For the Inventor, By the Inventor

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Palo Alto, CA, United States of America

Deepmap Inc.

USPTO Granted Patents = 35

% Expired Patents = 2.9

EPO Patents = 2

Forward Citations = 331

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16 inventors (with patents filed for the assignee):

Mark Damon Wheeler (25 out of 71 patents)

Lin Yang (14 out of 32 patents)

Chen Chen (7 out of 40 patents)

4. Ronghua Zhang (5 out of 150 patents)

5. Di Zeng (3 out of 14 patents)

6. Jeffrey Minoru Adachi (3 out of 16 patents)

7. Greg Coombe (2 out of 8 patents)

8. Xiaqing Wu (2 out of 9 patents)

9. Yu Zhang (2 out of 68 patents)

10. Derik Schroeter (1 out of 15 patents)

11. Gil Colgate (1 out of 4 patents)

12. Derek Thomas Miller (1 out of 5 patents)

13. Dongzhen Piao (1 out of 2 patents)

14. Wei Luo (1 out of 5 patents)

15. Lenord Melvix Joseph Stephen Max (1 out of 2 patents)

Core Competencies:

High Definition Maps

Autonomous Vehicles

LIDAR Synchronization

Visual Odometry

Route Generation

Camera Localization

Sensor Data

Occupancy Maps

Traffic Sign Detection

Pose Graphs

Data Calibration

Point Cloud Data

35 patents: Sort by Forward Citations

1. 11068516 - High definition map and route storage management system for autonomous vehicles (2021-07-20),

2. 11041730 - Reverse rendering of an image based on high definition map data (2021-06-22),

3. 10999511 - LIDAR and camera synchronization (2021-05-04),

4. 10962366 - Visual odometry and pairwise alignment for high definition map creation (2021-03-30),

5. 10928523 - Accuracy of global navigation satellite system based positioning using high definition map based localization (2021-02-23),

6. 10928207 - Camera based localization for autonomous vehicles (2021-02-23),

7. 10897575 - Lidar to camera calibration for generating high definition maps (2021-01-19),

8. 10859395 - Lane line creation for high definition maps for autonomous vehicles (2020-12-08),

9. 10845820 - Route generation using high definition maps for autonomous vehicles (2020-11-24),

10. 10841496 - Lidar to camera calibration based on edge detection (2020-11-17),

11. 10837773 - Detection of vertical structures based on LiDAR scanner data for high-definition maps for autonomous vehicles (2020-11-17),

12. 10816346 - Occupancy map updates based on sensor data collected by autonomous vehicles (2020-10-27),

13. 10801845 - High definition map updates with vehicle data load balancing (2020-10-13),

14. 10794711 - High definition map updates based on sensor data collected by autonomous vehicles (2020-10-06),

15. 10670416 - Traffic sign feature creation for high definition maps used for navigating autonomous vehicles (2020-06-02),

Company Overview

Deepmap Inc. is a technology company based in Palo Alto, California, specializing in high-definition mapping and localization solutions for autonomous vehicles. The organization focuses on developing advanced mapping technologies that enhance the navigation capabilities of self-driving cars, ensuring safety and precision in real-time environments. By leveraging cutting-edge research in computer vision and machine learning, Deepmap aims to facilitate the widespread adoption of autonomous driving technology across various sectors.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 6 2026

35 Patents

#55 in Palo Alto, CA

#2,306 in California

#9,740 in US

#19,148 in the World

Palo Alto, CA, United States of America

Deepmap Inc.

Forward Citations = 331

16 inventors:

Mark Damon Wheeler (25 out of 71 patents)

Lin Yang (14 out of 32 patents)

Chen Chen (7 out of 40 patents)

4. Ronghua Zhang (5 out of 150 patents)

5. Di Zeng (3 out of 14 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Deepmap Inc.. Retrieved from https://idiyas.com/company/deepmap

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]

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