Multi-Sensor Tracking Alignment for Occluded Open Environments
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Accurate tracking of individuals in large/open environments is challenging due to issues like crowd density and obstruction, with existing tracking systems having trade-offs in coverage, cost, and efficiency, especially in environments where precise location and activity tracking is desired.
Innovation Solution
A contextual tracking system that aggregates and communicates tracking data between multiple sensors (LIDAR, RFID, ToF, computer vision, and mmWave) to enhance tracking efficiency by providing contextual information for improved identification and filtering of objects, allowing for more granular tracking in open environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple separate tracking systems are used for different types of objects, then each object type can be tracked with specialized precision, but the system complexity and resource consumption increase significantly
Solution Approach 1:
The patent combines multiple separate tracking systems into a single unified tracking system that can handle different object types (aerial, surface, subsurface) through a common infrastructure. The system uses a single set of tracking servers, database servers, and communication protocols to manage all object types, eliminating the need for duplicate specialized systems while maintaining tracking precision through object-type-specific processing algorithms.
Solution Approach 2:
The unified tracking system is designed with multi-functionality to handle diverse object types including aerial vehicles, surface vessels, and subsurface objects. The system uses universal tracking servers and database structures that can process and store information for different object categories, with the ability to adapt to various tracking requirements through configurable parameters and object-type-specific processing rather than requiring separate dedicated systems.
2Reliability
If separate tracking systems are deployed for different object types, then each system can be optimized for its specific purpose, but the overall resource consumption and operational burden increase
Solution Approach 1:
The patent merges multiple tracking systems into a single unified system that shares common infrastructure resources including tracking servers, database servers, and communication channels. This consolidation reduces redundant resource consumption while maintaining tracking reliability through centralized coordination and shared data structures that serve all object types efficiently.
Solution Approach 2:
The unified system employs multi-functional tracking servers and database structures that can serve multiple object types simultaneously. The system allocates resources dynamically based on object type and tracking requirements, allowing a single set of infrastructure components to perform multiple tracking functions rather than requiring dedicated resources for each object category.
3Device complexity
If a unified tracking system is used for all object types, then system complexity and resource consumption are reduced, but the precision and reliability for specific object types may deteriorate
Solution Approach 1:
The unified tracking system implements segmentation by dividing the tracking process into object-type-specific processing stages. The system separates the handling of aerial objects, surface objects, and subsurface objects into distinct processing streams with specialized algorithms for each category, allowing precision-optimized processing within each segment while maintaining overall system unity and reduced complexity.
Solution Approach 2:
The system applies local quality by implementing object-type-specific tracking algorithms and parameters at the processing level while maintaining a unified infrastructure. Each object category receives customized processing attention with appropriate precision settings, data structures, and tracking methods tailored to its specific requirements, ensuring high tracking precision for each local object type within the global unified system.
Data Source
Figure 1
Figure 2
Figure 3~5
AI summary
Systems and methods are disclosed that provide contextual tracking information to tracking sensor systems to provide accurate and efficient object tracking. Contextual data of a first tracking sensor system is used to identify a tracked object of a second tracking sensor system.