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. 18, 2022

Filed:

Apr. 03, 2019
Applicant:

The Regents of the University of Michigan, Ann Arbor, MI (US);

Inventors:

Ding Zhao, Dearborn, MI (US);

Senyu Mou, Dearborn, MI (US);

Yan Chang, Dearborn, MI (US);

Wenshuo Wang, Dearborn, MI (US);

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G01S 7/497 (2006.01); G01S 17/93 (2020.01); G01S 17/931 (2020.01);
U.S. Cl.
CPC ...
G01S 17/931 (2020.01); G01S 7/497 (2013.01);
Abstract

In one embodiment, example systems and methods related to a manner of optimizing LiDAR sensor placement on autonomous vehicles are provided. A range-of-interest is defined for the autonomous vehicle that includes the distances from which the autonomous vehicle is interested in collecting sensor data. The range-of-interest is segmented into multiple cubes of the same size. For each LiDAR sensor, a shape is determined based on information such as the number of lasers in each LiDAR sensor and the angle associated with each laser. An optimization problem is solved using the determined shape for each LiDAR sensor and the cubes of the range-of-interest to determine the locations to place each LiDAR sensor to maximize the number of cubes that are captured. The optimization problem may further determine the optimal pitch angle and roll angle to use for each LiDAR sensor to maximize the number of cubes that are captured.


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