Utility Line Visualization Using LIDAR and AI-Based 3D Mapping
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Solution Overview
Problem
Existing technologies lack efficient systems for accurately visualizing proposed changes to homes, representing properties, viewing object placement, providing AI-based recommendations, visualizing landscape design, and generating accurate 3D models and navigation systems.
Innovation Solution
Utilizing LIDAR technology and AI to measure dimensions, build 3D models, and display modified representations, including machine learning algorithms for object placement recommendations and navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional measurement methods are used to capture home dimensions, then the process is simpler and requires less equipment, but the accuracy and precision of the 3D model are significantly reduced
Solution Approach 1:
The patent replaces traditional mechanical measurement tools (tape measures, manual surveying equipment) with LIDAR technology that uses laser light pulses to measure distances. The LIDAR camera emits laser pulses and measures the time of flight for the light to return, enabling rapid and precise capture of three-dimensional spatial data without physical contact with the measured objects.
Solution Approach 2:
The system transforms the measurement process by changing from manual dimensional input to automated optical parameter capture. The LIDAR technology measures multiple parameters simultaneously (distance, angle, reflectivity) and converts this data into accurate 3D coordinates, fundamentally improving measurement precision through parameter transformation rather than manual recording.
2Measurement precision
If detailed 3D models with high measurement precision are created, then the visualization accuracy improves, but the data processing time and computational resources increase
Solution Approach 1:
The system performs preliminary actions by capturing all necessary spatial data in a single scanning process before processing begins. The LIDAR camera collects complete three-dimensional point cloud data of the entire home environment in one operation, allowing subsequent processing to work with pre-organized data rather than requiring sequential measurements during processing.
Solution Approach 2:
The patent creates an accurate digital copy of the physical home environment through LIDAR scanning. The system generates a virtual 3D model that replicates the spatial relationships, dimensions, and features of the actual home, allowing multiple processing operations to be performed on the digital copy without affecting the original or requiring repeated physical measurements.
3Manufacturing precision
If LIDAR scanning is performed to capture accurate spatial data, then the 3D model precision improves, but the equipment cost and technical complexity increase
Solution Approach 1:
The LIDAR camera system is designed to perform multiple functions: capturing spatial data, measuring dimensions, creating 3D models, and generating floor plans all through a single device. This multi-functionality reduces the need for separate specialized equipment for each task, making the overall system more accessible despite the advanced technology involved.
Solution Approach 2:
The system performs self-service by automatically processing the raw LIDAR data into usable 3D models and visualizations without requiring manual intervention for measurement recording or model construction. The automated processing pipeline handles data cleaning, coordinate transformation, and model generation, reducing the need for highly specialized technical operators.
4Loss of information
If comprehensive LIDAR data collection is performed throughout the home, then the completeness of the 3D model improves, but the data storage requirements and processing complexity increase
Solution Approach 1:
The system extracts only the essential spatial information from the comprehensive LIDAR data cloud. Rather than storing and processing every single point captured during scanning, the system identifies and extracts key geometric features, wall positions, and structural elements needed for accurate 3D modeling, reducing data volume while maintaining model completeness.
Solution Approach 2:
The patent segments the home environment into distinct spatial zones and structural components during data processing. By dividing the comprehensive point cloud data into manageable segments corresponding to different rooms, walls, and features, the system can process and store data more efficiently while ensuring complete coverage of all spatial information.
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
Provides more accurate 3D models and navigation systems, enabling precise visualization of changes and object placement, and optimizing inventory management.
Implementation Method 1
LIDAR is a technology that measures distance to a target by illuminating the target (e.g., using laser light) and then measuring the reflected light with a sensor (e.g., measuring the time of flight from the laser signal source to its return to the sensor)
Implementation Method 2
LIDAR is a technology that measures distance to a target by illuminating the target (e.g., using laser light)
Data Source
AI summary
The following relates generally to light detection and ranging (LIDAR) and artificial intelligence (AI). In some embodiments, a system: receives light detection and ranging (LIDAR) data generated from a LIDAR camera; receives preexisting utility line data; and determines a location of the utility line based upon: (i) the received LIDAR data, and (ii) the received preexisting utility line data.