Front Vehicle Rear Tire Anomaly Detection via Vision Analysis
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Solution Overview
Problem
The increased density of vehicles on highways due to advanced driver assistance systems (ADAS) poses a risk of accidents, primarily caused by tire pressure issues such as high or low pressure, which can lead to reduced tire grip or imminent tire failure, necessitating a more effective monitoring method for adjacent vehicles.
Innovation Solution
A front car rear tire anomalies detection system equipped with a vision system and processor that observes and compares the shape and condition of rear tires and chassis of adjacent vehicles, sending alerts to drivers or braking systems if anomalies like low pressure, rupture, or inclination are detected, and controlling vehicle velocity or activating hazard lights as necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If tire pressure is too high, then vehicle can drive in closer proximity to other vehicles (improving productivity), but tire grip is reduced and tire failure risk increases (worsening reliability)
Solution Approach 1:
The system performs preliminary detection of tire anomalies by continuously monitoring tire shape, chassis inclination, and other parameters before actual tire failure occurs. This allows early warning and preventive action to be taken, maintaining both high productivity and reliability.
Solution Approach 2:
The system establishes a feedback loop by continuously detecting tire conditions, comparing them against normal parameters, and providing real-time alerts to drivers. This feedback mechanism enables drivers to adjust their driving behavior or seek assistance before tire failure compromises safety.
2Reliability
If tire pressure is too low, then steering performance is affected (worsening reliability), but tire grip is improved (improving safety)
Solution Approach 1:
The system detects low tire pressure conditions and associated steering issues before they become critical failures. By monitoring tire shape deviations and chassis inclination, the system provides early warning that allows drivers to address steering problems before they compromise vehicle control.
3Productivity
If vehicle density increases on roadways, then highway efficiency is improved (improving productivity), but accident risk increases (worsening safety)
Solution Approach 1:
The system performs preliminary detection of tire anomalies that could lead to accidents. By identifying at-risk vehicles before they fail, the system enables preventive measures that reduce accident risk in high-density traffic conditions while maintaining highway efficiency.
Solution Approach 2:
The system provides real-time feedback about tire conditions to drivers, enabling them to take corrective action before accidents occur. This feedback mechanism is particularly valuable in high-density traffic where accidents would have severe consequences.
Data Source
AI summary
A method includes observing one or more rear tires for a front car, the one or more rear tires include a left rear tire and a right rear tire, determining whether the one or more of the rear tires have an anomaly, observing a chassis of the front car to determine if there is an inclination, and sending an alert if the one or more rear tires have the anomaly.