Reverse Braking Control With Virtual Boundaries for False Activations
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Solution Overview
Problem
Existing vehicle braking systems often trigger multiple alerts and braking events for the same object threat, leading to driver frustration in noisy sensor environments, and there is a need to reduce false activations.
Innovation Solution
A vehicle control module uses dead reckoning to monitor vehicle movement and estimate object threat locations, defining dynamic boundary regions that inhibit further alerts and braking if a subsequent threat is detected within these regions, with the regions decaying over time to allow future events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the braking system triggers multiple alerts and braking events for the same object threat, then the system maintains high sensitivity to object detection, but the driver experiences frustration due to false activations and unnecessary braking
Solution Approach 1:
The system performs preliminary action by defining a boundary region around a detected object threat before subsequent detections occur. When an object is detected, the system proactively establishes a spatial boundary (e.g., circular region) around it, so that future detections within this pre-defined region can be recognized as the same threat and suppressed, preventing false multiple activations.
Solution Approach 2:
The system creates a virtual copy or representation of the detected object threat in the form of a boundary region. This virtual boundary region serves as a surrogate marker that persists even after the original detection is processed, allowing the system to recognize and suppress subsequent detections that correspond to the same physical threat without requiring re-detection of the original object.
2Reliability
If the system continuously monitors and defines boundary regions for detected objects, then false activations are reduced, but the computational complexity and processing load increase
Solution Approach 1:
The system segments the monitoring space into distinct boundary regions, each associated with a detected object threat. Instead of continuously analyzing all sensor data against all possible threats, the system divides the environment into discrete zones of interest, allowing independent processing and comparison of new detections against specific boundary regions, thereby reducing overall computational complexity.
Solution Approach 2:
The system applies partial action by only fully processing and responding to detections that fall outside existing boundary regions. Detections within established boundary regions are recognized as duplicates and suppressed without requiring complete re-evaluation. This selective processing approach reduces computational load while maintaining detection reliability.
Data Source
AI summary
A method of automated vehicle braking control includes detecting a first object threat in a reverse travel path of a vehicle, monitoring a distance of the vehicle from the first object threat with respect to a time to collision threshold, and in response to a determination that the vehicle is crossing the time to collision threshold, initiating a first rear virtual bumper event by automatically applying brakes of the vehicle. The method includes storing a location of the first object threat, defining a boundary region surrounding the location of the first object threat, detecting a second object threat in the reverse travel path, comparing a location of the second object threat with the boundary region, and inhibiting automatic application of the brakes in response to a determination that the location of the second object threat is within the boundary region, to avoid a second rear virtual bumper event.