This inventor holds 2 USPTO granted patents and 2 published patent applications. Top assignee: Waymo LLC. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Kratarth Goel: Innovator in Autonomous Vehicle Technology
Introduction
Kratarth Goel is a prominent inventor based in Fremont, CA, specializing in technologies for autonomous vehicles. With a focus on enhancing the capabilities of self-driving systems, he has made significant contributions to the field of motion estimation and data processing.
Latest Patents
Kratarth Goel holds a patent for a method titled "Multi-frame temporal aggregation and dense motion estimation for autonomous vehicles." This innovative method involves obtaining input data from various sensors associated with an autonomous vehicle, including camera and radar data. The process includes extracting multiple sets of bird's-eye view (BEV) features corresponding to different timesteps. By generating an object flow from these features, the method allows for the modification of the vehicle's driving path based on the detected object flow. This patent showcases his expertise in improving the safety and efficiency of autonomous driving technologies. He has 1 patent to his name.
Career Highlights
Kratarth Goel is currently employed at Waymo LLC, a leader in the development of self-driving technology. His work at Waymo involves collaborating with a team of experts to push the boundaries of what autonomous vehicles can achieve. His contributions are vital in ensuring that these vehicles can navigate complex environments safely and effectively.
Collaborations
Kratarth has worked alongside talented colleagues such as Daniel Rudolf Maurer and Alper Ayvaci. Their combined efforts in research and development have led to advancements in the field of autonomous vehicle technology.
Conclusion
Kratarth Goel is a key figure in the innovation of autonomous vehicle systems, with a focus on motion estimation and data processing. His work continues to shape the future of self-driving technology, making significant strides toward safer and more efficient transportation solutions.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
