Prosecution Insights
Prosecution Insights
Technology area: Transportation, E-Commerce & Mechanical Systems
17 pending office actions • 1 client • 16 examiners • 14 art units • 0 of 17 (0%) have an AI response strategy ready • 19 patents granted in the last 365 days
Sanders IP Law-NVIDIA has managed 1163 career applications in the Transportation, E-Commerce & Mechanical Systems technology area. The firm maintains a resolved allowance rate of 92.52 percent. Its prosecution process averages 3.5 office actions per allowance, reflecting a consistent effort to address examiner objections through multiple rounds of communication. This persistent strategy is a hallmark of the firm's approach to securing patent rights.
The firm currently has 16 pending office actions. This active workload is part of its 1163 career applications. The 92.52 percent allowance rate is a strong performance metric for the mechanical and e-commerce sectors. The 3.5 office actions per allowance figure suggests that the firm is willing to undergo an involved prosecution path to ensure its clients receive granted patents. This combination of a high success rate and a dedicated prosecution style provides significant value to applicants in these technical fields.
Based on the USPTO statutory response window for each pending office action. 5 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
Every pending office action with a known statutory deadline, placed on a days-until-due axis. Dots left of Today are overdue; the further right, the more runway. Cases that share a deadline window stack vertically. 5 of the docket's apps have a known mailing date.
Difficulty is derived from the rejection statutes on the most recent pending office action. §101-driven and multi-statute cases are graded Hard; §112-only and obviousness-type double-patenting cases are graded Easy; everything else is Medium. "Unknown" means we have not yet parsed a statute for that office action.
| Bucket | Cases |
|---|---|
| §101 + other | 1 (6%) |
| §103 only | 8 (47%) |
| §102 only | 3 (18%) |
| Double-patenting + other | 2 (12%) |
| Multi-statute (no §101) | 3 (18%) |
How the docket's pending cases split across USPTO tech-center bands.
Manual office-action response work runs about 10 hours per case. The time-saved bands below show what IP Author's prosecution pipeline typically delivers — a conservative 20% on the low end, 35% in the middle, 50% on the high end.
| Examiner | Apps on this docket | Allow rate | Interview lift |
|---|---|---|---|
| IDOWU, OLUGBENGA O | 2 | 71.6% | +19.0% |
| CAIN, AARON G | 1 | 43.2% | +29.5% |
| CODUROGLU, JALAL C | 1 | 85.8% | +7.4% |
| JACOB, AJITH | 1 | 79.0% | +4.1% |
| NGUYEN, THAN VINH | 1 | 91.0% | +4.2% |
| SAVENKOV, VADIM | 1 | 60.7% | +20.3% |
| ARMSTRONG, JONATHAN D | 1 | 55.1% | +3.6% |
| SHAHABI, ARI ARASTOO | 1 | 56.7% | +41.2% |
| EWALD, JOHN ROBERT DAKITA | 1 | 76.7% | +49.3% |
| SUN, JIANGENG | 1 | 82.3% | +13.4% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19093406 | LOCALIZED IN-SYSTEM TESTING FOR AUTONOMOUS AND SEMI-AUTONOMOUS SYSTEMS AND APPLICATIONS | CODUROGLU, JALAL C | — |
| 18903831 | ADAPTABLE DATA BUFFERING SYSTEM FOR AUTONOMOUS AND SEMI-AUTONOMOUS SYSTEMS AND APPLICATIONS | NGUYEN, THAN VINH | — |
| 18634425 | DETERMINING OCCUPANCY USING SENSOR FUSION FOR AUTONOMOUS SYSTEMS AND APPLICATIONS | SUN, JIANGENG | — |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 4 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18799332 | OBJECT DETECTION USING ULTRASONIC SENSORS FOR AUTONOMOUS SYSTEMS AND APPLICATIONS | ARMSTRONG, JONATHAN D | 9d overdue |
| 17655776 | SENSOR DATA BASED MAP CREATION AND LOCALIZATION FOR AUTONOMOUS SYSTEMS AND APPLICATIONS | COOLEY, CHASE LITTLEJOHN | 15d |
| 19278445 | AUTONMOUS OR SEMI-AUTONOMOUS VEHICLE OPERATIONS | CAIN, AARON G | — |
| 18662241 | GENERATING ARCHITECTURAL AND BEHAVIORAL SYSTEM MODELS FOR AUTONOMOUS SYSTEMS AND APPLICATIONS | SHAHABI, ARI ARASTOO | — |
Cases in front of an examiner whose interview lift is 10 percentage points or more — i.e. interviewed cases historically resolve more favorably than non-interviewed ones. The top 7 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19278445 | AUTONMOUS OR SEMI-AUTONOMOUS VEHICLE OPERATIONS | CAIN, AARON G | — |
| 18806594 | DEVICE INITIALIZATION AND AUTHENTICATION FOR COMPUTING SYSTEMS AND APPLICATIONS | SAVENKOV, VADIM | — |
| 18662241 | GENERATING ARCHITECTURAL AND BEHAVIORAL SYSTEM MODELS FOR AUTONOMOUS SYSTEMS AND APPLICATIONS | SHAHABI, ARI ARASTOO | — |
| 18657540 | EXECUTION SCHEDULE SWITCHING FOR TASK MANAGEMENT OF COMPUTING SYSTEMS | EWALD, JOHN ROBERT DAKITA | — |
| 18634425 | DETERMINING OCCUPANCY USING SENSOR FUSION FOR AUTONOMOUS SYSTEMS AND APPLICATIONS | SUN, JIANGENG | — |
| 18353586 | PROTECTING SENSITIVE DATA ASSOCIATED WITH TRAINING MACHINE LEARNING MODELS | IDOWU, OLUGBENGA O | — |
| 18333519 | MODEL TRAINING USING AUGMENTED DATA FOR MACHINE LEARNING SYSTEMS AND APPLICATIONS | IDOWU, OLUGBENGA O | — |
| Client (Assignee) | Pending OAs |
|---|---|
| NVIDIA | 17 |
| Art Unit | Apps |
|---|---|
| 2671 | 2 |
| 2494 | 2 |
| 3656 | 1 |
| 2161 | 1 |
| 2138 | 1 |
| 2432 | 1 |
| 3645 | 1 |
| 3697 | 1 |
| 2199 | 1 |
| 3665 | 1 |
| App # | Title | Client | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|---|
| 19278445 | AUTONMOUS OR SEMI-AUTONOMOUS VEHICLE OPERATIONS | Nvidia Corporation | CAIN, AARON G | 3656 | §102§103 | Non-Final OA | — | Pending | Jul 23, 2025 |
| 19093406 | LOCALIZED IN-SYSTEM TESTING FOR AUTONOMOUS AND SEMI-AUTONOMOUS SYSTEMS AND APPLICATIONS | Nvidia Corporation | CODUROGLU, JALAL C | §102DP | Non-Final OA | — | Pending | Mar 28, 2025 | |
| 18909636 | ORGANIZING MAPPED REGIONS INTO DISCRETIZED SEGMENTS FOR AUTONOMOUS SYSTEMS AND APPLICATIONS | Nvidia Corporation | JACOB, AJITH | 2161 | §102 | Non-Final OA | — | Pending | Oct 08, 2024 |
| 18903831 | ADAPTABLE DATA BUFFERING SYSTEM FOR AUTONOMOUS AND SEMI-AUTONOMOUS SYSTEMS AND APPLICATIONS | Nvidia Corporation | NGUYEN, THAN VINH | 2138 | §102 | Non-Final OA | — | Pending | Oct 01, 2024 |
| 18806594 | DEVICE INITIALIZATION AND AUTHENTICATION FOR COMPUTING SYSTEMS AND APPLICATIONS | Nvidia Corporation | SAVENKOV, VADIM | 2432 | §103 | Final Rejection | — | Pending | Aug 15, 2024 |
| 18799332 | OBJECT DETECTION USING ULTRASONIC SENSORS FOR AUTONOMOUS SYSTEMS AND APPLICATIONS | Nvidia Corporation | ARMSTRONG, JONATHAN D | 3645 | §102§103 | Final Rejection | 9d overdue | Pending | Aug 09, 2024 |
| 18662241 | GENERATING ARCHITECTURAL AND BEHAVIORAL SYSTEM MODELS FOR AUTONOMOUS SYSTEMS AND APPLICATIONS | Nvidia Corporation | SHAHABI, ARI ARASTOO | 3697 | §101§102 | Final Rejection | — | Pending | May 13, 2024 |
| 18657540 | EXECUTION SCHEDULE SWITCHING FOR TASK MANAGEMENT OF COMPUTING SYSTEMS | Nvidia Corporation | EWALD, JOHN ROBERT DAKITA | 2199 | §103 | Final Rejection | — | Pending | May 07, 2024 |
| 18634425 | DETERMINING OCCUPANCY USING SENSOR FUSION FOR AUTONOMOUS SYSTEMS AND APPLICATIONS | Nvidia Corporation | SUN, JIANGENG | 2671 | §102 | Final Rejection | — | Pending | Apr 12, 2024 |
| 18403536 | MAP DOWNLOAD AND STORAGE MANAGEMENT FOR AUTONOMOUS SYSTEMS AND APPLICATIONS | Nvidia Corporation | JAGOLINZER, SCOTT ROSS | 3665 | §103 | Non-Final OA | 14d | Pending | Jan 03, 2024 |
| 18511828 | PERCEPTION DIVERSITY FOR IDENTIFICATION OF OBJECTS IN ROBOTICS SYSTEMS AND APPLICATIONS | Nvidia Corporation | BILODEAU, DUSTIN E | 2664 | §103 | Non-Final OA | 22d | Pending | Nov 16, 2023 |
| 18465641 | USING HIGH DEFINITION MAPS FOR GENERATING SYNTHETIC SENSOR DATA FOR AUTONOMOUS VEHICLES | Nvidia Corporation | MACIOROWSKI, GODFREY ALEKSANDER | 3658 | §103 | Final Rejection | — | Pending | Sep 12, 2023 |
| 18359618 | ADAPTING MACHINE OPERATION BASED ON ENVIRONMENTAL FACTORS FOR AUTONOMOUS SYSTEMS AND APPLICATIONS | Nvidia Corporation | WHITTINGTON, JESS G | 3666 | §103 | Non-Final OA | — | Pending | Jul 26, 2023 |
| 18353586 | PROTECTING SENSITIVE DATA ASSOCIATED WITH TRAINING MACHINE LEARNING MODELS | Nvidia Corporation | IDOWU, OLUGBENGA O | 2494 | §103 | Non-Final OA | — | Pending | Jul 17, 2023 |
| 18333519 | MODEL TRAINING USING AUGMENTED DATA FOR MACHINE LEARNING SYSTEMS AND APPLICATIONS | Nvidia Corporation | IDOWU, OLUGBENGA O | 2494 | §103 | Non-Final OA | — | Pending | Jun 12, 2023 |
| 17937711 | NEAREST NEIGHBOR SEARCH USING COMPRESSED OCTREES REPRESENTING HIGH DEFINITION MAPS FOR AUTONOMOUS VEHICLES | Nvidia Corporation | KOETH, MICHELLE M | 2671 | §103DP | Non-Final OA | 26d | Pending | Oct 03, 2022 |
| 17655776 | SENSOR DATA BASED MAP CREATION AND LOCALIZATION FOR AUTONOMOUS SYSTEMS AND APPLICATIONS | Nvidia Corporation | COOLEY, CHASE LITTLEJOHN | 3662 | §102§103 | Non-Final OA | 15d | Pending | Mar 21, 2022 |
IP Author helps law firms respond to office actions faster with AI-generated responses, examiner analytics, and prosecution intelligence.
Start Free Trial