Company Filing History:
Years Active: 2021-2023
Title: Ariel Keselman: Innovator in Autonomous Navigation Technologies
Introduction
Ariel Keselman is a prominent inventor based in Kiryat Tivon, Israel. He has made significant contributions to the field of autonomous navigation, holding three patents that showcase his innovative approach to real-time mapping and motion planning for autonomous vehicles.
Latest Patents
One of Keselman's latest patents is titled "Real-time generation of functional road maps." This invention involves a method, apparatus, and computer program that generates functional maps in real-time. The process utilizes a sensor mounted on a vehicle to capture a front view of the road ahead. A neural network processes this input to create a functional map, where each pixel corresponds to a predetermined position relative to the vehicle. This method allows for autonomous navigation without relying on pre-determined mapping.
Another notable patent is the "System and method for motion planning of an autonomous driving machine." This invention focuses on producing a motion planning policy for an Autonomous Driving Machine (ADM). It involves creating a search tree that represents the current and predicted conditions of the ADM. A neural network selects quality factors to expand the search tree, ultimately leading to the selection of optimal actions for the ADM.
Career Highlights
Ariel Keselman is currently employed at Imagry Ltd., where he continues to develop cutting-edge technologies in the field of autonomous driving. His work is characterized by a strong emphasis on integrating neural networks with real-time data processing to enhance vehicle navigation systems.
Collaborations
Keselman collaborates with talented individuals such as Adham Ghazali and Nikolai Nikola, contributing to a dynamic team focused on advancing autonomous vehicle technologies.
Conclusion
Ariel Keselman is a key figure in the innovation of autonomous navigation systems, with patents that reflect his expertise and forward-thinking approach. His contributions are paving the way for safer and more efficient autonomous driving solutions.