Navigation Trajectory Prediction via Directional Portion Segmentation
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Solution Overview
Problem
Current navigation systems lack an effective mechanism for predicting the movement of maneuverable objects, such as vehicles or drones, which is crucial for safe and efficient navigation, especially in complex environments.
Innovation Solution
A navigation system that determines detected information about a maneuverable object using a device, identifies a directional portion controlling its travel vector, and calculates an estimated trajectory profile based on this information to predict its movement, using a control circuit and storage circuit to store and process this data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional navigation systems are used without trajectory calculation mechanisms, then the system complexity is low, but the accuracy of predicting object movement is insufficient
Solution Approach 1:
The navigation system segments the maneuverable object into distinct components: propulsion portion and directional portion. By analyzing these segmented parts separately, the system can more accurately predict movement trajectories without requiring overly complex holistic models. The directional portion specifically controls the object travel vector, allowing focused analysis of directional changes.
Solution Approach 2:
The system performs preliminary calculation of estimated trajectory profiles before actual movement occurs. By using the detected directional portion information to pre-calculate potential trajectories, the navigation system can predict future positions and plan avoidance maneuvers in advance, improving prediction accuracy while maintaining manageable system complexity through proactive rather than reactive processing.
2Reliability
If detailed detected information is processed to identify directional portions, then the reliability of navigation is improved, but the processing time increases
Solution Approach 1:
The system extracts only the critical directional portion from the complete detected information about the maneuverable object. Instead of processing all detected data, it specifically identifies and isolates the directional portion that controls the object travel vector. This extraction approach maintains high reliability by focusing on the most relevant information while reducing overall processing time by eliminating unnecessary data analysis.
Solution Approach 2:
The system applies different processing quality levels to different parts of the detected information. The directional portion receives intensive processing to ensure accurate trajectory prediction, while other less critical aspects of the object data receive minimal or no processing. This local quality differentiation maintains navigation reliability where it matters most while minimizing overall processing time.
3Object-affected harmful factors
If real-time trajectory calculation is performed, then the ability to avoid collisions is improved, but the computational power required increases
Solution Approach 1:
The system performs partial trajectory calculation by focusing only on the directional portion's influence on movement rather than calculating all possible factors affecting the maneuverable object. This partial action approach provides sufficient collision avoidance capability by predicting the most likely trajectory based on directional control, while significantly reducing the computational power required compared to exhaustive analysis of all movement factors.
Solution Approach 2:
The estimated trajectory profile serves as an intermediary representation between raw detected information and collision avoidance decisions. Instead of directly processing complex real-time sensor data for collision prediction, the system first converts this data into an intermediate trajectory profile that encapsulates the predicted path. This intermediary form simplifies subsequent collision analysis and reduces the computational power needed for real-time safety decisions.
Data Source
AI summary
A method of operation of a navigation system includes: determining detected information for representing a maneuverable object detected using a device; identifying a directional portion based on the detected information for representing directional portion controlling an object travel vector of the maneuverable object; and calculating with a control circuit an estimated trajectory profile based on the directional portion for predicting movement of the maneuverable object.