This inventor holds 3 USPTO granted patents and 1 published patent application. Top assignee: Plusai Limited. Active years: 2022-2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022-2024
Title: Gael Gurvan Colas: Innovator in Autonomous Driving Technology
Introduction
Gael Gurvan Colas is a prominent inventor based in San Mateo, CA (US). He has made significant contributions to the field of autonomous driving technology. With a total of 3 patents to his name, Colas is recognized for his innovative approaches to data processing in autonomous vehicles.
Latest Patents
Colas's latest patents focus on methods and apparatus for automatically labeling data processing events in autonomous driving vehicles via machine learning. In these embodiments, a method involves receiving sensor data from at least one sensor within a time window. The processor of the autonomous vehicle identifies a first event type occurring at a specific time in the time window using a software model based on the sensor data. The processor extracts at least one attribute associated with the first event. Subsequently, a second event of the same type occurring at a different time is identified based on the extracted attribute. If the second event is not yet recognized as the first event type, the processor generates a first label for the second event.
Career Highlights
Colas has established himself as a key figure in the development of advanced technologies for autonomous vehicles. His work has been instrumental in enhancing the capabilities of machine learning applications in this field.
Collaborations
Colas collaborates with talented individuals such as Mayank Gupta and Anurag Ganguli, contributing to a dynamic team focused on innovation.
Conclusion
Gael Gurvan Colas continues to push the boundaries of technology in autonomous driving, making significant strides in the industry. His work exemplifies the importance of innovation in shaping the future of transportation.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
