This inventor holds 2 USPTO granted patents. Top assignee: Velodyne Lidar USA, Inc.. Active years: 2021-2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2021-2024
Title: Innovations of Alonso Patron-Perez in Structured Map Data Generation
Introduction
Alonso Patron-Perez is an accomplished inventor based in Elkins Park, PA (US). He has made significant contributions to the field of vehicle sensor technology, particularly in the generation of structured map data. With a total of 2 patents, his work is paving the way for advancements in vehicle navigation and environmental awareness.
Latest Patents
One of Alonso's latest patents focuses on the generation of structured map data from vehicle sensors and camera arrays. This innovative system collects motion and video data from sensors attached to a vehicle as it travels along a path. The data is then processed to produce high-accuracy structured map data, which is essential for precisely locating a moving vehicle within its environment. The system calculates positions based on sensor data and updates them using video data. Additionally, when loops in the vehicle's path are detected, a loop closure error is calculated to refine the positions and reduce sensor bias for future calculations. This method enhances the accuracy of structured map data, which is crucial for modern navigation systems.
Career Highlights
Alonso is currently employed at Velodyne Lidar USA, Inc., where he continues to innovate in the field of lidar technology. His work is instrumental in developing systems that improve vehicle autonomy and safety.
Collaborations
Alonso collaborates with talented individuals such as Nikhil Naikal and Alexander Marques, contributing to a dynamic team focused on advancing vehicle sensor technology.
Conclusion
Alonso Patron-Perez is a notable inventor whose work in structured map data generation is shaping the future of vehicle navigation. His contributions are vital for enhancing the accuracy and reliability of autonomous vehicles.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
