Multi-Sensor Collision Avoidance Visual Indicators
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Solution Overview
Problem
Conventional collision avoidance systems for aircraft are inadequate in presenting information to pilots regarding intruding targets detected by multiple disparate sensors, such as optical, acoustic, and radar systems, failing to clearly indicate which sensors are used, the accuracy of the data, whether the target is cooperative or non-cooperative, and the necessary collision avoidance maneuvers.
Innovation Solution
A collision avoidance system that receives data from multiple sensors, determines the position and nature of the target, and presents this information using visual indicators that identify the sensors providing the data and classify the target as cooperative or non-cooperative, along with recommended maneuvers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional collision avoidance systems use multiple disparate sensors to detect intruding targets, then the surveillance coverage and detection capability are improved, but the system's ability to present clear and actionable information to pilots deteriorates
Solution Approach 1:
The patent segments the information presentation by creating distinct visual symbols for different sensor types (radar, optical, acoustic) and different target types (cooperative, non-cooperative). Each sensor contribution is visually separated and identified, allowing pilots to understand which sensor detected which target, thereby maintaining information clarity while using multiple sensors for reliable surveillance
Solution Approach 2:
The patent introduces an intermediary processing layer that receives raw data from multiple disparate sensors, processes and correlates the information, and presents it in a unified, pilot-friendly format. This intermediary layer translates complex multi-sensor data into clear visual indicators showing target position, sensor source, and recommended maneuvers, resolving the contradiction between comprehensive surveillance and clear information presentation
2Reliability
If conventional collision avoidance systems detect non-cooperative traffic, then the surveillance capability is improved, but the pilot's ability to effectively respond to the threat deteriorates due to lack of clear guidance
Solution Approach 1:
The system provides self-service by automatically analyzing multi-sensor data to determine target characteristics (cooperative vs. non-cooperative), calculating collision risk, and generating specific maneuver recommendations without requiring pilot analysis. The system serves itself to process complex sensor fusion and present ready-to-action guidance, making non-cooperative target response as easy as cooperative target response
Solution Approach 2:
The patent changes the parameter of information presentation by providing different levels of detail and guidance based on target type. For non-cooperative targets, the system provides enhanced maneuver recommendations and visual indicators compared to cooperative targets, adapting the information output to the specific threat level and target characteristics to optimize pilot response effectiveness
Data Source
AI summary
A collision avoidance system according to one aspect of the present invention comprises a user interface, a plurality of sensors, and a computer system in communication with the user interface and the plurality of sensors. The computer system includes a processor and a memory storing instructions that, when executed by the processor, cause the processor to receive data pertaining to a target from one or more sensors of the plurality of sensors, determine a position of the target based on the data from the one or more sensors, and present (through the user interface) the position of the target using one or more visual indicators that identify the one or more sensors.