Prosecution Insights
Last updated: April 19, 2026
Application No. 18/250,573

METHOD FOR MANAGING IMAGE DATA AND AUTOMOTIVE LIGHTING DEVICE

Final Rejection §103
Filed
Apr 26, 2023
Examiner
LEE, WILSON
Art Unit
2844
Tech Center
2800 — Semiconductors & Electrical Systems
Assignee
VALEO VISION
OA Round
4 (Final)
87%
Grant Probability
Favorable
5-6
OA Rounds
2y 9m
To Grant
90%
With Interview

Examiner Intelligence

Grants 87% — above average
87%
Career Allow Rate
564 granted / 651 resolved
+18.6% vs TC avg
Minimal +3% lift
Without
With
+3.1%
Interview Lift
resolved cases with interview
Typical timeline
2y 9m
Avg Prosecution
21 currently pending
Career history
672
Total Applications
across all art units

Statute-Specific Performance

§101
20.8%
-19.2% vs TC avg
§103
29.6%
-10.4% vs TC avg
§102
26.0%
-14.0% vs TC avg
§112
12.0%
-28.0% vs TC avg
Black line = Tech Center average estimate • Based on career data from 651 resolved cases

Office Action

§103
Notice of Pre-AIA or AIA Status The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA . Response to Arguments Applicant argues that Bae fails to disclose the encoder block and the decoder block have undergone a common training process being part of the same deep autoencoder in amended Claim 7. However, applicant’s arguments with respect to claim(s) 7-10 have been considered but are moot because the new ground of rejection does not rely on any reference applied in the prior rejection of record for any teaching or matter specifically challenged in the argument. Claim Rejections – 35 U.S.C. 103 The following is a quotation of 35 U.S.C. 103 which forms the basis for all obviousness rejections set forth in this Office action: A patent for a claimed invention may not be obtained, notwithstanding that the claimed invention is not identically disclosed as set forth in section 102, if the differences between the claimed invention and the prior art are such that the claimed invention as a whole would have been obvious before the effective filing date of the claimed invention to a person having ordinary skill in the art to which the claimed invention pertains. Patentability shall not be negated by the manner in which the invention was made. Claim(s) 7-10 is/are rejected under 35 U.S.C. 103 as being unpatentable over Bae et al (2016/0173886) in view of Katsumata et al. (11,902,555) further in view of Kurar (2020/0073969). Regarding Claim 7, Bae et al (2016/0173886) discloses a method for operating an automotive lighting arrangement (automotive head unit, paragraph [0046]), comprising: operating an encoder (“encoding data based on the encoding data”, “encoding data as a pixel value of the image data”, paragraph [0015]), to reduce the data size of the image data (compression methods may reduce a size by 50%”, paragraphs [0136], [0126]; “compression modes, and encoding the image according to the selected mode”, abstract), producing processed image data (“image data”, paragraphs [0136], [0126)); transmitting the processed image data to a decoder (fig. 4); operating the decoder to process the processed image data (“a compression mode of image data included in encoding data based on the encoding data, and a decoding module that reconstructs the image data from the encoding data according to the identified mode”, paragraph [0018]) to produce a restored image data (“decoding module restores a pixel value”, paragraph [0015]; “reconstructed image data”, Fig. 4); and operating the lighting module to project a light pattern (“projector displays an image by projecting light”, paragraph [0077]) based on the restored image data (“reconstructing the image”, paragraphs [0013]; “reconstructs the image data from encoding data…decoding module restores a pixel value…”, [0015]) outside the automotive lighting arrangement (“inside or outside the electronic device 201”, paragraph [0077]). As discussed above, Bae essentially discloses the claimed invention but does not graphically show a lighting module comprising a light source. However, since Bae teaches that his invention can be used in an automotive head unit (paragraph [0046]), and a projector that projects light (paragraph [0077]), it would have been obvious to one of ordinary skill in the art at the time the invention was made to have included a light source in the automotive head unit of Bae to project light in order to provide light as disclosed in Bae. As discussed above, Bae essentially discloses the claimed invention but does not literally disclose operating encoder in an automotive control unit and transmitting the processed image to a decoder in a lighting module. However, Katsumata et al. (11,902,555) discloses operating encoder (32) in a data generation device as an automotive control unit (Fig. 40), transmitting the processed image to a decoder (53) in a data reproduction device as a lighting module (Fig. 41). Katsumata also discloses that his invention is used in an automobile control system (Col. 7, lines 9-21). It would have been obvious to one of ordinary skill in the art to have located the encoder in a control unit and decoder in a lighting module in Bae to input a secure and compressed image from the encoder to project the light output after being decompressed by the decoder to order to reduce the size of the file and protect the file from being corrupted, crashed or stolen as taught by Katsumata. Further, it has been held that rearranging the position of claimed element merely involves routine skill in the art. In re Japikse, 181 F.2d 1019, 86 USPQ 70 (CCPA 1950) (Claims to a hydraulic power press which read on the prior art except with regard to the position of the starting switch were held unpatentable because shifting the position of the starting switch would not have modified the operation of the device.); In re Kuhle, 526 F.2d 553, 188 USPQ 7 (CCPA 1975) (the particular placement of a contact in a conductivity measuring device was held to be an obvious matter of design choice). As discussed above, Bae essentially discloses the claimed invention but does not explicitly disclose using encoder and decoder of a trained deep autoencoder to process image data. However, Kurar (2020/0073969) discloses deep learning such as autoencoder to analyzing and recognize objects within video and images (paragraph [0040]) and further discloses deep convolutional encoder-decoder architectures (paragraph [0049]). It would have been obvious to one of ordinary skill in the art at the time the invention was filed to have provided the encoder-decoder architectures of Kurar in Bae in order to accurately identify subject and provide vehicles with a mechanism to detect visually-based content of interest from visual inventory as taught by Kurar (paragraph [0040]). Regarding Claim 8, Bae discloses the method according to claim 7, further comprising normalizing the image data (411 or 413) before operating the encoder block (415) to reduce its data size (fig. 4). Regarding Claim 9, as discussed above, Bae essentially discloses the claimed invention but does not explicitly disclose the method according to claim 8, wherein normalizing the image data includes converting each value of the image data in a converted value between 0 and 1. However, it would have been obvious and known to a skilled in the art that all processed data are converted between 0 and 1 in Bae since in digital world, all data are binary including Bae in order to compute the data in a computerized system. Regarding Claim 10, Bae discloses the method according to claim 7, further comprising dividing the image data in data subarrays of the same format (“The image data 610 includes a plurality of pixels belonging to different lines in the image”, “the image data 610 in FIG. 6 includes four pixels input, for example, in a 2x2pixel array form or a block form”, paragraph [0122]. Noted pixel as a subarray to form an array. They are same format as image data). Claim(s) 7-10 is/are rejected under 35 U.S.C. 103 as being unpatentable over Bae et al (2016/0173886) in view of Katsumata et al. (11,902,555) further in view of Zadeh et al. (2014/0201126). Regarding Claim 7, Bae et al (2016/0173886) discloses a method for operating an automotive lighting arrangement (automotive head unit, paragraph [0046]), comprising: operating an encoder (encoding data based on the encoding data”, “encoding data as a pixel value of the image data”, paragraph [0015]), to reduce the data size of the image data (compression methods may reduce a size by 50%”, paragraphs [0136], [0126]; “compression modes, and encoding the image according to the selected mode”, abstract), producing processed image data (“image data”, paragraphs [0136], [0126)); transmitting the processed image data to a decoder (fig. 4); operating the decoder to process the processed image data (“a compression mode of image data included in encoding data based on the encoding data, and a decoding module that reconstructs the image data from the encoding data according to the identified mode”, paragraph [0018]) to produce a restored image data (“decoding module restores a pixel value”, paragraph [0015]; “reconstructed image data”, Fig. 4); and operating the lighting module to project a light pattern (“projector displays an image by projecting light”, paragraph [0077]) based on the restored image data (“reconstructing the image”, paragraphs [0013]; “reconstructs the image data from encoding data…decoding module restores a pixel value…”, [0015]) outside the automotive lighting arrangement (“inside or outside the electronic device 201”, paragraph [0077]). As discussed above, Bae essentially discloses the claimed invention but does not graphically show a lighting module comprising a light source. However, since Bae teaches that his invention can be used in an automotive head unit (paragraph [0046]), and a projector that projects light (paragraph [0077]), it would have been obvious to one of ordinary skill in the art at the time the invention was made to have included a light source in the automotive head unit of Bae to project light in order to provide light as disclosed in Bae. As discussed above, Bae essentially discloses the claimed invention but does not literally disclose operating encoder in an automotive control unit and transmitting the processed image to a decoder in a lighting module. However, Katsumata et al. (11,902,555) discloses operating encoder (32) in a data generation device as an automotive control unit (Fig. 40), transmitting the processed image to a decoder (53) in a data reproduction device as a lighting module (Fig. 41). Katsumata also discloses that his invention is used in an automobile control system (Col. 7, lines 9-21). It would have been obvious to one of ordinary skill in the art to have located the encoder in a control unit and decoder in a lighting module in Bae to input a secure and compressed image from the encoder to project the light output after being decompressed by the decoder to order to reduce the size of the file and protect the file from being corrupted, crashed or stolen as taught by Katsumata. Further, it has been held that rearranging the position of claimed element merely involves routine skill in the art. In re Japikse, 181 F.2d 1019, 86 USPQ 70 (CCPA 1950) (Claims to a hydraulic power press which read on the prior art except with regard to the position of the starting switch were held unpatentable because shifting the position of the starting switch would not have modified the operation of the device.); In re Kuhle, 526 F.2d 553, 188 USPQ 7 (CCPA 1975) (the particular placement of a contact in a conductivity measuring device was held to be an obvious matter of design choice). As discussed above, Bae essentially discloses the claimed invention but does not explicitly disclose using encoder and decoder of a trained deep autoencoder to process image data. However, Zadeh et al. (2014/0201126) discloses a deep autoencoder comprising decoder and encoder to produce data based on the features learned/captured at the coding layer (paragraph [1734]) and the autoencoder is determine by receiving training samples (paragraph [01743]). It would have been obvious to one of ordinary skill in the art at the time the invention was filed to have provided a deep autoencoder comprising decoder and encoder to process and analyze image data in Bae in order to produce reliable information benefiting from deep learning algorithm and training samples as taught by Zadeh (paragraph [0094]). Regarding Claim 8, Bae discloses the method according to claim 7, further comprising normalizing the image data (411 or 413) before operating the encoder block (415) to reduce its data size (fig. 4). Regarding Claim 9, as discussed above, Bae essentially discloses the claimed invention but does not explicitly disclose the method according to claim 8, wherein normalizing the image data includes converting each value of the image data in a converted value between 0 and 1. However, it would have been obvious and known to a skilled in the art that all processed data are converted between 0 and 1 in Bae since in digital world, all data are binary including Bae in order to compute the data in a computerized system. Regarding Claim 10, Bae discloses the method according to claim 7, further comprising dividing the image data in data subarrays of the same format (“The image data 610 includes a plurality of pixels belonging to different lines in the image”, “the image data 610 in FIG. 6 includes four pixels input, for example, in a 2x2pixel array form or a block form”, paragraph [0122]. Noted pixel as a subarray to form an array. They are same format as image data). Claim(s) 7-10 is/are rejected under 35 U.S.C. 103 as being unpatentable over Bae et al (2016/0173886) in view of Katsumata et al. (11,902,555) further in view of Munawar (2017/0076224). Regarding Claim 7, Bae et al (2016/0173886) discloses a method for operating an automotive lighting arrangement (automotive head unit, paragraph [0046]), comprising: operating an encoder (“encoding data based on the encoding data”, “encoding data as a pixel value of the image data”, paragraph [0015]), to reduce the data size of the image data (compression methods may reduce a size by 50%”, paragraphs [0136], [0126]; “compression modes, and encoding the image according to the selected mode”, abstract), producing processed image data (“image data”, paragraphs [0136], [0126)); transmitting the processed image data to a decoder (fig. 4); operating the decoder to process the processed image data (“a compression mode of image data included in encoding data based on the encoding data, and a decoding module that reconstructs the image data from the encoding data according to the identified mode”, paragraph [0018]) to produce a restored image data (“decoding module restores a pixel value”, paragraph [0015]; “reconstructed image data”, Fig. 4); and operating the lighting module to project a light pattern (“projector displays an image by projecting light”, paragraph [0077]) based on the restored image data (“reconstructing the image”, paragraphs [0013]; “reconstructs the image data from encoding data…decoding module restores a pixel value…”, [0015]) outside the automotive lighting arrangement (“inside or outside the electronic device 201”, paragraph [0077]). As discussed above, Bae essentially discloses the claimed invention but does not graphically show a lighting module comprising a light source. However, since Bae teaches that his invention can be used in an automotive head unit (paragraph [0046]), and a projector that projects light (paragraph [0077]), it would have been obvious to one of ordinary skill in the art at the time the invention was made to have included a light source in the automotive head unit of Bae to project light in order to provide light as disclosed in Bae. As discussed above, Bae essentially discloses the claimed invention but does not literally disclose operating encoder in an automotive control unit and transmitting the processed image to a decoder in a lighting module. However, Katsumata et al. (11,902,555) discloses operating encoder (32) in a data generation device as an automotive control unit (Fig. 40), transmitting the processed image to a decoder (53) in a data reproduction device as a lighting module (Fig. 41). Katsumata also discloses that his invention is used in an automobile control system (Col. 7, lines 9-21). It would have been obvious to one of ordinary skill in the art to have located the encoder in a control unit and decoder in a lighting module in Bae to input a secure and compressed image from the encoder to project the light output after being decompressed by the decoder to order to reduce the size of the file and protect the file from being corrupted, crashed or stolen as taught by Katsumata. Further, it has been held that rearranging the position of claimed element merely involves routine skill in the art. In re Japikse, 181 F.2d 1019, 86 USPQ 70 (CCPA 1950) (Claims to a hydraulic power press which read on the prior art except with regard to the position of the starting switch were held unpatentable because shifting the position of the starting switch would not have modified the operation of the device.); In re Kuhle, 526 F.2d 553, 188 USPQ 7 (CCPA 1975) (the particular placement of a contact in a conductivity measuring device was held to be an obvious matter of design choice). As discussed above, Bae essentially discloses the claimed invention but does not explicitly disclose using encoder and decoder of a trained deep autoencoder to process image data. However, Munawar (2017/0076224) teaches autoencoders are artificial neural networks that have been widely used for learning representations of input signals in many applications. If a hidden layer is narrower than an input layer, compression can be achieved by the autoencoder. In deep learning architecture, input signals can be transformed into feature space. Reconstructions or features obtained from the autoencoder can be used for classification tasks (paragraphs [0004], [0007]). The method comprises training the classification model based on the positive class data to adjust one or more parameters of the classification model (paragraph [0009]). It would have been obvious to one of ordinary skill in the art at the time the invention was filed to have provided the widely used autoencoder to encode the image via encoder and reconstruct the image via decoder (fig. 1 of Munawar) in Bae in order to improve restored image output benefiting from deep learning and training as taught by Munawar. Regarding Claim 8, Bae discloses the method according to claim 7, further comprising normalizing the image data (411 or 413) before operating the encoder block (415) to reduce its data size (fig. 4). Regarding Claim 9, as discussed above, Bae essentially discloses the claimed invention but does not explicitly disclose the method according to claim 8, wherein normalizing the image data includes converting each value of the image data in a converted value between 0 and 1. However, it would have been obvious and known to a skilled in the art that all processed data are converted between 0 and 1 in Bae since in digital world, all data are binary including Bae in order to compute data in a computerized system. Regarding Claim 10, Bae discloses the method according to claim 7, further comprising dividing the image data in data subarrays of the same format (“The image data 610 includes a plurality of pixels belonging to different lines in the image”, “the image data 610 in FIG. 6 includes four pixels input, for example, in a 2x2pixel array form or a block form”, paragraph [0122]. Noted pixel as a subarray to form an array. They are same format as image data). Conclusion Applicant's amendment necessitated the new ground(s) of rejection presented in this Office action. Accordingly, THIS ACTION IS MADE FINAL. See MPEP § 706.07(a). Applicant is reminded of the extension of time policy as set forth in 37 CFR 1.136(a). A shortened statutory period for reply to this final action is set to expire THREE MONTHS from the mailing date of this action. In the event a first reply is filed within TWO MONTHS of the mailing date of this final action and the advisory action is not mailed until after the end of the THREE-MONTH shortened statutory period, then the shortened statutory period will expire on the date the advisory action is mailed, and any nonprovisional extension fee (37 CFR 1.17(a)) pursuant to 37 CFR 1.136(a) will be calculated from the mailing date of the advisory action. In no event, however, will the statutory period for reply expire later than SIX MONTHS from the mailing date of this final action. Correspondence Any inquiry concerning this communication or earlier communications from the examiner should be directed to Examiner Wilson Lee whose telephone number is (571) 272-1824. Proposed amendment and interview agenda can be submitted to Examiner’s direct fax at (571) 273-1824. If attempts to reach the examiner by telephone are unsuccessful, examiner’s supervisor, Alexander Taningco can be reached at (571) 272-8048. Papers related to the application may be submitted by facsimile transmission. Any transmission not to be considered an official response must be clearly marked "DRAFT". The official fax number is (571) 273-8300. Information regarding the status of an application may be obtained from the Patent Center. Status information for published applications may be obtained from Patent Center. For more information about the Patent Center, see https://patentcenter.uspto.gov. Should you have questions on access to the Patent Center, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). /WILSON LEE/ Primary Examiner, Art Unit 2844
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Prosecution Timeline

Apr 26, 2023
Application Filed
Feb 08, 2025
Non-Final Rejection — §103
May 05, 2025
Applicant Interview (Telephonic)
May 08, 2025
Examiner Interview Summary
May 12, 2025
Response Filed
Aug 10, 2025
Final Rejection — §103
Sep 28, 2025
Interview Requested
Oct 14, 2025
Response after Non-Final Action
Nov 04, 2025
Non-Final Rejection — §103
Jan 20, 2026
Interview Requested
Feb 06, 2026
Response Filed
Mar 05, 2026
Final Rejection — §103 (current)

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Prosecution Projections

5-6
Expected OA Rounds
87%
Grant Probability
90%
With Interview (+3.1%)
2y 9m
Median Time to Grant
High
PTA Risk
Based on 651 resolved cases by this examiner. Grant probability derived from career allow rate.

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