Multi-Target Trajectory Decomposition for Intersecting Sensing Paths
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Solution Overview
Problem
Existing sensing technologies struggle to effectively identify and distinguish multiple target trajectories in complex environments where trajectories intersect, leading to difficulties in viewing and recognizing multiple targets accurately.
Innovation Solution
A multi-target trajectory decomposition observation method that involves acquiring sensing signals to determine location and energy values, displaying sensing points on a map, and decomposing motion trajectories based on these points to enhance visibility and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple target trajectories are displayed together on a map, then the visualization comprehensiveness is improved, but the trajectory recognition accuracy deteriorates due to intersections and overlaps
Solution Approach 1:
The patent applies segmentation by dividing multiple intersecting trajectories into separate display channels. Each trajectory is assigned to a different channel (e.g., different colors, layers, or visual groups), allowing them to be displayed simultaneously without visual confusion. This segmentation resolves the contradiction by maintaining comprehensive visualization while ensuring each trajectory remains independently recognizable and distinguishable from others.
2Measurement precision
If trajectory decomposition is applied, then the trajectory identification accuracy is improved, but the system complexity increases
Solution Approach 1:
The patent introduces an intermediary decomposition module that acts as a mediator between the raw multi-target trajectory data and the display system. This module automatically performs trajectory decomposition, assigning each trajectory to appropriate display channels based on predefined rules or algorithms. By introducing this intermediary layer, the system achieves high trajectory identification accuracy while shielding users from the underlying complexity of the decomposition process.
3Loss of information
If sensing points are displayed for all targets, then the information completeness is improved, but the visual clarity deteriorates due to overlapping points
Solution Approach 1:
The patent applies local quality by applying different display characteristics to sensing points based on their local context. When sensing points from different targets overlap or are in close proximity, the system adjusts their visual properties (such as color, size, or transparency) locally to ensure distinguishability. This allows all sensing points to be displayed completely while maintaining visual clarity through context-aware rendering adjustments.
Data Source
AI summary
A multi-target trajectory decomposition observation method, which includes: acquiring a sensing signal at a current moment, and sensing location information and signal energy values of respective targets of a plurality of targets based on the sensing signal at the current moment; displaying a plurality of sensing points of the respective targets on a map according to the location information and signal energy values of the respective targets; determining one or more motion trajectories based on the plurality of sensing points displayed on the map at the current moment and a plurality of historical sensing points displayed within a time period before the current moment, where each motion trajectory of the one or more motion trajectories is used to characterize a moving target of the plurality of targets; and decomposing sensed information of one or more moving targets of the plurality of targets that is sensed on one or more channels for outputting.