Spatial-Temporal Sensor Fusion for 3D Perception in Complex Scenes
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Solution Overview
Problem
Current environment sensing models lack robustness and accuracy due to reliance on single data processing methods that do not utilize three-dimensional and four-dimensional spatial-temporal relationship analysis, leading to insufficient information and difficulty in processing complex scenes, especially in applications requiring high accuracy and adaptability like humanoid robots and unmanned vehicles.
Innovation Solution
An artificial intelligence system utilizing spatial-temporal information pairs, incorporating paired vision, auditory, and olfactory acquisition devices to capture and process multi-dimensional data in real-time, forming stereo pairs and integrating time-based indexing for comprehensive data fusion and analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If single data processing method is used, then device complexity is reduced, but measurement precision and reliability deteriorate due to insufficient information
Solution Approach 1:
The patent transitions from processing single two-dimensional images to processing paired three-dimensional spatial-temporal information (x, y, z coordinates with time dimension). This dimensional expansion enables the system to capture depth information and temporal changes, significantly improving measurement precision and sensing accuracy in complex environments.
Solution Approach 2:
The patent combines multiple types of sensing data (visual, auditory, olfactory) into a composite spatial-temporal information pair. This composite approach integrates complementary information from different modalities, enhancing the system's ability to accurately perceive and analyze complex environmental scenes while maintaining robustness.
2Device complexity
If single two-dimensional image is used, then device complexity is reduced, but measurement precision deteriorates due to lack of depth information
Solution Approach 1:
The patent employs paired vision acquisition devices to capture three-dimensional spatial information (x, y, z coordinates) instead of single two-dimensional images. This dimensional transition provides depth information and enables accurate spatial localization, significantly improving depth perception accuracy while maintaining reasonable system complexity.
3Device complexity
If single visual information is used, then device complexity is reduced, but reliability deteriorates due to inability to capture object variations from different perspectives
Solution Approach 1:
The patent uses paired vision acquisition devices positioned at different spatial locations to capture the same target from multiple perspectives simultaneously. This multi-perspective approach enables the system to comprehend target objects comprehensively, reducing identification errors and improving reliability in complex environments.
Solution Approach 2:
The system processes spatial-temporal information pairs that include temporal dimension, enabling continuous monitoring and feedback on target object changes. This feedback mechanism allows the system to track and adapt to object variations over time, enhancing target identification accuracy and reliability.
4Device complexity
If single sensing mode is used, then device complexity is reduced, but adaptability deteriorates in complex environments requiring high accuracy
Solution Approach 1:
The patent creates a multi-functional sensing system that processes multiple types of spatial-temporal information pairs (visual, auditory, olfactory) through a unified data processing framework. This universal approach enables the system to adapt to various environmental conditions and application scenarios, significantly enhancing versatility and environmental adaptation capability.
Data Source
AI summary
An artificial intelligence system based on spatial-temporal information pairs is provided by the present disclosure. By integrally deploying paired vision, auditory and olfactory acquisition devices, a device that can collect the data within a 720-degree area is constructed, and the multi-dimensional continuous spatial-temporal information pairs such as positions, morphologies, motion states, sounds and odors from the ambient environment of the acquisition device or a same spatial object in the environment are recorded in real time. These information pairs can not only contain spatial relationships and a clock attribute, but also contain rich label attributes, for example, identifiers of acquisition devices, and a name, a category and a behavior pattern of the spatial object.