Collision Warning False Event Suppression via GPS Memory
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Solution Overview
Problem
Existing collision warning systems (CWS) often generate false positives, which can be distracting for drivers, as they fail to differentiate between actual collision threats and non-threatening objects, such as metal plates in the road, leading to unnecessary alarms.
Innovation Solution
A collision warning apparatus and method that utilizes sensors, GPS, and persistent memory to identify potential collision objects by comparing current GPS coordinates with stored data, suppressing warnings for repeatedly detected objects at the same location, thereby reducing false positives.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If collision detection algorithms and sensing systems are refined to improve detection accuracy, then the system can better identify actual collision threats, but false positives still occur due to non-threatening objects like metal plates in the road
Solution Approach 1:
The system performs preliminary actions by storing GPS coordinates of previously detected objects in persistent memory before encountering them again. When the same object is detected, the system compares current GPS coordinates with stored coordinates to identify it as a previously seen object, suppressing false collision warnings before they can be generated.
Solution Approach 2:
The system implements feedback by continuously comparing current sensor detections with historical data stored in persistent memory. The GPS coordinates of previously identified objects are fed back into the system, allowing the processor to recognize patterns and differentiate between actual threats and recurring non-threatening objects like road plates.
2Reliability
If the system issues warnings for all detected potential collision objects, then no actual collision threats are missed, but driver distraction increases due to unnecessary alarms from non-threatening objects
Solution Approach 1:
The system performs preliminary actions by pre-storing GPS coordinates of previously detected objects in persistent memory. When the same object is detected again, the system compares current coordinates with stored coordinates and suppresses warnings for recognized non-threatening objects, preventing driver distraction before it occurs while maintaining comprehensive threat coverage.
Solution Approach 2:
The system introduces an intermediary mechanism using persistent memory to store and retrieve historical object location data. This intermediary layer acts as a filter between sensor detection and warning output, allowing the system to distinguish between actual threats requiring driver attention and non-threatening objects that should be ignored.
3Reliability
If the system stores and processes historical GPS coordinate data to reduce false positives, then false event suppression improves, but device complexity increases due to additional memory and processing requirements
Solution Approach 1:
The system performs preliminary actions by pre-storing GPS coordinates of previously detected objects in persistent memory during normal operation. This historical data is prepared in advance, allowing rapid comparison and false positive suppression without requiring complex real-time analysis, thereby minimizing additional system complexity.
Solution Approach 2:
The system uses copying by storing simplified representations of object locations (GPS coordinates) in persistent memory rather than maintaining complex object models. This copying approach reduces false positives through coordinate comparison while keeping the additional data structure simple and the processing overhead minimal.
Data Source
AI summary
A collision warning apparatus includes sensors, output devices, memory locations, a GPS device, and a processor. The processor may receive information from the sensors. The processor may also process the information to identify a detected object as a present potential collision object. The processor may compare present GPS coordinates of the vehicle with stored vehicle GPS coordinates saved in memory, to determine whether or not the present GPS coordinates correspond to stored vehicle GPS coordinates associated with a previously identified potential collision object. If the present GPS coordinates correspond to stored vehicle GPS coordinates associated with a previously identified potential collision object, the processor is operable to suppress a potential collision warning.