Leland Stanford Junior University

Waymo LLC

Toyota Research Institute, Inc.

Hsu-kuang Chiu

Yang Song

Rares A Ambrus

Jie Li

Edward Stephen Walker, Jr

Zijian Guo

Andre Liang Cornman

Christin Jeannette Bohg

David Lee

Yuanfang Wang

Zhengli Zhao

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for open vehicle doors prediction using a neural network model. One of the methods includes: obtaining sensor data (i) that includes a portion of a point cloud generated by a laser sensor of an autonomous vehicle and (ii) that characterizes a vehicle that is in a vicinity of the autonomous vehicle in an environment; and processing the sensor data using an open door prediction neural network to generate an open door prediction that predicts a likelihood score that the vehicle has an open door.

Open vehicle doors prediction using a neural network model

Systems and methods for tracking objects are disclosed herein. In one embodiment, a system having a processor merges features of detected objects extracted from a point cloud and a corresponding image to generate fused features for the detected objects, generates a learned distance metric for the detected objects using the fused features, determines matched detected objects and unmatched detected objects, applies prior tracking identifiers of the detected objects at the prior time to the matched detected objects, determines a confidence score for the fused features of the unmatched detected objects, and applies new tracking identifiers to the unmatched detected objects based on the confidence score.

System and method for tracking detected objects

Growing community of inventors

Mountain View, CA, United States of America

Hsu-kuang Chiu