement precision
If the system uses multiple recognition criteria (bicycle mark direction, road width, curbstones) to improve road type recognition accuracy, then recognition precision increases, but processing complexity and computational load increase
Solution Approach 1:
The system performs preliminary recognition of bicycle marks and their directions before proceeding to road type determination. By pre-identifying key features such as bicycle mark orientations and their positions relative to curbstones, the system prepares structured data that facilitates faster and more accurate road type classification in subsequent processing stages
Solution Approach 2:
The road type determination unit receives feedback from multiple sources including bicycle mark recognition results, road width measurements, and curbstone detection data. This multi-source feedback mechanism allows the system to continuously refine its road type judgments and adjust its processing focus based on the confidence levels and consistency of different recognition criteria
Data Source
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.