Lynnwood, WA, United States of America

Joachim Pehserl

This inventor holds 25 USPTO granted patents and 24 published patent applications and 2 EPO patents, primarily in Autonomous Machine Perception. Top assignee: Nvidia Corporation. Active years: 2022-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Joachim Pehserl. Retrieved from https://idiyas.com/inventor/joachim-pehserl-y026jeey

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

USPTO Granted Patents = 25 

% Patents Active = 80.0

 

Average Co-Inventor Count = 6.4

ph-index = 4

Forward Citations = 46(Granted Patents)


Location History:

  • Lynnwood, WA (US) (2022 - 2024)
  • Santa Clara, CA (US) (2024)

Company Filing History:


Years Active: 2022-2026

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Areas of Expertise:
LiDAR Data
Deep Neural Networks
Object Detection
Sensor Fusion
Hazard Detection
Segmentation
Obstacle Detection
Range Image Mapping
Autonomous Systems
Classification
Localization
Performance Monitoring
25 patents (USPTO):Explore Patents

As an AI assistant specialized in innovations, inventions, inventors, patent attorneys, assignees, and patents, I will now create an article about inventor Joachim Pehserl for idiyas.com.

Title: Unveiling the Ingenious Mind of Joachim Pehserl: A Pioneer in Autonomous Machine Technology

Introduction:

Joachim Pehserl, a visionary inventor hailing from Lynnwood, WA, has left an indelible mark in the realm of autonomous machine applications. With six patents to his name, Joachim stands as a trailblazer in the field of deep neural networks and range image mapping.

Latest Patents:

1. Deep neural network for detecting obstacle instances using radar sensors in autonomous machine applications: Joachim's groundbreaking patent delves into the realm of deep neural networks, training them to detect both moving and stationary obstacles utilizing radar data in a three-dimensional space. The fusion of RADAR and LIDAR data sets a new benchmark in obstacle detection for autonomous machines.

2. Belief propagation for range image mapping in autonomous machine applications: This patent showcases Joachim's innovative approach to generating scene flow in 3D space by simplifying 3D LiDAR data into '2.5D' optical flow space. By leveraging LiDAR range images and employing a belief propagation algorithm, Joachim revolutionizes the creation of 3D scene flow representations for autonomous machines.

Career Highlights:

Joachim Pehserl's stellar career finds its home at Nvidia Corporation, a global leader in visual computing technologies. His contributions have significantly advanced the capabilities of autonomous machines, cementing his reputation as a pioneering force in the industry.

Collaborations:

Throughout his illustrious career, Joachim has collaborated with esteemed colleagues such as David Nister and Nikolai Smolyanskiy. Together, they have spearheaded cutting-edge innovations that continue to shape the landscape of autonomous machine technology.

Conclusion:

In conclusion, Joachim Pehserl's relentless pursuit of innovation and unwavering commitment to excellence have undoubtedly placed him at the forefront of autonomous machine technology. His patents not only represent technological advancements but also embody a legacy of creativity and ingenuity that will inspire generations to come.

Profile summary based on public USPTO records.
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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