Sai Bhargav Yalamanchi

Title: Innovations by Sai Bhargav Yalamanchi

Introduction

Sai Bhargav Yalamanchi is an accomplished inventor based in Pittsburgh, PA. He has made significant contributions to the field of autonomous devices, holding a total of 4 patents. His work focuses on enhancing the capabilities of predictive models and trajectory prediction systems.

Latest Patents

One of his latest patents involves trajectory prediction for autonomous devices. This patent outlines systems, methods, and tangible non-transitory computer-readable media that facilitate trajectory prediction. The technology allows for the access of trajectory data and goal path data, which can be associated with an object's predicted trajectory. The predicted trajectory includes waypoints linked to waypoint position uncertainty distributions based on an expectation maximization technique. Additionally, the goal path data is associated with a goal path, indicating the locations the object is expected to travel. The patent also describes how solution waypoints can be determined through optimization techniques, maximizing the probability of each solution waypoint. Stitched trajectory data is generated based on these solution waypoints, which are connected to portions of the solution waypoints and the goal path.

Another significant patent by Yalamanchi focuses on systems and methods for training predictive models for autonomous devices. This method includes receiving a rasterized image related to a training object and generating a predicted trajectory by inputting the image into a machine-learned model. The predicted trajectory is then converted into a rasterized trajectory that spatially corresponds to the original image. The method also involves utilizing a second machine-learned model to assess the accuracy of the predicted trajectory and determining an overall loss for the first model based on this accuracy. The first machine-learned model is trained by minimizing this overall loss.

Career Highlights

Yalamanchi is currently employed at UATC, LLC, where he continues to innovate in the field of autonomous technology. His work has garnered attention for its practical applications and contributions to the advancement of machine learning and predictive modeling.

Collaborations

He collaborates with talented individuals such as Nemanja Djuric and Henggang Cui, contributing to a dynamic work environment that fosters innovation and creativity.

Conclusion

Sai Bhargav Yalamanchi is a notable inventor whose work in trajectory prediction and machine learning is shaping the future of autonomous devices. His patents reflect a commitment to advancing technology and improving predictive capabilities in various applications.