This inventor holds 1 USPTO granted patent. Top assignee: Cariad Se. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Daniel Degenhardt: Inventor in Vehicle Image Analysis
Introduction
Daniel Degenhardt is an inventor based in Berlin, Germany. His patent work concerns the spatial characterization of vehicle images, a task relevant to interpreting vehicles and their surroundings in image data.
Latest Patents
Degenhardt is associated with 1 patent: “Method for Spatial Characterization of at Least One Vehicle Image.” The method identifies a vehicle in image information by determining a bounding box that separates it from the surrounding environment. It then determines a splitting line to divide the vehicle image into at least two sides and uses these elements to establish the vehicle’s spatial characterization. Machine-learning evaluation, particularly a neural network, is used to determine the bounding box and splitting line.
Career Highlights
Degenhardt is associated with CARIAD SE, a company focused on automotive software. His patent reflects work on applying machine learning to vehicle-image analysis.
Collaborations
Micha Bruns is identified as Degenhardt’s coworker. The available information does not specify whether Bruns collaborated on the patent.
Conclusion
Daniel Degenhardt’s patent describes a machine-learning-based approach to identifying and spatially characterizing vehicles in images, connecting his inventive work with automotive software development.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile