Saratoga, CA, United States of America

Mark Damon Wheeler

USPTO Granted Patents = 69 


 

Average Co-Inventor Count = 2.3

ph-index = 13

Forward Citations = 590(Granted Patents)

Forward Citations (Not Self Cited) = 576(Dec 10, 2025)


Inventors with similar research interests:


Location History:

  • Oakland, CA (US) (2003 - 2012)
  • San Ramon, CA (US) (2010 - 2013)
  • Monte Sereno, CA (US) (2012 - 2017)
  • Monte Screno, CA (US) (2018 - 2021)
  • Saratoga, CA (US) (2019 - 2024)

Company Filing History:


Years Active: 2003-2025

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Areas of Expertise:
Autonomous Vehicles
High Definition Maps
Lidar Calibration
Sensor Calibration
Occupancy Maps
Route Generation
Visual Odometry
Traffic Sign Detection
Geographical Information Systems
Map-Based Constraints
Sensor Data Validation
Navigable Boundaries
69 patents (USPTO):Explore Patents

Title: Mark Damon Wheeler: Pioneering Innovations in Autonomous Vehicle Navigation

Introduction

Mark Damon Wheeler, based in Saratoga, California, is a prolific inventor known for his contributions to high-definition mapping and navigation systems, specifically for autonomous vehicles. With an impressive portfolio of 68 patents, his work plays a crucial role in enhancing the way autonomous vehicles understand and navigate their environments.

Latest Patents

Among Wheeler's latest advancements is the "Detection of misalignment hotspots for high definition maps for navigating autonomous vehicles." This innovation allows a high-definition map system to receive sensor data from vehicles along their routes, which is then synthesized to generate a detailed map for guiding autonomous vehicles. The system builds a pose graph representing the location and orientation of vehicles, optimizing these poses to minimize constraints. Through sophisticated machine-learning-based filtering, it can detect misalignments and improves the accuracy of global pose optimization, ensuring the map remains current and reliable.

Another significant invention is the "Encoding LiDAR scanned data for generating high definition maps for autonomous vehicles." This method efficiently encodes the sensor data collected by autonomous vehicles, utilizing both lossless and lossy compression techniques based on the importance of the LiDAR data. This approach not only simplifies the storage requirements but also enhances the process of constructing high-definition maps by accurately positioning essential road entities relative to a reference centerline.

Career Highlights

Mark Wheeler has made significant strides in the tech industry through his work at leading companies, including DeepMap Inc. and Nvidia Corporation. His ability to blend groundbreaking technology with practical applications has led to numerous advancements in how autonomous systems process and utilize geographical data.

Collaborations

Throughout his career, Mark has collaborated with talented individuals, including Lin Yang and Richard William Bukowski. These partnerships have enriched his research and development efforts, driving forward innovative solutions in the realm of autonomous navigation.

Conclusion

Mark Damon Wheeler stands out as a key figure in the field of autonomous vehicle navigation, with a substantial body of work that continues to shape how technology interacts with transportation. His ongoing innovations promise to enhance the safety and efficiency of autonomous vehicles, setting a benchmark for future developments in this rapidly evolving industry.

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