Mobile Object Trajectory Control Using Braille Block Recognition
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Solution Overview
Problem
Existing mobile object control systems fail to navigate through appropriate positions effectively, particularly in the presence of pedestrians, due to limitations in recognizing and responding to road structures and support information like Braille blocks.
Innovation Solution
A mobile object control system that uses image recognition to determine trajectories based on support information such as Braille blocks and road structures, adjusting its movement to avoid pedestrians and navigate safely by decelerating or stopping at warning blocks, and resuming movement when conditions are safe.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the mobile object uses image recognition to navigate based on road structures only, then the navigation can be implemented without specialized markers, but the mobile object cannot navigate through appropriate positions near pedestrians effectively
Solution Approach 1:
The navigation system is segmented into two complementary components: road structure recognition for general path determination and Braille block recognition for localized pedestrian area identification. This segmentation allows the system to handle different navigation scenarios appropriately, resolving the contradiction between general navigability and specific safety requirements.
Solution Approach 2:
Braille blocks serve as intermediary markers that mediate between the mobile object and pedestrians. These markers provide explicit information about pedestrian presence and preferred movement paths, enabling the mobile object to navigate safely near pedestrians without requiring direct detection or complex interaction with the pedestrians themselves.
2Reliability
If the mobile object decelerates or stops at warning blocks to ensure pedestrian safety, then the safety near pedestrians is improved, but the travel time increases
Solution Approach 1:
The system performs preliminary recognition of Braille blocks and warning blocks in advance, allowing the mobile object to plan its deceleration or stopping actions beforehand. This preliminary action enables smooth, predictable behavior that minimizes unnecessary delays while ensuring safety requirements are met.
Solution Approach 2:
The mobile object's movement behavior is made dynamic based on real-time recognition results. When warning blocks are detected, the system dynamically adjusts speed or stops; when only guidance blocks are present, the system maintains normal speed. This dynamic adaptation resolves the contradiction by applying safety measures only when and where necessary.
3Measurement precision
If the mobile object recognizes both support information and road structure, then the navigation accuracy through appropriate positions is improved, but the system complexity increases
Solution Approach 1:
The image recognition system is designed with multi-functionality to detect both Braille blocks and road structures using the same hardware and processing framework. This universal approach avoids the need for separate specialized systems, reducing overall complexity while maintaining high navigation accuracy through comprehensive information recognition.
Data Source
AI summary
A mobile object control system includes: a storage device configured to store instructions; and one or more processors, wherein the one or more processors execute the instructions stored in the storage device to: acquire an image in which a road where a mobile object is present is imaged; recognize support information for supporting movement of a specific traffic participant who is a traffic participant having a predetermined attribute appearing on a road surface included in the image; recognize a road structure included in the image or a road structure which is a structure provided on the road; move the mobile object at least based on a trajectory determined using the support information when the support information is recognized; and move the mobile object based on a trajectory determined using the road structure without using the support information when the support information has not been recognized.