Yan Chang is a prominent inventor based in Mountain View, CA. He has made significant contributions to the field of vehicle control through his innovative patent. His work focuses on enhancing the efficiency and accuracy of vehicle navigation systems.

Latest Patents

Yan Chang holds a patent titled "Machine-learned cost estimation in tree search trajectory generation for vehicle control." This invention presents a machine-learned architecture designed to estimate costs determined by a cost function for prediction nodes in a tree search. The architecture consists of two main portions: a setup portion that processes static data and a second portion that handles dynamic object data. These portions utilize various models to generate intermediate outputs projected into a space associated with estimated costs. The estimated cost provides an estimate of the output of the cost function for paths based on specific prediction nodes in the tree search. Yan Chang has 1 patent to his name.

Career Highlights

Yan Chang is currently employed at Zoox, Inc., where he continues to develop innovative solutions for vehicle control. His expertise in machine learning and cost estimation has positioned him as a valuable asset in the automotive technology sector.

Collaborations

Throughout his career, Yan has collaborated with notable colleagues, including Aaron Huang and Peter Scott Schleede. These partnerships have fostered a creative environment that encourages the development of cutting-edge technologies.

Conclusion

Yan Chang's contributions to machine-learned vehicle control exemplify the impact of innovation in the automotive industry. His patent reflects a commitment to advancing technology and improving vehicle navigation systems.