LiDAR Depth Mapping for Adaptive Projection Surface Detection

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Solution Overview

Problem

Existing electronic apparatuses struggle to efficiently generate a depth map of a space using LiDAR sensors, particularly in varying environments and angles, limiting their adaptability and accuracy in identifying suitable projection surfaces.

Innovation Solution

The electronic apparatus employs a LiDAR sensor to sense a space at a predetermined angle, followed by sequentially changing its sensing direction to obtain multiple data sets, which are then used to generate a depth map including distance information, utilizing a processor to control the LiDAR sensor and integrate data from additional sensors like RGB sensors for enhanced accuracy.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If the LiDAR sensor uses a fixed sensing direction, then the device complexity is reduced, but the adaptability to varying environments and angles deteriorates

Engineering Contradiction:
Improvesensing mechanism complexityVSAvoidenvironmental adaptability
Core Design Contradiction:
Device complexityVSAdaptability or versatility

Solution Approach 1:

The patent implements a movable LiDAR sensor that can dynamically change its sensing direction through rotation mechanisms. The sensor is not fixed but can be positioned at different angles to adapt to various projection surfaces and environmental conditions, resolving the contradiction between device complexity and environmental adaptability.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The sensing process is divided into multiple discrete angular positions. The LiDAR sensor captures depth information at different angles sequentially, allowing the system to build a comprehensive depth map of the environment without requiring a continuously complex sensing mechanism.

Inventive Principle:
Principle #1Segmentation

2Measurement precision

If the LiDAR sensor captures data at multiple angles, then the measurement precision of the depth map is improved, but the loss of time increases

Engineering Contradiction:
Improvedepth map accuracyVSAvoidsensing time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The LiDAR sensor performs periodic scanning at multiple predetermined angles in a systematic sequence. This periodic action allows the sensor to efficiently capture depth information from different perspectives, improving depth map accuracy while managing the time required for sensing through structured, repeated measurements.

Inventive Principle:
Principle #19Periodic action

Solution Approach 2:

The system pre-determines the sensing angles and sequence before actual depth mapping begins. This preliminary planning optimizes the sensing path and reduces unnecessary measurements, thereby improving measurement precision while minimizing the total time required for depth map generation.

Inventive Principle:
Principle #10Preliminary action

3Adaptability or versatility

If the sensing direction is changed sequentially, then the adaptability to different projection surfaces is improved, but the productivity of depth map generation deteriorates

Engineering Contradiction:
Improveprojection surface adaptabilityVSAvoiddepth map generation speed
Core Design Contradiction:
Adaptability or versatilityVSProductivity

Solution Approach 1:

The LiDAR sensor dynamically adjusts its sensing direction to adapt to different projection surfaces such as walls, ceilings, and floors. The rotation mechanism allows the sensor to reposition itself for optimal viewing angles of various surfaces, enhancing projection surface adaptability while maintaining efficient depth map generation through automated positioning.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The LiDAR sensing system is designed to handle multiple types of projection surfaces universally. By implementing a multi-angle sensing capability, the same sensor can map depth information for walls, ceilings, floors, and other surfaces without requiring separate dedicated sensors, thus improving versatility while managing productivity through a unified sensing approach.

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

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

This approach enables the creation of a detailed depth map, allowing the apparatus to accurately identify suitable projection surfaces and adapt to varying environments, enhancing its usability and functionality.

Implementation Method 1

a LiDAR sensor, and at least one processor. The at least one processor may (a) based on occurrence of a predetermined event, control the LiDAR sensor to sense a space with a sensing direction of the LiDAR sensor corresponding to a predetermined angle

Methodology Applied
Scientific EffectLight reflection: Reflection

Implementation Method 2

obtain a depth map including distance information of the space based on the first sensing data and the plurality of second sensing data

Methodology Applied
Scientific EffectTime of flight: Time of Flight

Data Source

PatentUS20260036697A1Electronic apparatus and controlling method thereof
Publication Date: 2026.02.05 SAMSUNG ELECTRONICS CO LTD
  • US20260036697A1 patent drawing
  • US20260036697A1 patent drawing
  • US20260036697A1 patent drawing

AI summary

An electronic apparatus is disclosed. The electronic apparatus includes a LIDAR sensor, and at least one processor configured to (a) based on occurrence of a predetermined event, control the LiDAR sensor to sense a space with a sensing direction of the LiDAR sensor corresponding to a predetermined angle, so that the LiDAR sensor thereby obtains first sensing data, (b) after controlling the LiDAR sensor to sense the space with the sensing direction of the LIDAR sensor corresponding to the predetermined angle, control a sensing direction of the LiDAR sensor to be changed sequentially so that the LiDAR sensor thereby obtains a plurality of second sensing data respectfully corresponding to the sequentially changed sensing direction, and (c) obtain a depth map including distance information of the space based on the first sensing data and the plurality of second sensing data.