Mobile Object Control for Reference-Based Obstacle Detection
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Solution Overview
Problem
Conventional single riding electric vehicles lack sufficient consideration for object detection in their vicinity, leading to potential collisions with undetected objects.
Innovation Solution
A control device and method that utilize a processor to acquire surrounding situation information, detect reference objects, identify travelable areas, and control the vehicle to move closer to reference objects, thereby enhancing object detection accuracy by excluding detected objects from the travelable area.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the mobile object maintains a distance from detected objects, then collision risk is reduced, but object detection accuracy deteriorates
Solution Approach 1:
The mobile object proactively moves closer to reference objects before detection is required, positioning itself in advance to enable better detection of accompanying objects that would otherwise be undetectable from a distance
Solution Approach 2:
Reference objects serve as intermediaries that facilitate the detection of accompanying objects. By moving closer to reference objects, the system uses them as reference points to identify and detect accompanying objects that are otherwise difficult to detect
2Measurement precision
If the mobile object moves closer to reference objects, then object detection accuracy is improved, but collision risk increases
Solution Approach 1:
The system continuously monitors the position of reference objects and accompanying objects, and dynamically adjusts the mobile object's position based on detection results. When accompanying objects are detected, the system provides feedback to modify the travelable area and prevent movement into hazardous zones
Solution Approach 2:
The travelable area is dynamically adjusted based on the detected position of accompanying objects. The system continuously updates the safe travel region by excluding areas where accompanying objects are detected, making the collision avoidance adaptive rather than static
3Reliability
If the mobile object travels in a restricted travelable area, then collision avoidance is improved, but traveling efficiency deteriorates
Solution Approach 1:
The travelable area is dynamically adjusted based on real-time detection of accompanying objects. When no accompanying objects are present, the travelable area is expanded to improve efficiency. When accompanying objects are detected, the area is restricted only in the specific regions where hazards exist, maintaining efficiency in safe areas
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.