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Kevin Lee Wyffels

USPTO Granted Patents = 16 (Patent Applications = 4)

Average Co-Inventor Count = 1.3

ph-index = 2

Forward Citations = 20(Granted Patents)

Location History:

Canton, MI (US) (2019)
Livonia, MI (US) (2021 - 2024)

Company Filing History:

12 out of 25,946

Ford Global Technolgoies, LLC

Years Active: 2019-2025

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16 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12466428 - Enhanced static object classification using LiDAR (2025-11-11),

2. 12436285 - Systems and methods for temporal decorrelation of object detections for probabilistic filtering (2025-10-07),

3. 12428029 - Systems and methods for estimating cuboid headings based on heading estimations generated using different cuboid defining techniques (2025-09-30),

4. 12118798 - Autonomous vehicle system for performing object detections using a logistic cylinder pedestrian model (2024-10-15),

5. 12118732 - Systems and methods for object detection with LiDAR decorrelation (2024-10-15),

6. 12043290 - State identification for road actors with uncertain measurements based on compliant priors (2024-07-23),

7. 11919546 - Systems and methods for estimating cuboids from LiDAR, map and image data (2024-03-05),

8. 11885886 - Systems and methods for camera-LiDAR fused object detection with LiDAR-to-image detection matching (2024-01-30),

9. 11841927 - Systems and methods for determining an object type and an attribute for an observation based on fused sensor data (2023-12-12),

10. 11731662 - Autonomous vehicle system for detecting pedestrian presence (2023-08-22),

11. 11628856 - Systems and methods for estimating cuboids from LiDAR, map and image data (2023-04-18),

12. 11420647 - Enhanced static object classification using lidar (2022-08-23),

13. 11361201 - Systems and methods for determining an object type and an attribute for an observation based on fused sensor data (2022-06-14),

14. 10891744 - Determining the kinetic state of a body using LiDAR point cloud registration with importance sampling (2021-01-12),

15. 10449956 - Object tracking by unsupervised learning (2019-10-22),

Title: The Innovative Mind of Kevin Lee Wyffels

Introduction

Kevin Lee Wyffels is an accomplished inventor based in Livonia, MI, known for his significant contributions to the field of autonomous vehicle technology. With a portfolio of 13 patents, his work stands at the intersection of advanced engineering and cutting-edge innovations.

Latest Patents

Among Wyffels' latest patents is the "Autonomous vehicle system for performing object detections using a logistic cylinder pedestrian model." This invention focuses on processing point cloud data from autonomous vehicles, optimizing parameters to maximize the probability distribution of pedestrian detection. The system effectively distinguishes between pedestrian and non-pedestrian data points, enhancing safety for autonomous systems.

Another notable patent is for "Systems and methods for object detection with LiDAR decorrelation." This invention outlines a method for improving object detection accuracy by integrating data from both LiDAR and camera systems of autonomous vehicles. By analyzing object detection information from both sources, this technology facilitates improved autonomous driving operations, ensuring a safer and more reliable user experience.

Career Highlights

Wyffels has a rich professional history, having worked with prominent companies such as Ford Global Technologies and Argo AI. His experience in these organizations reflects his deep commitment to developing revolutionary technologies that transform the transportation sector.

Collaborations

Throughout his career, Kevin has collaborated with leading professionals in the industry, including G Peter K Carr and Wulue Zhao. These collaborations have further enriched his understanding and execution of complex projects in autonomous vehicle development.

Conclusion

Kevin Lee Wyffels continues to push the boundaries of innovation in autonomous vehicle technologies. With his impressive portfolio of patents and collaborative spirit, he remains a vital figure in the quest for safer and more efficient transportation solutions. His contributions are paving the way for the future of mobility, making profound impacts in the world of autonomous driving.

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