Mobile Object Control for Closer Reference Object Detection
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Solution Overview
Problem
Conventional control systems for single riding electric vehicles fail to accurately detect objects in their vicinity, particularly when traveling on sidewalks or other non-traditional pathways.
Innovation Solution
A control device and method that utilize a processor and object recognition system to detect reference objects and accompanying objects, allowing the vehicle to adjust its travel path to improve object detection accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the mobile object maintains a standard traveling distance from detected objects, then collision avoidance is achieved, but object detection accuracy deteriorates when objects are far away
Solution Approach 1:
The mobile object dynamically adjusts its distance to the detected object based on object type and characteristics. Instead of maintaining a fixed safe distance, the system varies the approach distance dynamically - moving closer to certain objects to improve detection accuracy while maintaining safety margins for others. This dynamic distance adjustment resolves the contradiction between collision avoidance and detection accuracy.
Solution Approach 2:
The system changes the spatial parameter (distance to object) based on detected object characteristics. When an object is detected, the mobile object modifies its traveling distance parameter dynamically - reducing distance for objects where closer inspection is safe and beneficial for detection, while maintaining larger distances for objects requiring more safety margin. This parameter change enables both accurate detection and collision avoidance.
2Measurement precision
If the mobile object moves closer to detected objects, then object detection accuracy improves, but collision risk increases
Solution Approach 1:
The mobile object applies different distance adjustment strategies to different detected objects based on their local characteristics. Instead of using a uniform safety distance for all objects, the system evaluates each object's properties (type, size, mobility, environmental context) and adjusts the approach distance locally for each object. This enables closer inspection of safe objects while maintaining larger safety margins for risky objects.
Solution Approach 2:
The system dynamically adjusts the traveling distance based on real-time object assessment. When an object is detected, the mobile object evaluates whether moving closer is safe and beneficial, then dynamically modifies its distance parameter accordingly. This dynamic adjustment allows the system to optimize detection accuracy for each specific situation while maintaining collision avoidance through continuous safety evaluation.
3Productivity
If the mobile object travels in a straight line, then travel efficiency is maximized, but detection of objects off the direct path is reduced
Solution Approach 1:
The mobile object performs preliminary detection along its straight travel path, identifies objects of interest, and then executes targeted distance adjustments toward those specific objects. Instead of deviating from the straight path for every detected object, the system预先 identifies which objects warrant closer inspection and adjusts distance selectively toward those targets while maintaining overall travel efficiency.
Solution Approach 2:
The mobile object dynamically modifies its trajectory and distance parameters based on detected objects while maintaining overall straight-line progress. The system adjusts its path dynamically - making localized distance adjustments toward specific objects of interest while continuing along the general straight course. This dynamic path adjustment balances travel efficiency with enhanced detection of relevant objects.
Data Source
AI summary
A control device mounted on a mobile object acquires surrounding situation information indicating a surrounding situation of a mobile object recognized by an object recognition device mounted on the mobile object, detects a predetermined reference object present in a traveling direction of the mobile object on the basis of the surrounding situation information, identifies a travelable area of the mobile object on the basis of the surrounding situation information, controls traveling of the mobile object such that the mobile object travels in the travelable area, causes the mobile object to move closer to the reference object when the reference object is detected, and detects an accompanying object accompanying the reference object on the basis of the surrounding situation information recognized by the object recognition device after the mobile object moves closer to the reference object, and identifying the travelable area by excluding the reference object and the accompanying object.


