Company Filing History:
Years Active: 2020-2025
Title: Innovations of Bryce A. Evans
Introduction
Bryce A. Evans is a notable inventor based in San Mateo, CA, who has made significant contributions to the field of object tracking through advanced sensor data techniques. With a total of 4 patents to his name, Evans has been at the forefront of developing innovative solutions that enhance the accuracy and safety of various systems.
Latest Patents
Among his latest patents, one focuses on "Tracking objects using sensor data segmentations and/or representations." This patent discloses techniques for tracking objects in sensor data, such as multiple images or LIDAR clouds. The methods involve comparing segmentations of sensor data by determining the similarity between different segmentations. This comparison includes calculating embeddings associated with each segmentation and measuring the distance between them. Such techniques aim to improve the accuracy and safety of systems that integrate these methods. Another significant patent is "Image embedding for object tracking," which outlines techniques for implementing a neural network that outputs embeddings. This neural network can be trained using sensor data to learn embeddings for object identification, matching, classification, and tracking.
Career Highlights
Bryce A. Evans is currently employed at Zoox, Inc., where he continues to innovate in the field of autonomous systems. His work at Zoox has allowed him to apply his expertise in sensor data and neural networks to real-world applications, contributing to the advancement of technology in the automotive industry.
Collaborations
Evans collaborates with talented individuals such as Sarah Tariq and Derek Xiang Ma, who contribute to the innovative environment at Zoox, Inc. Their combined efforts foster a culture of creativity and technological advancement.
Conclusion
Bryce A. Evans exemplifies the spirit of innovation through his patents and contributions to object tracking technology. His work not only enhances the capabilities of autonomous systems but also sets a foundation for future advancements in the field.