Prosecution Insights
Last updated: August 15, 2026
Application No. 18/645,725

LIDAR SYSTEM AND METHOD FOR ENVIRONMENT MAPPING AND/OR LIDAR DATA ANALYSIS

Non-Final OA §102
Filed
Apr 25, 2024
Priority
Apr 25, 2023 — provisional 63/461,748 +1 more
Examiner
BAGHDASARYAN, HOVHANNES
Art Unit
Tech Center
Assignee
Red Leader Technologies Inc.
OA Round
1 (Non-Final)
78%
Grant Probability
Favorable
1-2
OA Rounds
9m
Est. Remaining
94%
With Interview

Examiner Intelligence

Grants 78% — above average
78%
Career Allowance Rate
772 granted / 995 resolved
+17.6% vs TC avg
Strong +17% interview lift
Without
With
+16.7%
Interview Lift
resolved cases with interview
Typical timeline
3y 0m
Avg Prosecution
74 currently pending
Career history
1071
Total Applications
across all art units

Statute-Specific Performance

§101
2.9%
-37.1% vs TC avg
§103
50.8%
+10.8% vs TC avg
§102
14.4%
-25.6% vs TC avg
§112
25.8%
-14.2% vs TC avg
Black line = Tech Center average estimate • Based on career data from 995 resolved cases

Office Action

§102
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)(1) the claimed invention was patented, described in a printed publication, or in public use, on sale, or otherwise available to the public before the effective filing date of the claimed invention. Claim(s) 1 and claims bellow are rejected under 35 U.S.C. 102(a)(1) as being anticipated by D1 US 20090103773 A1. Regarding claim 1 D1 teaches A method for environment mapping, comprising: receiving lidar data comprising a plurality of temporal signals[0011](LIDAR Signals are temporal signals), each temporal signal of the plurality associated with a different spatial heading(inherent);[0011] generating a spatial representation associated with an array in angle space,(fig. 12 Z vs X is theta vs phi) comprising mapping each temporal signal of the plurality onto the grid, where In the spatial representation is associated with a time dimension and at least one spatial angle dimension;(fig. 13 , 12 ) selecting a set of data slices from the spatial representation; [0016] for each data slice of the set, generating a respective filtered slice, comprising applying a spatial filter to the data slice; and [0066]-[0070]+[0071]( either 1205 , 1210 or cylindrical filter 1175 ) based on the filtered slices, determining a plurality of processed vectors[0083-0085], each processed vector of the plurality associated with a different spatial heading. [0083-0085](implicit) 2. The method of Claim 1, wherein each temporal signal of the plurality is representative of received signal intensity as a function of optical probe signal propagation time. (implicit it is LIDAR signal which is TOF intensity distribution) 3.The method of Claim 1, further comprising, before generating the spatial representation, sampling the lidar data, comprising: transmitting a plurality of optical probe signals into an environment, each optical probe signal of the plurality transmitted along a different spatial heading; receiving reflections of optical probe signals of the plurality; and determining the plurality of temporal signals based on the reflections.[0006-0011](inherent) 4. The method of Claim 3, wherein determining the plurality of temporal signals comprises, for each optical probe signal of the plurality: sampling a respective temporal signal of the plurality of temporal signals, the respective temporal signal representative of received signal intensity as a function of optical probe signal propagation time, the respective temporal signal associated with the respective spatial heading along which the optical probe signal was transmitted. [0006-0011](inherent LIDar signals are time of flight intensity distributions for each scanned point ) 5. The method of Claim 1, wherein: the at least one spatial angle dimension comprises a first angle dimension and a second angle dimension, wherein the spatial representation is associated with the first angle dimension and the second angle dimension; and each data slice of the set is a two-dimensional data slice.(fig. 12 ) 6. The method of Claim 5, wherein, for each data slice of the set, applying the spatial filter comprises applying a non-linear filter.([0053] conical or cylindrical filter) 9. The method of Claim 5, further comprising determining a surface normal of a surface present in the environment; wherein a first data slice of the set is sliced substantially along the surface normal.[0083] 10. The method of Claim 9, wherein determining the surface normal is performed based on the spatial representation.[0083] 11. The method of Claim 9, wherein determining the surface normal comprises performing simultaneous localization and mapping.[0083-0085] 12. The method of Claim 9, further comprising receiving auxiliary information about the environment, the auxiliary information indicative of a position of the surface; wherein determining the surface normal is performed based on the auxiliary information.[0083-0086](implicit) 13. The method of Claim 1, further comprising, based on the filtered slices, generating a processed spatial representation associated with the time dimension and the at least one spatial angle dimension; wherein each processed vector of the plurality is selected from the processed spatial representation .[0083-0086 14. The method of Claim 1, further comprising generating a point cloud, comprising detecting peaks in processed vectors of the plurality.(claim 2 implicit) 17. The method of Claim 1, wherein the spatial representation comprises a sparse array, in the angle space, of temporal signals.(implicit fig. 12) Allowable Subject Matter Claims 7, 8, 15, 16, 18, 20 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 Additional art US 20040081340 A1 also teaches slicing the data and analyzing it. Any inquiry concerning this communication or earlier communications from the examiner should be directed to HOVHANNES BAGHDASARYAN whose telephone number is (571)272-7845. The examiner can normally be reached Mon-Fri 7am - 5 pm. Examiner interviews are available via telephone, in-person, and video conferencing using a USPTO supplied web-based collaboration tool. To schedule an interview, applicant is encouraged to use the USPTO Automated Interview Request (AIR) at http://www.uspto.gov/interviewpractice. If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, Yuqing Xiao can be reached at (571) 270-3603. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300. Information regarding the status of published or unpublished applications may be obtained from Patent Center. Unpublished application information in Patent Center is available to registered users. To file and manage patent submissions in Patent Center, visit: https://patentcenter.uspto.gov. Visit https://www.uspto.gov/patents/apply/patent-center for more information about Patent Center and https://www.uspto.gov/patents/docx for information about filing in DOCX format. For additional questions, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). If you would like assistance from a USPTO Customer Service Representative, call 800-786-9199 (IN USA OR CANADA) or 571-272-1000. /HOVHANNES BAGHDASARYAN/Examiner, Art Unit 3645
Read full office action

Prosecution Timeline

Apr 25, 2024
Application Filed
Jul 28, 2026
Non-Final Rejection mailed — §102 (current)

Precedent Cases

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Study what changed to get past this examiner. Based on 5 most recent grants.

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Prosecution Projections

1-2
Expected OA Rounds
78%
Grant Probability
94%
With Interview (+16.7%)
3y 0m (~9m remaining)
Median Time to Grant
Low
PTA Risk
Based on 995 resolved cases by this examiner. Grant probability derived from career allowance rate.

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