This inventor holds 2 USPTO granted patents and 1 EPO patent. Top assignees: Audi Ag, Bayerische Motoren Werke Aktiengesellschaft. Active years: 2015-2020.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2015-2020
Title: Helena Mussner: Automotive Innovation and Patented Technologies.
Introduction
Helena Mussner is an inventor based in Munich, Germany, whose patent work addresses vehicle assistance and energy-consumption prediction. Her portfolio includes 2 patents and reflects an interest in improving vehicle guidance and the efficiency of driving strategies.
Latest Patents
Mussner’s patent, “Narrow-passage assistance system in a motor vehicle,” describes a system that uses sensor signals to detect objects on both sides of a vehicle and helps guide it through a restricted space. The system distinguishes between dynamic and static objects, as well as soft and hard objects, and can position the vehicle closer to a static object or a softer object when appropriate.
Her patent, “Method and device for determining a prediction quality for a predicted energy consumption of a motor vehicle,” concerns estimating the reliability of predicted energy consumption. It calculates a tolerance band around a predicted driving profile, allowing an operating strategy to remain in place while actual driving stays within that band. The approach aims to minimize fuel consumption over a specified route.
Career Highlights
Mussner’s listed company affiliations include Audi AG and Bayerische Motoren Werke Aktiengesellschaft (BMW). Her patent topics connect vehicle control and driver assistance with predictive energy management.
Collaborations
Her listed coworkers include Bartono Adiprasito and Jens Papajewski, reflecting professional connections within the automotive innovation community.
Conclusion
Helena Mussner’s patents focus on helping vehicles navigate narrow passages and improving the reliability of energy-consumption predictions, highlighting two practical areas of automotive innovation.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

