The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 20, 2020

Filed:

Dec. 27, 2018
Applicant:

Baidu Usa Llc, Sunnyvale, CA (US);

Inventors:

Kecheng Xu, Sunnyvale, CA (US);

Haoyang Fan, Sunnyvale, CA (US);

Yajia Zhang, Sunnyvale, CA (US);

Qi Luo, Sunnyvale, CA (US);

Jiacheng Pan, Sunnyvale, CA (US);

Jinghao Miao, Sunnyvale, CA (US);

Assignee:

BAIDU USA LLC, Sunnyvale, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G05D 1/00 (2006.01); G05D 1/02 (2020.01); G06N 20/00 (2019.01); G06N 3/08 (2006.01); G06K 9/00 (2006.01); B60W 40/072 (2012.01); G06N 5/04 (2006.01); B60W 60/00 (2020.01); B60W 30/095 (2012.01);
U.S. Cl.
CPC ...
G05D 1/0221 (2013.01); B60W 40/072 (2013.01); G05D 1/0088 (2013.01); G06K 9/00805 (2013.01); G06N 3/08 (2013.01); G06N 5/046 (2013.01); G06N 20/00 (2019.01); B60W 30/095 (2013.01); B60W 30/0956 (2013.01); B60W 60/0011 (2020.02); B60W 2555/60 (2020.02); G05D 2201/0213 (2013.01);
Abstract

In one embodiment, a data processing system for an autonomous driving vehicle (ADV) includes a processor, and a memory coupled to the processor to store instructions, which when executed by the processor, cause the processor to perform operations. The operations include generating a station-time (ST) graph based on perception data obtained from one or more sensors of the ADV, the ST graph including representing a location of an obstacle at different points in time, obtaining a tensor based on the ST graph, the tensor including a plurality of layers, the plurality of layers including a first layer having data representing one or more obstacles on a path in which the ADV is moving, applying a machine-learning model to the plurality of layers of the tensor to generate a plurality of numerical values, the plurality of numerical values defining a potential path trajectory of the ADV, and determining a path trajectory of the ADV based on the plurality of numerical values.


Find Patent Forward Citations

Loading…