Company Filing History:
Years Active: 2021-2024
Title: Sriya Sarathy: Innovator in Autonomous Driving Technology
Introduction
Sriya Sarathy is a prominent inventor based in Santa Clara, CA, specializing in technologies that enhance autonomous driving capabilities. With a focus on object detection and machine learning, she has made significant contributions to the field. Her innovative work has led to the filing of 2 patents that address critical challenges in autonomous vehicle technology.
Latest Patents
Sriya's latest patents revolve around object detection and detection confidence suitable for autonomous driving. In various examples, detected object data representative of locations of detected objects in a field of view may be determined. One or more clusters of the detected objects may be generated based at least in part on the locations, and features of the cluster may be determined for use as inputs to machine learning models. A confidence score, computed by the machine learning models based at least in part on the inputs, may be received, where the confidence score may be representative of a probability that the cluster corresponds to an object depicted at least partially in the field of view. Further examples provide approaches for determining ground truth data for training object detectors, such as for determining coverage values for ground truth objects using associated shapes, and for determining soft coverage values for ground truth objects.
Career Highlights
Sriya Sarathy is currently employed at Nvidia Corporation, a leading company in graphics processing and AI technology. Her work at Nvidia has positioned her as a key player in the development of advanced technologies for autonomous vehicles.
Collaborations
Some of her notable coworkers include Tommi Koivisto and Pekka Janis, who collaborate with her on various projects related to autonomous driving technology.
Conclusion
Sriya Sarathy's contributions to the field of autonomous driving through her innovative patents and work at Nvidia Corporation highlight her as a significant figure in the technology landscape. Her dedication to improving object detection systems is paving the way for safer and more efficient autonomous vehicles.