View source for 18298650. Apparatus for Controlling Driving of a Vehicle, System Having the Same and Method Thereof simplified abstract (Kia Corporation)

=Apparatus for Controlling Driving of a Vehicle, System Having the Same and Method Thereof=


==Organization Name==

[[:Category:Kia Corporation|Kia Corporation]]


[[Category:Kia Corporation]]

==Inventor(s)==

[[:Category:Byeong Wook Jeon of Seoul (KR)|Byeong Wook Jeon of Seoul (KR)]][[Category:Byeong Wook Jeon of Seoul (KR)]]

[[:Category:Jung Hwan Bang of Seoul (KR)|Jung Hwan Bang of Seoul (KR)]][[Category:Jung Hwan Bang of Seoul (KR)]]

[[:Category:Hyung Seuk Ohn of Seoul (KR)|Hyung Seuk Ohn of Seoul (KR)]][[Category:Hyung Seuk Ohn of Seoul (KR)]]

[[:Category:Hee Yeon Nah of Seoul (KR)|Hee Yeon Nah of Seoul (KR)]][[Category:Hee Yeon Nah of Seoul (KR)]]

[[:Category:Won Seok Jeon of Anyang-si (KR)|Won Seok Jeon of Anyang-si (KR)]][[Category:Won Seok Jeon of Anyang-si (KR)]]

[[:Category:Ki Sang Kim of Seoul (KR)|Ki Sang Kim of Seoul (KR)]][[Category:Ki Sang Kim of Seoul (KR)]]

[[:Category:Dong Hoon Won of Suwon-si (KR)|Dong Hoon Won of Suwon-si (KR)]][[Category:Dong Hoon Won of Suwon-si (KR)]]

[[:Category:Dong Hoon Jeong of Seongnam-si (KR)|Dong Hoon Jeong of Seongnam-si (KR)]][[Category:Dong Hoon Jeong of Seongnam-si (KR)]]

==Apparatus for Controlling Driving of a Vehicle, System Having the Same and Method Thereof - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18298650 titled 'Apparatus for Controlling Driving of a Vehicle, System Having the Same and Method Thereof

==Simplified Explanation==

The embodiment vehicle driving control apparatus uses a learning algorithm to determine the output torque of a driving source based on the driver's driving propensity or the driving situation.

* Processor determines output torque using driver driving propensity or driving situation
* Memory stores algorithms and data for processor to use

== Potential Applications ==
This technology could be applied in:
* Autonomous vehicles
* Fleet management systems
* Driver assistance systems

== Problems Solved ==
This technology helps in:
* Improving driving efficiency
* Enhancing vehicle performance
* Personalizing driving experience

== Benefits ==
The benefits of this technology include:
* Increased safety on the road
* Better fuel efficiency
* Customized driving experience for each driver

== Potential Commercial Applications ==
The potential commercial applications of this technology could be seen in:
* Automotive industry
* Transportation companies
* Technology companies developing driver assistance systems

== Possible Prior Art ==
One possible prior art could be the use of driver behavior analysis in vehicle telematics systems to improve driving performance and safety.

=== What are the limitations of the learning algorithm used in this technology? ===

The learning algorithm may not be able to accurately predict driver behavior in all situations, leading to potential errors in torque output determination.

=== How does this technology handle data privacy concerns related to storing driver driving propensities? ===

This technology may need to implement strict data privacy measures to ensure that driver data is securely stored and used only for the intended purposes of improving driving performance and safety.


==Original Abstract Submitted==

An embodiment vehicle driving control apparatus includes a processor configured to determine an output torque of a driving source by using a driver driving propensity for each driver of a plurality of drivers or a driving situation based on a learning algorithm and a memory configured to store algorithms and data to be driven by the processor.



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[[Category:B60W10/08]]