View source for 18519203. METHOD AND APPARATUS OF PREDICTING POSSIBILITY OF ACCIDENT IN REAL TIME DURING VEHICLE DRIVING simplified abstract (ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE)

=METHOD AND APPARATUS OF PREDICTING POSSIBILITY OF ACCIDENT IN REAL TIME DURING VEHICLE DRIVING=


==Organization Name==

[[:Category:ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE|ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE]]


[[Category:ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE]]

==Inventor(s)==

[[:Category:Kyung Bok Sung of Daejeon (KR)|Kyung Bok Sung of Daejeon (KR)]][[Category:Kyung Bok Sung of Daejeon (KR)]]

[[:Category:Kyoung-Wook Min of Daejeon (KR)|Kyoung-Wook Min of Daejeon (KR)]][[Category:Kyoung-Wook Min of Daejeon (KR)]]

[[:Category:Jeong-Woo Lee of Daejeon (KR)|Jeong-Woo Lee of Daejeon (KR)]][[Category:Jeong-Woo Lee of Daejeon (KR)]]

[[:Category:Jeong Dan Choi of Daejeon (KR)|Jeong Dan Choi of Daejeon (KR)]][[Category:Jeong Dan Choi of Daejeon (KR)]]

==METHOD AND APPARATUS OF PREDICTING POSSIBILITY OF ACCIDENT IN REAL TIME DURING VEHICLE DRIVING - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18519203 titled 'METHOD AND APPARATUS OF PREDICTING POSSIBILITY OF ACCIDENT IN REAL TIME DURING VEHICLE DRIVING

The abstract describes a method for predicting the possibility of an accident involving an ego-vehicle by abstracting surrounding situation data and movement data from sensors, calculating a digitized score of the accident possibility, and generating action data to decrease the likelihood of the accident.

* Abstraction of surrounding situation data and movement data from sensors
* Calculation of a digitized score for the possibility of an accident
* Generation of action data to reduce the likelihood of the accident

== Potential Applications ==
This technology could be applied in autonomous vehicles, driver assistance systems, and traffic management systems to enhance safety and prevent accidents.

== Problems Solved ==
This technology addresses the challenge of predicting and preventing accidents involving ego-vehicles by analyzing driving situation data and generating appropriate actions to mitigate risks.

== Benefits ==
The benefits of this technology include improved safety on the roads, reduced accidents, and enhanced efficiency in traffic management.

== Commercial Applications ==
Title: Predictive Accident Prevention System
This technology could be utilized by automotive manufacturers, transportation companies, and smart city initiatives to enhance road safety and optimize traffic flow.

== Prior Art ==
Further research can be conducted in the fields of autonomous vehicles, artificial intelligence in transportation, and predictive analytics for accident prevention.

== Frequently Updated Research ==
Ongoing research in sensor technology, machine learning algorithms, and real-time data processing could contribute to the advancement of this predictive accident prevention system.

== Questions about Predictive Accident Prevention System ==
=== How does this technology contribute to the development of autonomous vehicles? ===
This technology plays a crucial role in enhancing the safety and reliability of autonomous vehicles by predicting and preventing accidents.

=== What are the potential implications of this technology on insurance policies for vehicles? ===
The implementation of this technology could lead to changes in insurance policies, with a focus on rewarding safe driving behavior and accident prevention.


==Original Abstract Submitted==

A method of predicting a possibility of an accident is provided. The method includes abstracting surrounding situation data and movement data of an ego-vehicle input from a sensor to generate abstracted driving situation data by using an abstraction module executed by a processor, calculating a digitized score of a possibility of an accident of the ego-vehicle by using a calculation module executed by the processor, based on the abstracted driving situation data, and generating action data of the ego-vehicle for decreasing the possibility of the accident by using an action generating module executed by the processor, based on the score.



[[Category:B60W30/09]]
[[Category:B60W50/00]]
[[Category:B60W50/06]]
[[Category:B60W60/00]]
[[Category:G05B13/02]]
[[Category:G08G1/16]]
[[Category:CPC_B60W30/09]]