Cargo Bed Falling Object Detection Using Vibration Analysis
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Solution Overview
Problem
Existing technologies face challenges in detecting and determining objects that are likely to fall or currently falling from a cargo bed of nearby vehicles, as they struggle to prepare templates for these objects, leading to difficulties in collision avoidance during driving support systems.
Innovation Solution
A falling object determination device equipped with an acquisition unit to gather information on the displacement of objects near a cargo bed and a control unit to calculate vibration frequency, amplitude, and size, enabling the determination of whether an object is likely to fall or is falling from the cargo bed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If template-based object recognition is used for pedestrian detection, then detection accuracy for known objects is improved, but the system cannot detect or determine objects that are likely to fall or are currently falling from cargo beds
Solution Approach 1:
The system transitions from static template matching to dynamic vibration analysis. By continuously monitoring displacement signals and calculating vibration frequencies, amplitudes, and sizes of detected objects, the system adapts to identify falling objects in real-time without requiring pre-defined templates for each object type.
Solution Approach 2:
The patent replaces the mechanical/template-based recognition system with a physics-based vibration analysis system. Instead of matching visual templates, the system uses displacement sensors to capture mechanical vibrations and applies spectral analysis to determine object characteristics and falling states.
2Reliability
If the system performs comprehensive vibration analysis to accurately determine falling objects, then detection reliability is improved, but computational complexity and processing time increase
Solution Approach 1:
The system performs vibration analysis selectively - applying full spectral analysis only when objects are detected near cargo beds, rather than continuously analyzing all detected objects. This partial action approach maintains high reliability for critical cases while reducing overall computational burden.
Solution Approach 2:
The system rapidly processes displacement signals through Fast Fourier Transform to quickly obtain vibration characteristics, enabling real-time determination of falling objects without excessive processing delays. The quick transformation from time-domain to frequency-domain data allows fast decision-making.
Data Source
AI summary
A falling object determination device configured to be mounted on a vehicle is provided. The falling object determination device includes an acquisition unit configured to acquire, as a first detection signal, information indicating displacement of an object near a cargo bed of a nearby vehicle which travels near the own vehicle; and a control unit configured to calculate at least one of a vibration frequency, an amplitude and a size of the object near the cargo bed by using the first detection signal, and performs a determination whether the object near the cargo bed is an object which is likely to fall from the cargo bed or an object which is falling from the cargo bed in accordance with a calculation result.