US 11,899,110 B2
Techniques for detecting cross-talk interferences in LiDAR imaging sensors
Jon Day Allen, La Jolla, CA (US); Dongyi Liao, Mountain View, CA (US); and Mark A. McCord, Los Gatos, CA (US)
Assigned to Cepton Technologies, Inc., San Jose, CA (US)
Filed by Cepton Technologies, Inc., San Jose, CA (US)
Filed on Sep. 10, 2021, as Appl. No. 17/471,732.
Application 17/471,732 is a division of application No. 17/032,526, filed on Sep. 25, 2020, granted, now 11,150,348.
Claims priority of provisional application 62/909,633, filed on Oct. 2, 2019.
Prior Publication US 2021/0405190 A1, Dec. 30, 2021
This patent is subject to a terminal disclaimer.
Int. Cl. G01S 17/10 (2020.01); G01S 17/894 (2020.01); G01S 7/487 (2006.01)
CPC G01S 17/10 (2013.01) [G01S 7/487 (2013.01); G01S 17/894 (2020.01)] 20 Claims
OG exemplary drawing
 
1. A LiDAR system comprising:
a plurality of light sources disposed as an array and configured to emit a plurality of sets of light pulses to be directed toward a scene within a field of view of the LiDAR system, wherein each respective set of light pulses comprises a plurality of light pulses in a temporal sequence, each respective light pulse being emitted by a respective light source of the plurality of light sources;
a plurality of detectors disposed as an array, each respective detector corresponding to a respective light source, the plurality of detectors configured to detect a plurality of return light pulses, at least a subset of the plurality of return light pulses corresponding to the plurality of sets of light pulses that have been reflected off of one or more objects in the scene; and
a processor coupled to the plurality of light sources and the plurality of detectors, the processor configured to:
determine a time of flight for each respective return light pulse of the plurality of return light pulses;
obtain a point cloud based on the times of flight of the plurality of return light pulses, the point cloud including a plurality of points representing one or more surfaces of the one or more objects, each respective point corresponding to a respective return light pulse; and
for each respective point in the point cloud:
analyze spatial and temporal relationships between the respective point and neighboring points in the point cloud; and
evaluate a quality factor for the respective point based on the spatial and temporal relationships.