Company Filing History:
Years Active: 2025
Title: Innovations by Manish Saroya in Autonomous Driving Technology
Introduction
Manish Saroya is an accomplished inventor based in Santa Clara, CA. He has made significant contributions to the field of autonomous driving technology, holding a total of 3 patents. His work focuses on enhancing the capabilities of autonomous vehicles through innovative methods and systems.
Latest Patents
Manish Saroya's latest patents include groundbreaking technologies aimed at improving path planning and neural network training. One of his notable inventions is a system that incorporates simulation noise in path planning. This method involves receiving raw data regarding a simulation for an ego agent, generating a noisy simulation, predicting object trajectories, and executing an ego trajectory based on these predictions.
Another significant patent is related to multi-profile quadratic programming (MPQP) for optimal gap selection and speed planning in autonomous driving. This method generates operable driving areas for autonomous vehicles by forming a space-time graph that indicates travel distances along a path trajectory. It segments the graph into viable cells and finds passageways for the vehicle, optimizing the selection of desired passageways using quadratic programming.
Career Highlights
Manish Saroya is currently employed at Honda Motor Co., Ltd., where he continues to develop innovative solutions for autonomous driving. His expertise in simulation and trajectory planning has positioned him as a key contributor to advancements in this rapidly evolving field.
Collaborations
Manish collaborates with talented individuals such as Alexandre Miranda Anon and Sangjae Bae, who share his passion for innovation in automotive technology.
Conclusion
Manish Saroya's contributions to autonomous driving technology through his patents and collaborative efforts highlight his role as a leading inventor in the industry. His work not only advances the capabilities of autonomous vehicles but also sets the stage for future innovations in transportation.
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