DETAILED ACTION
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 .
Claim Rejections - 35 USC § 102
The following is a quotation of the appropriate paragraphs of 35 U.S.C. 102 that form the basis for the rejections under this section made in this Office action:
A person shall be entitled to a patent unless –
(a)(2) the claimed invention was described in a patent issued under section 151, or in an application for patent published or deemed published under section 122(b), in which the patent or application, as the case may be, names another inventor and was effectively filed before the effective filing date of the claimed invention.
Claim(s) 1-2 and 7-8 is/are rejected under 35 U.S.C. 102(a)(2) as being anticipated by Yu et al. (US 2025/0299358 A1).
Consider claim 1, Yu teaches a lane line detection ([0057]) method, comprising: extracting multiple deep features from an image by a deep feature extractor ([0045] and [0060] – [0062]); adopting the image and the deep features by a primary algorithm model to generate a first error value, and returning the first error value to the deep feature extractor ([0060] – [0068]; focal loss and spatial association loss. [0080] – [0091]); adopting the image and the deep features by an auxiliary algorithm model to generate a second error value, and returning the second error value to the deep feature extractor ([0060] – [0068]; the localization and alignment loss function. [0080] – [0091]); adjusting the extracted deep features by the deep feature extractor according to the first error value and the second error value ([0060] – [0068]; [0080] – [0091]).
Consider claim 2, Yu teaches the method further comprises generating a lane line detection result by the deep feature extractor and the primary algorithm model ([0069] – [0073], [0092] – [0098]).
Consider claim 7, claim 7 recites the system that implements the method recited in claim 1. Thus, it is rejected for the same reasons.
Consider claim 8, Yu teaches the system further comprises a decoder configured to output a lane line detection result, wherein the lane line detection result is generated by the deep feature extractor and the primary algorithm model ([0069] – [0073], [0092] – [0098]).
Allowable Subject Matter
Claims 3-6 and 9-10 are objected to as being dependent upon a rejected base claim, but would be allowable if rewritten in independent form including all of the limitations of the base claim and any intervening claims.
Conclusion
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/TAT C CHIO/ Primary Examiner, Art Unit 2486
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