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:
Jun. 25, 2024

Filed:

Jan. 06, 2022
Applicant:

Toyota Motor Engineering & Manufacturing North America, Inc., Plano, TX (US);

Inventors:

Xuewei Qi, San Ramon, CA (US);

Rui Guo, Plano, TX (US);

Prashant Tiwari, Plano, TX (US);

Chang-Heng Wang, Plano, TX (US);

Takayuki Shimizu, Plano, TX (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G01C 21/00 (2006.01); G01S 13/86 (2006.01); G01S 13/931 (2020.01); G06F 18/25 (2023.01); G06T 7/50 (2017.01); G06V 10/40 (2022.01);
U.S. Cl.
CPC ...
G01C 21/3833 (2020.08); G06F 18/251 (2023.01); G06F 18/253 (2023.01); G06T 7/50 (2017.01); G06V 10/40 (2022.01); G01S 13/865 (2013.01); G01S 13/867 (2013.01); G01S 13/931 (2013.01); G06T 2207/10028 (2013.01); G06T 2207/30244 (2013.01); G06T 2207/30252 (2013.01);
Abstract

Systems and methods are provided for utilizing sensor data from sensors of different modalities and from different vehicles to generate a combined image of an environment. Sensor data, such as a point cloud, generated by a LiDAR sensor on a first vehicle may be combined with sensor data, such as image data, generated by a camera on a second vehicle. The point cloud and image data may be combined to provide benefits over either data individually and processed to provide an improved image of the environment of the first and second vehicles. Either vehicle can perform this processing when receiving the sensor data from the other vehicle. An external system can also do the processing when receiving the sensor data from both vehicles. The improved image can then be used by one or both of the vehicles to improve, for example, automated travel through or obstacle identification in the environment.


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