Zoox, Inc.

Woodrow Zhouyuan Wang

Linjun Zhang

Kai Zhenyu Wang

Gowtham Garimella

Samir Parikh

Benjamin Isaac Mattinson

Chunlei Dai

Xiaobo Ren

Yousef Ali Emam

A machine-learned architecture for determining whether an object is relevant to a vehicle's action planning may comprise a convolutional neural network, graph neural network, and/or multi-layer perceptron that may determine a relevance score associated with an object that indicates indicating whether an object is likely to impact operation(s) of a vehicle. In some examples, the machine-learned architecture may use scene information and/or an object track to determine the relevance score.

Machine-learned model for detecting object relevance to vehicle operation planning

Growing community of inventors

San Antonio, TX, United States of America

Woodrow Zhouyuan Wang