3D Map Data Generation Using Onboard Vehicle Sensors

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Existing methods for creating or updating three-dimensional map data for navigation systems are time-consuming and costly, requiring specialized equipment and professional expertise.

Innovation Solution

An apparatus and method that utilize sensor data from a vehicle, such as data from cameras, lidar, radar, or ultrasonic sensors, to generate three-dimensional map data. This involves classifying and storing sensor data, estimating object shapes, and generating three-dimensional modeling and position data to create navigable map data.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If professional experts process collected information to create or update map information using a mobile mapping system, then the quality and accuracy of map data is improved, but the time and cost required to generate map data increases significantly

Engineering Contradiction:

Improvemap data qualityVSAvoidtime to generate map data

Core Design Contradiction:

Manufacturing precisionVSLoss of time

Solution Approach 1:

The system enables vehicles to automatically generate and update their own map data using onboard sensors (camera, lidar, radar, ultrasonic sensors) without requiring external mobile mapping systems or professional processing. The vehicle collects sensor data, identifies surrounding objects, estimates their shapes, and generates three-dimensional map data autonomously, making the system self-sufficient for map creation and updates

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces the mechanical/professional expert processing system with an automated computational system. Instead of manual data collection and processing by specialists, the system uses sensor data processing algorithms to automatically extract object information, estimate shapes, and generate three-dimensional map data, substituting human expertise with automated image processing and shape estimation techniques

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Reliability

If professional experts process collected information to create or update map information, then the accuracy and reliability of map data is improved, but the cost of generating map data increases significantly

Engineering Contradiction:

Improvemap data reliabilityVSAvoidcost to generate map data

Core Design Contradiction:

ReliabilityVSEase of manufacture

Solution Approach 1:

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent utilizes commonly available, relatively inexpensive sensor equipment already present in modern vehicles (cameras, lidars, radars, ultrasonic sensors) rather than requiring expensive specialized mobile mapping systems. This approach uses affordable, mass-produced sensing components to achieve reliable map data generation

Inventive Principle:

Principle #27Cheap short-living objects (Disposable)

3Measurement precision

If a mobile mapping system with specialized equipment is used to collect data, then the quality of collected information is improved, but the device complexity and cost increase

Engineering Contradiction:

Improvesensor data qualityVSAvoiddata collection system complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system uses multi-functional sensor equipment already installed in vehicles for primary purposes (cameras for visibility, lidars for distance measurement, radars for speed detection, ultrasonic sensors for proximity detection) to also perform map data collection. These universal sensors serve multiple functions, eliminating the need for specialized single-purpose mapping equipment and reducing overall system complexity

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS20250139987A1Apparatus and method for generating three-dimensional map data

Publication Date: 2025.05.01 HYUNDAI AUTOEVER

AI summary

An apparatus for generating three-dimensional map data includes a communication interface and a processor connected to the communication interface. The processor collects sensor data related to surrounding objects from a vehicle by means of the communication interface, classifies the collected sensor data for each object, stores the sensor data classified for each object, generates three-dimensional modeling data and position data for each object based on the sensor data classified for each object, and generates three-dimensional map data for navigation based on the three-dimensional modeling data and the position data generated for each object.