IP Library Granted Patent US 12,552,374
Granted Patent B2
US 12,552,374 · App. 18/678,811 · Granted Feb 17, 2026

Systems and methods for operating one or more self-driving vehicles

Inventors: Ryan Christopher Gariepy (Kitchener, CA); Yvan Geoffrey Rodrigues (Kitchener, CA); Matthew Lord (Kitchener, CA); Ivor Wanders (Kitchener, CA); Jason Mercer (Kitchener, CA); James Servos (Kitchener, CA); Roydyn Clayton (Kitchener, CA)
Assignee: ROCKWELL AUTOMATION TECHNOLOGIES, INC.
B60W30/09B60W30/165G01C21/343G01C21/3667
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,552,374
App. No.
18/678,811
Granted
Feb 17, 2026
Kind
B2
Abstract

The various embodiments described herein generally relate to systems and methods for operating one or more self-driving vehicles. In some embodiments, the self-driving vehicles may include a vehicle processor being operable to: control the vehicle to navigate an operating environment in an initial vehicle navigation mode; monitor for one or more trigger conditions indicating a possible change for the vehicle navigation mode; detect a trigger condition; determine a prospective vehicle navigation mode associated with the detected trigger condition; determine whether to change from the initial vehicle navigation mode to the prospective vehicle navigation mode; and in response to determining to change from the initial vehicle navigation mode to the prospective vehicle navigation mode, adjust one or more vehicle attributes corresponding to the prospective vehicle navigation mode, otherwise continue to operate the vehicle in the initial vehicle navigation mode.

Claims (44)

1 . A method for operating a self-driving vehicle within an environment comprising one or more pre-defined zones, each pre-defined zone being associated with one or more vehicle safety profiles defining at least one or more travel parameters, the self-driving vehicle comprising a vehicle processor, the method comprising operating the vehicle processor to:

determine an initial position of the vehicle using a first vehicle localization method;

evaluate whether the initial position is within a pre-defined zone of the one or more pre-defined zones;

in response to determining the initial position is within the pre-defined zone:

determine an initial safety performance level of a sensing system operated to conduct the first vehicle localization method; and

evaluate whether the initial safety performance level associated with the sensing system complies with a required safety performance level of the pre-defined zone;

in response to determining that the initial safety performance level does not comply with the required safety performance level, initiate a second vehicle localization method to identify an enhanced position of the self-driving vehicle, the second vehicle localization method being operable to enhance an accuracy of the initial position identified by the first vehicle localization method and the second vehicle localization method being associated with a safety performance level that is one of equal to the initial safety performance level or a higher safety performance level;

and

operate the self-driving vehicle according to one or more vehicle operating attributes compliant with the environment in which the self-driving vehicle is located, wherein the self-driving vehicle is operated according to the one or more vehicle operating attributes of the associated vehicle safety profile when located within the pre-defined zone.

2 . The method of claim 1 , wherein the pre-defined zone is a pedestrian-exclusion zone, and the one or more vehicle operating attributes comprise one or more of an increased detection range and an increased vehicle travelling speed.

3 . The method of claim 1 , wherein the pre-defined zone is a high traffic pedestrian zone, and the one or more vehicle operating attributes comprise one or more of an increased detection range and a decreased vehicle travelling speed.

4 . The method of claim 1 , wherein the one or more pre-defined zones are defined in an electronic map accessible to the vehicle processor.

5 . The method of claim 1 , wherein a storage medium is coupled to the vehicle processor, the storage medium storing the initial safety performance level of the sensing system operated to conduct the first vehicle localization method and the safety performance level associated with the second vehicle localization method.

6 . The method of claim 5 , the method further comprises operating the vehicle processor to:

determine whether the initial position comprises location data corresponding to a different location than a location corresponding to the enhanced position;

in response to determining that the initial position is different than the second position, determine that at least one of the initial safety performance level and the safety performance level associated with the second vehicle localization method satisfies the required safety performance level; and select a vehicle location to be one of the initial position and the second position according to which of the associated safety performance level satisfies the required safety performance level.

7 . The method of claim 1 , wherein the sensing system further comprises at least one first sensor and at least one second sensor, each being coupled to the vehicle processor, and the method further comprises operating the vehicle processor to:

determine the initial position using the at least one first sensor; and

determine the enhanced position using the at least one second sensor.

8 . The method of claim 7 , wherein the vehicle processor comprises a first vehicle processor being coupled to the at least one first sensor, and a second vehicle processor being coupled to the at least one second sensor, and the method further comprises operating the first vehicle processor to:

based on first sensor data generated by the at least one first sensor, determine the initial position; and

based on second sensor data generated by the at least one second sensor, determine the enhanced position.

9 . The method of claim 1 , wherein the method further comprises operating the vehicle processor to:

in response to the determining that the initial position is not within the one or more pre-defined zones, continue operating the vehicle using initial vehicle operating attributes.

10 . A system for operating a self-driving vehicle within an environment comprising one or more pre-defined zones, each pre-defined zone being associated with one or more vehicle safety profiles defining at least one or more travel parameters, the self-driving vehicle comprising a vehicle processor, the vehicle processor being operable to:

determine an initial position of the vehicle using a first vehicle localization method;

evaluate whether the initial position is within a predefined zone of the one or more pre-defined zones;

in response to determining the initial position is within the pre-defined zone:

determine an initial safety performance level of a sensing system operated to conduct the first vehicle localization method; and

evaluate whether the initial safety performance level associated with the sensing system complies with a required safety performance level of the pre-defined zone;

in response to determining that the initial safety performance level does not comply with the required safety performance level, initiate a second vehicle localization method to identify an enhanced position of the self-driving vehicle, the second vehicle localization method being operable to enhance an accuracy of the initial position identified by the first vehicle localization method and the second vehicle localization method being associated with a safety performance level that is one of equal to the initial safety performance level or a higher safety performance level;

and

operate the self-driving vehicle according to one or more vehicle operating attributes compliant with the environment in which the self-driving vehicle is located, wherein the self-driving vehicle is operated according to the one or more vehicle operating attributes of the associated vehicle safety profile when located within the pre-defined zone.

11 . The system of claim 10 , wherein the pre-defined zone is a pedestrian-exclusion zone, and the one or more vehicle operating attributes comprise one or more of an increased detection range and an increased vehicle travelling speed.

12 . The system of claim 10 , wherein the pre-defined zone is a high traffic pedestrian zone, and the one or more vehicle operating attributes comprise one or more of an increased detection range and a decreased vehicle travelling speed.

13 . The system of claim 10 , wherein the one or more pre-defined zones are defined in an electronic map accessible to the vehicle processor.

14 . The system of claim 10 , wherein the system further comprises a storage medium coupled to the vehicle processor, the storage medium storing the initial safety performance level of the sensing system operated to conduct the first vehicle localization method and the safety performance level associated with the second vehicle localization method.

15 . The system of claim 14 , wherein the vehicle processor being further operable to:

determine whether the initial position comprises location data corresponding to different location than a location corresponding to the enhanced position;

in response to the determination, determine that at least one of the initial safety performance level and the safety performance level associated with the second vehicle localization method satisfies the required performance level; and select a vehicle location to be one of the initial position and the second position according to which of the associated safety performance level satisfies the required safety performance level.

16 . The system of claim 10 , wherein the sensing system further comprises at least one first sensor and at least one second sensor, wherein the first localization method uses the at least one first sensor to determine the initial position, and the second localization method uses the at least one second sensor to determine the enhanced position.

17 . The system of claim 16 , wherein the vehicle processor comprises a first vehicle processor and a second vehicle processor, the first vehicle processor being coupled to the at least one first sensor and operable to process first sensor data generated by the at least one first sensor to determine the initial position, and the second vehicle processor being coupled to the at least one second sensor and operable to process second sensor data generated by the at least one second sensor to determine the enhanced position.

18 . The system of claim 10 , wherein the vehicle processor is further operable to:

in response to the determining that the initial position is not within the one or more pre-defined zone, continue operating the vehicle with an initial vehicle operating attributes.

Assignments (4)
CORRECTIVE ASSIGNMENT TO CORRECT THE CONVEYING PARTY'S NAME FROM CLEARPATH ROBOTICS, INC. TO CLEARPATH ROBOTICS INC. (WITHOUT THE COMMA) PREVIOUSLY RECORDED ON REEL 67944 FRAME 916. ASSIGNOR(S) HEREBY CONFIRMS THE ASSIGNMENT. Recorded Jul 25, 2024
From: CLEARPATH ROBOTICS INC.
To: ROCKWELL AUTOMATION, INC.
Reel/Frame 068233/0542 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 27, 2024
From: CLEARPATH ROBOTICS, INC.
To: ROCKWELL AUTOMATION, INC.
Reel/Frame 067944/0916 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 27, 2024
From: ROCKWELL AUTOMATION, INC.
To: ROCKWELL AUTOMATION TECHNOLOGIES, INC.
Reel/Frame 067944/0982 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 31, 2024
From: GARIEPY, RYAN CHRISTOPHER; RODRIGUES, YVAN GEOFFREY; LORD, MATTHEW; WANDERS, IVOR; MERCER, JASON; SERVOS, JAMES; CLAYTON, ROYDYN
To: CLEARPATH ROBOTICS INC.
Reel/Frame 067577/0426 →
Continuity (3)
Continuation 17470087 · Sep 9, 2021
Provisional Application 63076661 · Sep 10, 2020
Related Publication 20240308504A1 · Sep 19, 2024
References Cited (199)
US 5023790A · Luke, Jr. · 1991 [cited by applicant]
US 5525884A · Sugiura et al. · 1996 [cited by applicant]
US 5581250A · Khvilivitzky · 1996 [cited by applicant]
US 5700074A · Sugimoto et al. · 1997 [cited by applicant]
US 5785281A · Peter et al. · 1998 [cited by applicant]
US 5806938A · Stumpe et al. · 1998 [cited by applicant]
US 5983161A · Lemelson et al. · 1999 [cited by applicant]
US 6315513B1 · Harukawa et al. · 2001 [cited by applicant]
US 6405132B1 · Breed et al. · 2002 [cited by applicant]
US 6463360B1 · Terada et al. · 2002 [cited by applicant]
US 7693757B2 · Zimmerman · 2010 [cited by applicant]
US 8190295B1 · Garretson et al. · 2012 [cited by applicant]
US 8634981B1 · Hyde et al. · 2014 [cited by applicant]
US 8694193B2 · Mkel et al. · 2014 [cited by applicant]
US 9102406B2 · Stark et al. · 2015 [cited by applicant]
US 9114440B1 · Colucci et al. · 2015 [cited by applicant]
US 9141109B1 · Kamata · 2015 [cited by applicant]
US 9187088B1 · Ferguson et al. · 2015 [cited by applicant]
US 9280153B1 · Palamarchuk et al. · 2016 [cited by applicant]
US 9351569B1 · Lucey et al. · 2016 [cited by applicant]
US 9358975B1 · Watts · 2016 [cited by applicant]
US 9383753B1 · Templeton et al. · 2016 [cited by applicant]
US 9442487B1 · Ferguson et al. · 2016 [cited by applicant]
US 9465388B1 · Fairfield et al. · 2016 [cited by applicant]
US 9486917B2 · Reid et al. · 2016 [cited by applicant]
US 9487356B1 · Aggarwal · 2016 [cited by applicant]
US 9632502B1 · Levinson et al. · 2017 [cited by applicant]
US 9671791B1 · Paczan · 2017 [cited by applicant]
US 9733646B1 · Nusser et al. · 2017 [cited by applicant]
US 9779314B1 · Wendel et al. · 2017 [cited by applicant]
US 9896030B2 · Sugimoto · 2018 [cited by applicant]
US 9928749B2 · Gil et al. · 2018 [cited by applicant]
US 10019008B2 · Kong et al. · 2018 [cited by applicant]
US RE47108E · Jacobus et al. · 2018 [cited by applicant]
US 10112771B2 · D'Andrea et al. · 2018 [cited by applicant]
US 10317119B2 · Zou · 2019 [cited by applicant]
US 10328769B2 · Ferguson et al. · 2019 [cited by applicant]
US 10328942B2 · Kelly et al. · 2019 [cited by applicant]
US 10446034B2 · Akamine et al. · 2019 [cited by applicant]
US 10577199B2 · Lee et al. · 2020 [cited by applicant]
US 10909629B1 · Madigan et al. · 2021 [cited by applicant]
US 11167964B2 · Gariepy et al. · 2021 [cited by applicant]
US 11225275B2 · Gariepy et al. · 2022 [cited by applicant]
US 11305593B2 · Coombs · 2022 [cited by applicant]
US 20020013651A1 · Weiberle et al. · 2002 [cited by applicant]
US 20020137489A1 · Dutta et al. · 2002 [cited by applicant]
US 20020154974A1 · Fukuda et al. · 2002 [cited by applicant]
US 20030096594A1 · Naboulsi · 2003 [cited by applicant]
US 20040158355A1 · Holmqvist et al. · 2004 [cited by applicant]
US 20040204803A1 · Matsuda et al. · 2004 [cited by applicant]
US 20050023052A1 · Beck et al. · 2005 [cited by applicant]
US 20050216126A1 · Koselka et al. · 2005 [cited by applicant]
US 20070106306A1 · Bodduluri et al. · 2007 [cited by applicant]
US 20070106473A1 · Bodin et al. · 2007 [cited by applicant]
US 20070294029A1 · D'Andrea et al. · 2007 [cited by applicant]
US 20080018472A1 · Dasilva et al. · 2008 [cited by applicant]
US 20080106886A1 · Sugimoto et al. · 2008 [cited by applicant]
US 20080183599A1 · Hill et al. · 2008 [cited by applicant]
US 20090012667A1 · Matsumoto et al. · 2009 [cited by applicant]
US 20090043440A1 · Matsukawa et al. · 2009 [cited by applicant]
US 20090210109A1 · Ravenscroft · 2009 [cited by applicant]
US 20090222134A1 · Franke et al. · 2009 [cited by applicant]
US 20100021272A1 · Ward et al. · 2010 [cited by applicant]
US 20100030417A1 · Fang et al. · 2010 [cited by applicant]
US 20100030466A1 · Rogers et al. · 2010 [cited by applicant]
US 20100049391A1 · Nakano · 2010 [cited by applicant]
US 20100063680A1 · Tolstedt et al. · 2010 [cited by applicant]
US 20100106356A1 · Trepagnier et al. · 2010 [cited by applicant]
US 20100206651A1 · Nagasaka · 2010 [cited by applicant]
US 20100316470A1 · Lert et al. · 2010 [cited by applicant]
US 20110015844A1 · Perkins et al. · 2011 [cited by applicant]
US 20110021310A1 · Kresse et al. · 2011 [cited by applicant]
US 20110210529A1 · Markstaller · 2011 [cited by applicant]
US 20120121161A1 · Eade et al. · 2012 [cited by applicant]
US 20120173018A1 · Allen et al. · 2012 [cited by applicant]
US 20120197464A1 · Lai et al. · 2012 [cited by applicant]
US 20120296471A1 · Inaba et al. · 2012 [cited by applicant]
US 20120310466A1 · Fairfield et al. · 2012 [cited by applicant]
US 20130054129A1 · Wong et al. · 2013 [cited by applicant]
US 20130054133A1 · Lewis et al. · 2013 [cited by applicant]
US 20130086215A1 · Trotta et al. · 2013 [cited by applicant]
US 20130142393A1 · Burger et al. · 2013 [cited by applicant]
US 20130144480A1 · Kobayashi et al. · 2013 [cited by applicant]
US 20130197760A1 · Castaneda et al. · 2013 [cited by applicant]
US 20130226340A1 · Buchstab · 2013 [cited by applicant]
US 20130231779A1 · Purkayastha et al. · 2013 [cited by applicant]
US 20130253770A1 · Nishikawa et al. · 2013 [cited by applicant]
US 20130311075A1 · Tran et al. · 2013 [cited by applicant]
US 20140040431A1 · Rao et al. · 2014 [cited by applicant]
US 20140188324A1 · Waltz et al. · 2014 [cited by applicant]
US 20140214255A1 · Dolgov et al. · 2014 [cited by applicant]
US 20140244004A1 · Scott et al. · 2014 [cited by applicant]
US 20140277888A1 · Dastoor et al. · 2014 [cited by applicant]
US 20140309833A1 · Ferguson et al. · 2014 [cited by applicant]
US 20140350725A1 · Lafary et al. · 2014 [cited by applicant]
US 20140365113A1 · Mcgavran et al. · 2014 [cited by applicant]
US 20140365258A1 · Vestal et al. · 2014 [cited by applicant]
US 20150032252A1 · Galluzzo et al. · 2015 [cited by applicant]
US 20150046034A1 · Kikuchi · 2015 [cited by applicant]
US 20150088310A1 · Pinter et al. · 2015 [cited by applicant]
US 20150161872A1 · Beaulieu et al. · 2015 [cited by applicant]
US 20150197009A1 · Melikian · 2015 [cited by applicant]
US 20150217455A1 · Kikkeri et al. · 2015 [cited by applicant]
US 20150239442A1 · Yamakado et al. · 2015 [cited by applicant]
US 20150248131A1 · Fairfield et al. · 2015 [cited by applicant]
US 20150251658A1 · Kato · 2015 [cited by applicant]
US 20150266487A1 · Kato · 2015 [cited by applicant]
US 20150269860A1 · Shaw et al. · 2015 [cited by applicant]
US 20150291210A1 · Kageyama · 2015 [cited by applicant]
US 20150309485A1 · Nishi · 2015 [cited by applicant]
US 20150343638A1 · Mattern et al. · 2015 [cited by applicant]
US 20150352721A1 · Wicks et al. · 2015 [cited by applicant]
US 20160001775A1 · Wilhelm et al. · 2016 [cited by applicant]
US 20160059851A1 · Klier et al. · 2016 [cited by applicant]
US 20160068267A1 · Liu et al. · 2016 [cited by applicant]
US 20160086494A1 · Anandayuvaraj et al. · 2016 [cited by applicant]
US 20160093210A1 · Bonhomme · 2016 [cited by applicant]
US 20160101940A1 · Grinnell et al. · 2016 [cited by applicant]
US 20160129592A1 · Saboo et al. · 2016 [cited by applicant]
US 20160193999A1 · Sasabuchi · 2016 [cited by applicant]
US 20160246301A1 · Kazama et al. · 2016 [cited by applicant]
US 20160250930A1 · Collins et al. · 2016 [cited by applicant]
US 20160271800A1 · Stubbs · 2016 [cited by examiner]
US 20160304198A1 · Jourdan · 2016 [cited by applicant]
US 20160318445A1 · Sugimoto · 2016 [cited by applicant]
US 20160327951A1 · Walton et al. · 2016 [cited by applicant]
US 20170036771A1 · Woodman et al. · 2017 [cited by applicant]
US 20170039765A1 · Zhou et al. · 2017 [cited by applicant]
US 20170076616A1 · Kanade et al. · 2017 [cited by applicant]
US 20170100837A1 · Zevenbergen et al. · 2017 [cited by applicant]
US 20170102241A1 · Paduano et al. · 2017 [cited by applicant]
US 20170113352A1 · Lutz et al. · 2017 [cited by applicant]
US 20170158178A1 · Kerber et al. · 2017 [cited by applicant]
US 20170168488A1 · Wierzynski et al. · 2017 [cited by applicant]
US 20170188510A1 · Einecke et al. · 2017 [cited by applicant]
US 20170253241A1 · Filev et al. · 2017 [cited by applicant]
US 20170308096A1 · Nusser et al. · 2017 [cited by applicant]
US 20170341236A1 · Forman et al. · 2017 [cited by applicant]
US 20170351261A1 · Levinson et al. · 2017 [cited by applicant]
US 20170355360A1 · Reed et al. · 2017 [cited by applicant]
US 20180001474A1 · Sinyavskiy et al. · 2018 [cited by applicant]
US 20180009000A1 · Shang et al. · 2018 [cited by applicant]
US 20180012490A1 · Jodorkovsky et al. · 2018 [cited by applicant]
US 20180060765A1 · Hance et al. · 2018 [cited by applicant]
US 20180072431A1 · Sahu et al. · 2018 [cited by applicant]
US 20180086575A1 · Mccarthy et al. · 2018 [cited by applicant]
US 20180162349A1 · Chang et al. · 2018 [cited by applicant]
US 20180190046A1 · Levinson et al. · 2018 [cited by applicant]
US 20180211536A1 · Akamine et al. · 2018 [cited by applicant]
US 20180264648A1 · Kim et al. · 2018 [cited by applicant]
US 20180264950A1 · Yokoyama et al. · 2018 [cited by applicant]
US 20180297585A1 · Lian et al. · 2018 [cited by applicant]
US 20180305125A1 · Guo et al. · 2018 [cited by applicant]
US 20180339701A1 · Kwon · 2018 [cited by applicant]
US 20180362270A1 · Clucas et al. · 2018 [cited by applicant]
US 20190079537A1 · Yoshida et al. · 2019 [cited by applicant]
US 20190092347A1 · Kim · 2019 [cited by applicant]
US 20190120951A1 · Fischer · 2019 [cited by applicant]
US 20190129425A1 · Drexler et al. · 2019 [cited by applicant]
US 20190202465A1 · Kato et al. · 2019 [cited by applicant]
US 20190294167A1 · Kutila et al. · 2019 [cited by applicant]
US 20190344796A1 · Lian et al. · 2019 [cited by applicant]
US 20190377349A1 · Van Der Merwe · 2019 [cited by examiner]
US 20200047343A1 · Bal et al. · 2020 [cited by applicant]
US 20200206928A1 · Denenberg et al. · 2020 [cited by applicant]
US 20200225661A1 · Guo · 2020 [cited by examiner]
US 20200233413A1 · Einecke · 2020 [cited by examiner]
US 20200239242A1 · Hoofard et al. · 2020 [cited by applicant]
US 20200247369A1 · Ahnfalk · 2020 [cited by examiner]
US 20200249032A1 · Lee · 2020 [cited by applicant]
US 20200284601A1 · Myers et al. · 2020 [cited by applicant]
US 20200353923A1 · Perrin · 2020 [cited by examiner]
US 20210142667A1 · Choi et al. · 2021 [cited by applicant]
US 20210232153A1 · Inoue · 2021 [cited by applicant]
US 20210276577A1 · Adams · 2021 [cited by examiner]
US 20220005291A1 · Konrardy et al. · 2022 [cited by applicant]
US 20220024047A1 · Bouchard et al. · 2022 [cited by applicant]
US 20220074762A1 · Artes et al. · 2022 [cited by applicant]
US 20220221278A1 · Ries · 2022 [cited by examiner]
US 20220258614A1 · Matsuki et al. · 2022 [cited by applicant]
US 20220308204A1 · Zaidi · 2022 [cited by applicant]
US 20220341906A1 · Lam et al. · 2022 [cited by applicant]
US 20220355495A1 · Rembisz et al. · 2022 [cited by applicant]
US 20220365533A1 · Drexler et al. · 2022 [cited by applicant]
CN 109187063A · 2019 [cited by applicant]
CN 108839025B · 2020 [cited by applicant]
DE 112018006030T5 · 2020 [cited by applicant]
EP 2385435A1 · 2011 [cited by applicant]
JP 2009031884A · 2009 [cited by applicant]
JP 2009123045A · 2009 [cited by applicant]
WO 2011146259A2 · 2011 [cited by applicant]
WO 2015008380A1 · 2015 [cited by applicant]
Bengel et al., “Mobile Robots for Offshore Inspection and Manipulation”, Oct. 2009, the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems. (Year: 2009). [cited by applicant]
Hasan et al., “An Autonomous Robot for Intelligent Security Systems”, Aug. 2018, 9th IEEE Control and System Graduate Research Colloquium (ICSGRC 2018). (Year: 2018). [cited by applicant]
http://www.digitalglobe.com/downloaded on May 6, 2014 (3 pages). [cited by applicant]
Shneier et al., “Literature Review of Mobile Robots for Manufacturing”, May 2015, NIST. (Year: 2015). [cited by applicant]
Takahashi et al., “Developing a mobile robot for transport applications in the hospital domain”, Mar. 2010, Robotics and Autonomous Systems 58 (2010). Year: 2010). [cited by applicant]
Wikipedia Vehicular Automation, https://web.archive.org/web/20140402022211/https://en.wikipedia.org/wiki/. [cited by applicant]
Xiao et al., Pallet recognition and localization using an RGB-D camera, Sep. 13, 2017, International Journal of Advanced Robotic Systems, (Year: 2017). [cited by applicant]