Parallel Running Vehicle Detection with Adaptive Sensor History
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Solution Overview
Problem
Existing parallel running vehicle detection systems face challenges in accurately distinguishing between parallel running vehicles and stationary objects like curbstones, leading to erroneous detections and reduced responsiveness due to the limitations of front and back sensors.
Innovation Solution
A parallel running vehicle detecting apparatus utilizing a combination of first and second distance sensors, with a storage to store detection history, adjusts determination conditions based on the detection history to differentiate between parallel running vehicles and stationary objects, thereby reducing erroneous detections without compromising responsiveness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the number of detection times is increased to suppress erroneous detection of stationary objects, then detection accuracy is improved, but responsiveness is degraded
Solution Approach 1:
The patent applies dynamics by making the determination conditions variable rather than fixed. The control device dynamically adjusts determination conditions based on detection history, allowing the system to adapt its detection strictness according to the situation. This resolves the contradiction by enabling high accuracy when needed (when stationary objects are detected) while maintaining responsiveness when conditions allow (normal operating conditions).
Solution Approach 2:
The patent changes parameters by modifying determination conditions based on detection history. Instead of increasing the number of detection times, the system changes the parameters (determination conditions) used to evaluate detection results. This allows the system to suppress erroneous detection of stationary objects without compromising responsiveness, as the parameter change enables flexible adaptation to different detection scenarios.
2Measurement precision
If stricter determination conditions are applied to distinguish parallel running vehicles from stationary objects, then detection accuracy is improved, but the number of detection operations increases, degrading responsiveness
Solution Approach 1:
The patent applies preliminary action by storing detection history in advance. The control device uses previously stored detection results to inform current determination conditions, eliminating the need for repeated strict verification. This preliminary preparation of detection data allows the system to achieve high detection accuracy without increasing the number of detection operations, thus maintaining responsiveness.
3Measurement precision
If multiple detection conditions are used to identify parallel running vehicles, then detection accuracy is improved, but device complexity increases
Solution Approach 1:
The patent applies dynamics by implementing adaptive determination conditions that change based on detection history. Rather than using multiple fixed detection conditions simultaneously, the system dynamically selects and adjusts determination conditions based on stored detection data. This reduces system complexity while maintaining high detection accuracy, as the conditional logic adapts to different scenarios rather than requiring multiple parallel detection pathways.
Data Source
AI summary
A parallel running vehicle detecting apparatus is provided, which includes a first distance sensor for detecting distance of an object in a first detection area on a rear lateral side of a vehicle, a second distance sensor for detecting distance of an object in a second detection area, a parallel running vehicle detector for detecting a parallel running vehicle based on detections of the first and second distance sensors, and a storage for storing a detection distance history of the second distance sensor. The parallel running vehicle detector is provided with multiple determination conditions for determining whether the object detected by the first distance sensor is the parallel running vehicle, and changes the parallel running vehicle determination condition based on the detection distance history stored in the storage.