Hybrid Laser Scanner and Image Pickup Surveying System

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Solution Overview

Problem

Laser scanners face challenges in acquiring complete three-dimensional data due to occlusions and low reflectivity issues, leading to data gaps and the need for extensive efforts and time to move equipment for data collection, especially when measuring areas with obstacles or low reflectivity surfaces.

Innovation Solution

A surveying method that combines main point cloud data from a laser scanner with supplementary image data from an auxiliary image pickup device to create stereoscopic images, allowing for the acquisition of missing data points through matching and association of reference points, thereby filling data gaps without the need for additional measurement operations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If a laser scanner is used to acquire point cloud data, then large amounts of three-dimensional data can be obtained within short time, but data-lacking portions occur due to occlusions and low reflectivity

Engineering Contradiction:
Improvedata acquisition speedVSAvoiddata completeness
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The patent combines laser scanner point cloud data with image pickup device data to create a hybrid dataset. The image data fills in the data-lacking portions that the laser scanner cannot capture due to occlusions or low reflectivity, while maintaining the high-speed acquisition capability of the laser scanner for areas where it performs well.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The image pickup device acts as an intermediary to capture data in areas where the laser scanner fails. By using image data as a supplement, the system overcomes the limitations of laser reflection-based measurement without requiring additional laser scanning operations in difficult-to-measure areas.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Reliability

If the laser scanner is moved to acquire data of occlusion portions or upper surfaces, then complete point cloud data can be obtained, but tremendous efforts and long time are required

Engineering Contradiction:
Improvedata completenessVSAvoidsurveying operation time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The image pickup device captures data from multiple directions and positions in advance, including areas that would require physical relocation of the laser scanner to access. This preliminary capture of supplementary data eliminates the need for time-consuming repositioning operations later.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system creates a comprehensive data model by combining the primary laser scanner point cloud data with copied view data from the image pickup device. This copying approach allows data acquisition from multiple perspectives without physically moving the main surveying equipment.

Inventive Principle:
Principle #26Copying

3Reliability

If the laser scanner is moved to higher positions to acquire point cloud data on upper surfaces, then data on upper surfaces can be obtained, but large-scale equipment or tools must be installed

Engineering Contradiction:
Improvedata completenessVSAvoidequipment setup complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The image pickup device serves as an intermediary tool that can be positioned in locations difficult to reach with large-scale equipment. It captures images from elevated or hard-to-access positions without requiring scaffolds, elevators, or other complex support structures.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent replaces the mechanical system of physically moving and positioning the laser scanner on scaffolds or elevators with an optical system. The image pickup device captures data from multiple angles and positions using optical fields rather than requiring complex mechanical positioning infrastructure.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

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 the efficient and accurate acquisition of complete point cloud data without data gaps, reducing the time and effort required for data collection by visually identifying and filling in missing data areas using image matching and stereoscopic image processing.

Implementation Method 1

A laser scanner is a surveying system for projecting a pulsed laser beam to a predetermined measurement area, for receiving a reflected light of the pulsed laser beam to measure three-dimensional position data at a projecting point of the pulsed laser beam for each pulse

Methodology Applied
Scientific EffectLight reflection: Reflection

Implementation Method 2

an auxiliary image pickup device being separated from the laser scanner and being able to acquire a supplementary image data of a range with no data acquired

Methodology Applied
Scientific EffectLight reflection: Reflection

Data Source

PatentUS8045762B2Surveying method, surveying system and surveying data processing program
Publication Date: 2011.10.25 TOPCON CORPORATION
  • US8045762B2 patent drawing
  • US8045762B2 patent drawing
  • US8045762B2 patent drawing

AI summary

There are provided a step of acquiring a main point cloud data on a predetermined measurement range by a laser scanner, a step of detecting a range with no data acquired, a step of acquiring a supplementary image data of the range with no data acquired by an auxiliary image pickup device, a step of preparing a stereoscopic image based on the supplementary image data obtained by the auxiliary image pickup device, a step of acquiring supplementary point cloud data from the stereoscopic image, and a step of supplementing the range with no data acquired of the main point cloud data by matching of the main point cloud data and the supplementary point cloud data.