Waymo LLC

Zhishuai Zhang

Junhua Mao

Dragomir Dimitrov Anguelov

Khaled Refaat

Congcong Li

Jiyang Gao

Tian Lan

Xinwei Shi

Jiachen Li

Jeonhyung Kang

Jonathan Chandler Stroud

Yukai Liu

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium that determine yield behavior for an autonomous vehicle, and can include identifying an agent that is in a vicinity of an autonomous vehicle navigating through a scene at a current time point. Scene features can be obtained and can include features of (i) the agent and (ii) the autonomous vehicle. An input that can include the scene features can be processed using a first machine learning model that is configured to generate (i) a crossing intent prediction that includes a crossing intent score that represents a likelihood that the agent intends to cross a roadway in a future time window after the current time, and (ii) a crossing action prediction that includes a crossing action score that represents a likelihood that the agent will cross the roadway in the future time window after the current time.

Pedestrian crossing intent yielding

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing point cloud data using spatio-temporal-interactive networks.

Spatio-temporal-interactive networks

Growing community of inventors

Baltimore, MD, United States of America

Zhishuai Zhang