Hyundai motor company (20240092253). METHOD FOR PERSONALIZING VEHICLE LAMPS simplified abstract
Contents
- 1 METHOD FOR PERSONALIZING VEHICLE LAMPS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHOD FOR PERSONALIZING VEHICLE LAMPS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
METHOD FOR PERSONALIZING VEHICLE LAMPS
Organization Name
Inventor(s)
Seung-Pyo Hong of Incheon (KR)
Da-Young Jeong of Seongnam-si (KR)
Jung-Bin Kim of Bucheon-si (KR)
Moon-Soo Park of Gwangmyeong-si (KR)
METHOD FOR PERSONALIZING VEHICLE LAMPS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240092253 titled 'METHOD FOR PERSONALIZING VEHICLE LAMPS
Simplified Explanation
The method described in the abstract involves personalizing a vehicle lamp by converting a user-input image into light-and-shade data, adjusting the pixel light distribution values based on this data, and comparing the resulting total light distribution against a reference value to determine if it meets a predetermined light distribution standard.
- Drawing an image of a vehicle lamp based on user input
- Converting the drawn image into light-and-shade data for each pixel
- Adjusting pixel light distribution values based on the converted data
- Comparing the total light distribution of the pixels to a reference value
- Applying the personalized image to the vehicle lamp if it meets the predetermined light distribution standard
Potential Applications
This technology could be applied in the automotive industry for customizing vehicle lamps to display personalized images or designs.
Problems Solved
This technology solves the problem of creating personalized vehicle lamps that meet specific light distribution standards.
Benefits
The benefits of this technology include allowing users to personalize their vehicle lamps with unique designs while ensuring that the light distribution remains within predetermined standards.
Potential Commercial Applications
One potential commercial application of this technology is in the customization of vehicle lamps for individual customers or as a unique selling point for automotive manufacturers.
Possible Prior Art
Prior art in this field may include methods for customizing vehicle lights or creating personalized lighting effects, but specific examples would need to be researched to determine relevance.
Unanswered Questions
How does this method compare to existing techniques for personalizing vehicle lamps?
This article does not provide a comparison with other methods or technologies currently used for customizing vehicle lamps.
What are the limitations of this method in terms of the complexity of images that can be applied to the vehicle lamp?
The article does not address the potential limitations of the method in terms of the complexity or detail of the images that can be personalized on the vehicle lamp.
Original Abstract Submitted
a method of personalizing a vehicle lamp includes drawing an image made up of a plurality of pixels that implement a vehicle lamp, based on an input by a user. the method also includes converting the drawn image into light-and-shade data that correspond to the pixels, respectively, multiplying a pixel light distribution value, corresponding to each pixel, by a weighted value based on the data resulting from the conversion, adding up results of the multiplication, and deriving total light distribution of the pixels that results when brightness of the vehicle lamp is the same as that of the drawn image. the method further includes comparing the derived total light distribution against a predetermined reference value and determining whether the derived total light distribution satisfies a predetermined light distribution reference, and applying the drawn image to the vehicle lamp when it is determined that a predetermined light distribution reference is satisfied.
