3D Map Route Search for Flexible Indoor Drone Delivery

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Solution Overview

Problem

Current marker-based drone delivery systems lack flexibility in destination setting and accuracy in route search, limiting their social implementation in the distribution industry.

Innovation Solution

An information processing apparatus and method that uses a 3D map generated by a client using SLAM (Simultaneous Localization and Mapping) to flexibly set destinations and accurately search for routes, enabling drones to navigate to specific locations, including indoors, by switching between GPS and 3D map-based search methods based on proximity.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If a marker-based delivery system is used, then the drone can detect the destination with a vision camera, but the destination cannot be set at a position other than the marker, limiting flexibility

Engineering Contradiction:
Improveflexibility of destination settingVSAvoidrequirement for marker installation
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent extracts the destination identification function from the physical marker and transfers it to a 3D map data structure. The 3D map contains coordinate information and image data that enable the drone to identify and navigate to any designated position without requiring physical markers at the destination.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent creates a digital copy of the physical environment through 3D mapping. This virtual 3D map serves as a replica that contains all necessary spatial information, allowing the drone to navigate using digital data rather than physical markers, thereby increasing destination setting flexibility.

Inventive Principle:
Principle #26Copying

2Measurement precision

If current route search techniques are used, then the drone can navigate to the destination, but the accuracy of route search has room for improvement

Engineering Contradiction:
Improveaccuracy of route searchVSAvoidreliance on GPS alone
Core Design Contradiction:
Measurement precisionVSLoss of information

Solution Approach 1:

The patent merges GPS-based navigation with 3D map-based route search. The system combines satellite positioning data with detailed 3D environmental models to create a more accurate and reliable routing system that overcomes the limitations of GPS alone, especially in areas with poor satellite signal or dynamic obstacles.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The 3D map acts as an intermediary between the GPS system and the drone's navigation. It provides detailed spatial information and route planning capabilities that bridge the gap between coarse GPS positioning and precise destination navigation, improving overall route search accuracy.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Adaptability or versatility

If GPS-based navigation is used, then the drone can navigate outdoors, but it cannot accurately navigate indoors or in areas with poor GPS signal

Engineering Contradiction:
Improvenavigation capability in various environmentsVSAvoidnavigation reliability in indoor environments
Core Design Contradiction:
Adaptability or versatilityVSReliability

Solution Approach 1:

The patent creates a universal navigation system that functions across multiple environments (outdoor and indoor). The 3D map-based approach serves as a multi-functional solution that works both as a supplement to GPS outdoors and as a primary navigation method indoors, eliminating the need for environment-specific navigation systems.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS20240345592A1Information processing apparatus, information processing method, and program
Publication Date: 2024.10.17 SONY GROUP CORP
  • US20240345592A1 patent drawing
  • US20240345592A1 patent drawing
  • US20240345592A1 patent drawing

AI summary

An information processing apparatus (MB) includes a processor (PRM). The processor (PRM) searches for a route to a destination using the 3D map of surroundings of the destination generated by the client (CL) using SLAM.