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:
May. 14, 2024

Filed:

Jul. 13, 2020
Applicant:

Aptiv Technologies Ag, Schaffhausen, CH;

Inventors:

Denis Rainko, Essen, DE;

Geng Fu, Belmont, MA (US);

Ali Haddadpour, Boston, MA (US);

Roman Dietz, Berlin, DE;

Assignee:

Aptiv Technologies AG, Schaffhausen, CH;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01S 17/894 (2020.01); G01S 7/481 (2006.01); G01S 7/483 (2006.01); G01S 17/931 (2020.01);
U.S. Cl.
CPC ...
G01S 17/894 (2020.01); G01S 7/481 (2013.01); G01S 7/483 (2013.01); G01S 17/931 (2020.01);
Abstract

This document describes a time-of-flight lidar system configured to process pulse trains instead of individual pulses, for improved range resolution and pixel throughput. Each pulse in the pulse train is output at a respective duration and intensity, which may vary to provoke a return with a high-intensity and low signal ambiguity, prevent thermal build-up, or promote safe ocular operation. An expected intensity of the return as a function of time can be determined. By sampling reflections at the expected times and intensities, the lidar system quickly identifies a corresponding lidar return, even despite lidar noise. A return time of the return can indicate a distance or speed associated with an object pixel in a field-of-view. Processing pulse trains instead of individual pulses allows pixels to be scanned faster than using long durations or frame times, which also promotes ocular safety. Increased throughput is realized using low-energy lasers and inexpensive hardware, which minimize thermal footprint.


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