IP Library Granted Patent US 12,689,813
Granted Patent B2
US 12,689,813 · App. 18/885,858 · Granted Jul 21, 2026

Systems, apparatus, and methods for generating enhanced images

Inventors: Jia Feng (Mountain View, CA); Damien Kelly (Mountain View, CA); Ignacio Garcia Dorado (Mountain View, CA); Xiaoying He (Mountain View, CA); Benjamin Frevert (Mountain View, CA); Nirav Dharia (Mountain View, CA)
Assignee: Waymo LLC
H04N23/45H04N5/265H04N23/62H04N23/64H04N23/695
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Quick Facts
Patent No.
US 12,689,813
App. No.
18/885,858
Filed
Sep 16, 2024
Granted
Jul 21, 2026
Kind
B2
Art Unit
2639
USPC
348/207.1
Abstract

Described examples relate to an apparatus comprising a first sensor configured to scan an area of interest during a first time period and a second sensor configured to capture a plurality of images of a field of view. The apparatus may include at least one controller configured to receive the plurality of images captured by the second sensor, compare the timestamp information associated with at least one image of the plurality of images to at least one time period of the first time period, and select a base image from the plurality of images based on the comparison.

Claims (27)

1 . A method comprising:

receiving, by a processor, a plurality of images captured by an image sensor having a field of view (FOV), wherein each image of the plurality of images was captured in a respective exposure time period, wherein the plurality of images includes a base image, and wherein the base image was captured in an exposure time period during which a pointing direction of a light detection and ranging (lidar) sensor was aligned with a particular region of the FOV; and

combining, by the processor, the base image with at least one other image of the plurality of images to form a payload image.

2 . The method of claim 1 , wherein the particular region of the FOV is a center of the FOV.

3 . The method of claim 1 , wherein the combining reduces noise in one or more sections of the base image.

4 . The method of claim 1 , wherein the payload image has an improved signal-to-noise (SNR) ratio relative to the base image.

5 . The method of claim 1 , wherein the payload image has an improved image quality relative to the base image.

6 . The method of claim 1 , wherein each image of the plurality of images is associated with timestamp information, further comprising:

selecting, by the processor, the base image based on the timestamp information associated with the base image.

7 . The method of claim 1 , wherein the image sensor is coupled to a vehicle, and wherein the lidar sensor is coupled to the vehicle.

8 . The method of claim 1 , wherein the images are captured by the image sensor operating in a rolling shutter mode.

9 . The method of claim 1 , wherein the exposure time periods of the images of the plurality of images are fixed exposure time periods.

10 . The method of claim 1 , wherein the exposure time periods of the images of the plurality of images are variable exposure time periods.

11 . A system comprising:

one or more processors, wherein the one or more processors are configured to perform operations comprising:

receiving a plurality of images captured by an image sensor having a field of view (FOV), wherein each image of the plurality of images was captured in a respective exposure time period, wherein the plurality of images includes a base image, and wherein the base image was captured in an exposure time period during which a pointing direction of a light detection and ranging (lidar) sensor was aligned with a particular region of the FOV; and

combining the base image with at least one other image of the plurality of images to form a payload image.

12 . The system of claim 11 , wherein the particular region of the FOV is a center of the FOV.

13 . The system of claim 11 , wherein the combining reduces noise in one or more sections of the base image.

14 . The system of claim 11 , wherein the payload image has an improved signal-to-noise (SNR) ratio relative to the base image.

15 . The system of claim 11 , wherein the payload image has an improved image quality relative to the base image.

16 . The system of claim 11 , wherein each image of the plurality of images is associated with timestamp information, wherein the operations further comprise:

selecting the base image based on the timestamp information associated with the base image.

17 . The system of claim 11 , wherein the image sensor is coupled to a vehicle, and wherein the lidar sensor is coupled to the vehicle.

18 . The system of claim 11 , wherein the images are captured by the image sensor operating in a rolling shutter mode.

19 . The system of claim 11 , wherein the exposure time periods of the images of the plurality of images are fixed exposure time periods.

20 . The system of claim 11 , wherein the exposure time periods of the images of the plurality of images are variable exposure time periods.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 16, 2024
From: FENG, JIA; KELLY, DAMIEN; DORADO, IGNACIO GARCIA; HE, XIAOYING; FREVERT, BENJAMIN; DHARIA, NIRAV
To: WAYMO LLC
Reel/Frame 068913/0952 →
Continuity (4)
Continuation 18323685 · May 25, 2023
Continuation 17550255 · Dec 14, 2021
Provisional Application 63132196 · Dec 30, 2020
Related Publication 20250008203A1 · Jan 2, 2025
References Cited (30)
US 8111300B2 · Hwang · 2012 [cited by examiner]
US 9185361B2 · Curry · 2015 [cited by applicant]
US 9251587B2 · Friend et al. · 2016 [cited by applicant]
US 9883112B1 · Igor' Valer'Evich · 2018 [cited by examiner]
US 9931985B1 · Pertsel et al. · 2018 [cited by applicant]
US 10078133B2 · Dussan · 2018 [cited by applicant]
US 10291850B2 · Bendall et al. · 2019 [cited by applicant]
US 11232685B1 · Nixon · 2022 [cited by examiner]
US 11706507B2 · Feng et al. · 2023 [cited by applicant]
US 12126881B2 · Feng et al. · 2024 [cited by applicant]
US 20130093906A1 · Carlsson · 2013 [cited by examiner]
US 20160212338A1 · Seok · 2016 [cited by examiner]
US 20170297488A1 · Wang et al. · 2017 [cited by applicant]
US 20180147986A1 · Chi · 2018 [cited by examiner]
US 20180329066A1 · Pacala · 2018 [cited by examiner]
US 20190086514A1 · Dussan et al. · 2019 [cited by applicant]
US 20190120948A1 · Yang et al. · 2019 [cited by applicant]
US 20190163198A1 · Niesen · 2019 [cited by applicant]
US 20190176841A1 · Englard et al. · 2019 [cited by applicant]
US 20190227168A1 · Low et al. · 2019 [cited by applicant]
US 20190392562A1 · Othon · 2019 [cited by applicant]
US 20200014836A1 · Das et al. · 2020 [cited by applicant]
US 20200099872A1 · Benemann et al. · 2020 [cited by applicant]
US 20200125112A1 · Mao et al. · 2020 [cited by applicant]
US 20200404197A1 · Gassend et al. · 2020 [cited by applicant]
CN 110175576A · 2019 [cited by applicant]
WO 2017058579A1 · 2017 [cited by applicant]
WO 2019039733A1 · 2019 [cited by applicant]
W.S. Yoo et al., “Dynamic key-frame selection for enhanced odometry estimation based on laser scan similarity comparison”, Electronics Letters, vol. 53, Issue 13, Jun. 26, 2017. [cited by applicant]
International Application Serial No. PCT/US2021/063737, Search Report and Written Opinion dated Apr. 11, 2022. [cited by applicant]