View source for SK Planet Co., Ltd. (20240337624). APPARATUS AND METHOD FOR ANALYZING ROAD SURFACE CONDITION BASED ON VEHICLE NOISE simplified abstract

=APPARATUS AND METHOD FOR ANALYZING ROAD SURFACE CONDITION BASED ON VEHICLE NOISE=


==Organization Name==

[[:Category:SK Planet Co., Ltd.|SK Planet Co., Ltd.]]


[[Category:SK Planet Co., Ltd.]]

==Inventor(s)==

[[:Category:JongHee Jung of Yongin-si (KR)|JongHee Jung of Yongin-si (KR)]][[Category:JongHee Jung of Yongin-si (KR)]]

[[:Category:Yeonghyeon Park of Cheonan-si (KR)|Yeonghyeon Park of Cheonan-si (KR)]][[Category:Yeonghyeon Park of Cheonan-si (KR)]]

[[:Category:JoonSung Lee of Seoul (KR)|JoonSung Lee of Seoul (KR)]][[Category:JoonSung Lee of Seoul (KR)]]

==APPARATUS AND METHOD FOR ANALYZING ROAD SURFACE CONDITION BASED ON VEHICLE NOISE - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240337624 titled 'APPARATUS AND METHOD FOR ANALYZING ROAD SURFACE CONDITION BASED ON VEHICLE NOISE

==Simplified Explanation==
The patent application describes a system that determines dangerous areas of a road based on the noise generated by vehicles. An audio signal is collected and processed to detect specific noises, such as horns or sudden brakes, which indicate potential hazards. The system then identifies and marks areas as dangerous based on the frequency of these noises.

* The system collects audio signals from vehicles on the road.
* It processes the signals to filter out non-relevant noises like horns or sudden brakes.
* By analyzing the remaining noises, it identifies potential hazards on the road.
* Dangerous areas are marked based on the frequency of these hazardous noises.
* The system helps improve road safety by alerting drivers to potentially dangerous areas.

==Key Features and Innovation==
* Collection and processing of audio signals from vehicles.
* Filtering out non-relevant noises to focus on specific sounds.
* Identification of potential hazards based on analyzed noises.
* Establishment of dangerous areas on the road.
* Enhancement of road safety by alerting drivers to potential dangers.

==Potential Applications==
The technology can be applied in various areas such as:
* Road safety management systems.
* Traffic monitoring and control systems.
* Vehicle safety systems.
* Urban planning for safer roads.
* Environmental noise monitoring.

==Problems Solved==
* Identifying potential hazards on the road.
* Alerting drivers to dangerous areas.
* Improving overall road safety.
* Enhancing traffic management systems.
* Providing real-time data on road conditions.

==Benefits==
* Increased road safety for drivers and pedestrians.
* Early detection of potential hazards.
* Improved traffic flow and management.
* Enhanced urban planning for safer roads.
* Real-time monitoring of road conditions.

==Commercial Applications==
### Road Safety Management System: Enhancing road safety by identifying and marking dangerous areas based on vehicle noise.
### Traffic Monitoring and Control System: Providing real-time data on potential hazards to improve traffic flow and safety.
### Vehicle Safety Systems: Integrating noise detection technology to alert drivers to potential dangers.
### Urban Planning: Using noise analysis to plan safer road infrastructure.
### Environmental Noise Monitoring: Monitoring and managing noise pollution levels in urban areas.

==Questions about the Technology==
===How does the system differentiate between different types of vehicle noises?===
The system uses a learned detection model to analyze and identify specific noises of interest, filtering out non-relevant sounds like horns or sudden brakes.

===What impact does this technology have on overall road safety?===
This technology significantly enhances road safety by alerting drivers to potential hazards and marking dangerous areas based on analyzed noises.


==Original Abstract Submitted==

deriving a dangerous area of a road based on a vehicle's noise generated on the road or analyzing a road surface condition based on a driving noise for each vehicle type. an audio signal is collected by a sensor device and send to a noise processing unit. the noise processing unit generates an attenuated audio signal by attenuating a noise other than a noise-of-interest including at least one of a vehicle horn noise and a vehicle sudden brake noise in the received audio signal. an information processing unit detects the noise-of-interest by analyzing the attenuated audio signal through a learned detection model, and establishes a road area within a predetermined radius from the sensor device as the dangerous area of the road based on an accumulated number of times the noise-of-interest is detected.



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[[Category:G01D21/02]]
[[Category:G01N29/12]]
[[Category:CPC_G01N29/04]]