Company Filing History:
Years Active: 2022-2024
Title: Jason Ziglar: Innovator in Object Detection Technologies
Introduction
Jason Ziglar is a prominent inventor based in Pittsburgh, PA (US). He has made significant contributions to the field of object detection, particularly in the context of autonomous vehicles. With a total of 8 patents to his name, Ziglar's work focuses on enhancing the safety and efficiency of autonomous driving systems.
Latest Patents
Ziglar's latest patents include innovative systems and methods for camera-LiDAR fused object detection with local variation segmentation. This technology is crucial for controlling autonomous vehicles. The methods involve obtaining a LiDAR dataset generated by a LiDAR system of the autonomous vehicle and using this dataset along with images to detect objects in proximity to the vehicle. The detection process includes computing a distribution of object detections for each point in the LiDAR dataset, creating segments of LiDAR data points, and identifying objects within a point cloud defined by the dataset. This object detection technology facilitates various autonomous driving operations.
Another notable patent focuses on object detection using stereovision information. This method involves obtaining intensity values that indicate differences in the location of objects between two images. These intensity values are converted into 3D position values, which are then classified to detect objects in either the foreground or background of the images.
Career Highlights
Throughout his career, Jason Ziglar has worked with leading companies in the automotive technology sector. He has been associated with Argo AI and Ford Global Technologies, LLC, where he has contributed to the development of advanced technologies for autonomous vehicles.
Collaborations
Ziglar has collaborated with notable professionals in his field, including Xiaoyan Hu and Lingyuan Wang. Their combined expertise has furthered the advancements in object detection technologies.
Conclusion
Jason Ziglar's innovative work in object detection technologies has significantly impacted the development of autonomous vehicles. His patents reflect a commitment to enhancing safety and efficiency in this rapidly evolving field.
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