Camarillo, CA, United States of America

Jonas Soderqvist

This inventor holds 1 USPTO granted patent. Top assignee: Volvo Car Corporation. Active years: 2017.


% Patents Active = 100.0

Average Co-Inventor Count = 7.0

ph-index = 1

Forward Citations = 8(Granted Patents)


Company Filing History:


Years Active: 2017

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1 patent (USPTO):Explore Patents

Title: Innovations by Jonas Soderqvist in Autonomous Driving Technology

Introduction

Jonas Soderqvist is an accomplished inventor based in Camarillo, CA (US). He has made significant contributions to the field of autonomous driving technology. His innovative work focuses on enhancing the capabilities of vehicles equipped with autonomous driving features.

Latest Patents

Jonas holds a patent for an "Apparatus and method for prediction of time available for autonomous driving, in a vehicle having autonomous driving capabilities." This invention provides a method and apparatus for predicting the time available for autonomous driving. It utilizes at least one remote sensor to acquire vehicle surrounding information and at least one vehicle dynamics sensor to determine vehicle dynamics parameters. The system includes a positioning arrangement for map data, a route planning arrangement, and a real-time information acquiring arrangement. The calculated time is output to a human-machine interface in the vehicle, enhancing the driving experience.

Career Highlights

Jonas Soderqvist is currently employed at Volvo Car Corporation, where he continues to innovate in the automotive sector. His work is pivotal in advancing the technology that supports autonomous driving capabilities.

Collaborations

He collaborates with notable colleagues such as Jesper Andreasson and Erik Coelingh, contributing to a dynamic team focused on pushing the boundaries of automotive technology.

Conclusion

Jonas Soderqvist's contributions to autonomous driving technology exemplify the innovative spirit of modern inventors. His patent reflects a commitment to improving vehicle safety and efficiency through advanced predictive methods.

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