Company Filing History:
Years Active: 2025
Title: Sushant Veer: Innovator in Autonomous Vehicle Safety
Introduction
Sushant Veer is a prominent inventor based in Sunnyvale, CA. He has made significant contributions to the field of autonomous vehicle safety, holding 2 patents that focus on enhancing the safety and efficiency of machine operations in complex environments.
Latest Patents
One of Sushant's latest patents is titled "Learning autonomous vehicle safety concepts from demonstrations." This invention involves learning control policies for agents navigating through environments by capturing joint states of entities. The control policy is designed to map these joint states to control actions, allowing for the evaluation of potential collisions between entities operating under the defined control policy. This innovation aims to improve the safety of autonomous vehicles by predicting and mitigating collision risks.
Another notable patent is "Task-relevant failure detection for trajectory prediction in machines." This invention evaluates cost probability distributions related to the predicted locations of objects and machines in an environment. By comparing observed costs to threshold values, the system can detect anomalies and perform control operations accordingly. This capability allows for more efficient motion planning, as it can reuse planned trajectories or generate new ones based on detected anomalies.
Career Highlights
Sushant Veer is currently employed at Nvidia Corporation, where he applies his expertise in autonomous systems and machine learning. His work focuses on developing innovative solutions that enhance the safety and reliability of autonomous vehicles.
Collaborations
Sushant collaborates with talented individuals such as Karen Yan Ming Leung and Marco Pavone, contributing to a dynamic team dedicated to advancing technology in the field of autonomous systems.
Conclusion
Sushant Veer's contributions to autonomous vehicle safety through his innovative patents demonstrate his commitment to improving machine operations in complex environments. His work at Nvidia Corporation and collaborations with esteemed colleagues further highlight his impact in the field.