3D Point Cloud Proximity Detection for Moving Construction Objects
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Solution Overview
Problem
Existing technologies are unable to detect the proximity of a moving object, such as a utility pole during construction, to other obstacles in real time, posing a risk of collision.
Innovation Solution
An obstacle proximity detection device that acquires three-dimensional point cloud data using a laser scanner, specifies object and obstacle data, sets detection areas, and outputs alerts when these areas overlap or a threshold of point data is exceeded, allowing real-time proximity detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If three-dimensional point cloud data is acquired and analyzed using existing techniques, then the facilities and structures around a road can be detected, but real-time proximity detection between moving objects and obstacles is not possible
Solution Approach 1:
The patent applies dynamics by making the detection area movable rather than fixed. The first detection area moves according to the movement of the object (e.g., utility pole) being constructed, allowing the system to track and monitor moving objects in real-time. This dynamic adjustment enables continuous proximity detection between moving objects and stationary obstacles, resolving the contradiction between detection accuracy and real-time capability.
2Ease of operation
If a fixed detection area is set for analyzing point cloud data, then the analysis process is simplified, but it cannot track moving objects during construction
Solution Approach 1:
The detection area is designed to dynamically follow the movement of the object being constructed. The first detection area is positioned around the object and moves together with it, maintaining a consistent monitoring zone. This approach keeps the operation simple by automatically tracking the object without requiring complex manual adjustments, while simultaneously providing adaptability to track moving objects throughout the construction process.
3Device complexity
If point cloud data is processed without real-time movement tracking, then processing complexity is reduced, but proximity detection between moving objects and obstacles cannot be achieved
Solution Approach 1:
The system implements dynamic tracking by moving the first detection area according to the object's movement. This approach maintains relatively simple processing by using a consistent detection framework that adapts to object movement, rather than requiring complete re-analysis of point cloud data. The reliable proximity detection is achieved by continuously monitoring the relationship between the moving first detection area and the stationary second detection area, ensuring accurate collision risk identification.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables real-time detection of proximity between moving objects and obstacles, preventing collisions by alerting workers to potential hazards.
Implementation Method 1
an acquisition unit configured to sequentially acquire three-dimensional point cloud data representing an outdoor structure acquired by a three-dimensional laser scanner
Data Source
AI summary
An obstacle proximity detection device includes: an acquisition unit configured to sequentially acquire three-dimensional point cloud data representing an outdoor structure acquired by a three-dimensional laser scanner; a specifying unit configured to specify first point cloud data representing an object and second point cloud data representing an obstacle from the three-dimensional point cloud data; a setting unit configured to set a first detection area that is an area set in advance by a user and is an area around the first point cloud data; a moving unit configured to move, on the basis of a feature point extracted from the first point cloud data, the first point cloud data and the first detection area according to movement of the feature point; and an output unit configured to output an alert indicating proximity between the object and the obstacle in a case where a part of the first detection area overlaps with a part of a second detection area that is an area around the second point cloud data, or in a case where the number of pieces of point data of the first point cloud data existing in the second detection area is equal to or larger than a predetermined threshold.