Obstacle Detection Criteria Adaptation for False Alarm Reduction
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Solution Overview
Problem
Existing obstacle detection assistance systems in track transport systems face issues with erroneous detections, leading to unnecessary interruptions in driving assistance when non-obstacles are mistakenly identified as obstacles.
Innovation Solution
An obstacle detection assistance system that includes a criterion determination unit to set thresholds and detection methods based on external environment recognition, reducing erroneous detections by adjusting criteria such as continuous detection counts and logical operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the obstacle detection sensitivity is increased to improve detection rate, then the detection capability is improved, but the erroneous detection rate increases leading to false alarms
Solution Approach 1:
The patent applies dynamics by making the detection criterion adaptive rather than fixed. The criterion determination unit dynamically adjusts the obstacle detection threshold based on the external environment recognized by the external environment recognition unit. In environments with high erroneous detection risk (e.g., stations, railroad crossings), the system raises the detection threshold, thereby reducing false alarms while maintaining detection capability in normal conditions.
Solution Approach 2:
The patent changes the detection parameter (threshold) based on environmental conditions. The criterion determination unit modifies the detection threshold parameter according to the recognized external environment. This parameter change allows the system to maintain high detection sensitivity in safe environments while reducing sensitivity in environments prone to false detections, thus resolving the contradiction between detection accuracy and false alarm rate.
2Reliability
If the detection criterion is made strict to reduce erroneous detection, then the false alarm rate decreases, but the detection rate may be reduced leading to missed obstacles
Solution Approach 1:
The system dynamically adjusts the detection criterion based on environmental context. The criterion determination unit receives external environment information and adaptively sets the detection threshold. This dynamic adjustment ensures that the criterion is strict only when necessary (in high-risk environments) and relaxed when safe, preventing both false alarms and missed detections.
Solution Approach 2:
The detection threshold parameter is changed according to environmental conditions. In normal environments, the threshold is set lower to ensure high detection rate. In environments identified as high-risk for false detection (stations, railroad crossings), the threshold is raised to reduce false alarms. This conditional parameter change resolves the contradiction between detection rate and false alarm rate.
3Productivity
If the detection threshold is lowered to improve detection rate, then more obstacles are detected, but erroneous detection of non-obstacles increases
Solution Approach 1:
The detection threshold is made dynamic rather than fixed. The criterion determination unit adjusts the threshold based on real-time external environment recognition. This allows the system to operate with lower thresholds (high detection rate) in safe environments while automatically raising thresholds in environments where low thresholds would cause erroneous detection, thus resolving the contradiction between detection rate and erroneous detection.
Solution Approach 2:
The detection threshold parameter is conditionally changed based on environmental context. The system maintains low thresholds to ensure high detection rate except in specific environments (stations, railroad crossings, bridges) where the criterion determination unit raises the threshold to prevent erroneous detection of non-obstacles like platform edges or track structures.
4Reliability
If the system interrupts driving assistance during erroneous detection conditions, then false alarms are reduced, but driving assistance is also interrupted in valid detection scenarios
Solution Approach 1:
The system performs preliminary action by determining the detection criterion based on external environment recognition before actual obstacle detection occurs. The criterion determination unit pre-establishes appropriate detection thresholds for the current environment, preventing both false alarms and missed detections from the outset, thus eliminating the need to interrupt driving assistance after erroneous detections occur.
Solution Approach 2:
The detection criterion is dynamically adjusted based on environmental context before detection. By recognizing the external environment and setting appropriate thresholds in advance, the system prevents erroneous detections that would otherwise require interrupting driving assistance. This dynamic pre-adjustment maintains both reliability and ease of operation.
Data Source
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AI summary
An object is to reduce error alarms without interrupting driving assistance to a driver in an obstacle detection line of sight system mounted on a track transport system. In order to solve the above problem, there is provided an obstacle detection assistance system for assisting obstacle detection during traveling of a vehicle, and the obstacle detection assistance system includes: a driving assistance display unit configured to display driving assistance information that is information for assisting vehicle driving; an obstacle detection unit configured to detect an obstacle that hinders the traveling of the vehicle; a criterion determination unit configured to determine a criterion when the obstacle detection unit detects the obstacle; and an external environment recognition unit configured to recognize an external environment of the vehicle, in which the criterion determination unit sets a criterion according to the external environment, and as the criterion, a threshold of the number of times an obstacle is detected by the obstacle detection unit, or a matching degree of detection results by the obstacle detection unit, or both the threshold of the number of times an obstacle is detected and the matching degree of the detection results are set.