IP Library Granted Patent US 12,518,215
Granted Patent B2
US 12,518,215 · App. 18/377,265 · Granted Jan 6, 2026

Controlling application use during vehicle operation

Inventors: Imad Zahid (Carrollton, TX); Sumit K. Jha (Frisco, TX); Anil Nagpal (Plano, TX); Joshua C. Batie (Frisco, TX); Nikhil Rajendra (Dallas, TX)
Assignees: TOYOTA MOTOR NORTH AMERICA, INC.; TOYOTA JIDOSHA KABUSHIKI KAISHA
G06N20/00B60R11/04B60R21/01532B60W40/08B60W50/0097B60W50/14B60W60/0015G01C21/28G01C21/3841G01C21/3874G01C21/3896G06V20/597G08G1/0112G08G1/0116G08G1/0125G08G1/09626G08G1/096716G08G1/096783H04L1/1809H04W64/003H04W76/15B60W2050/009B60W2050/143B60W2050/146B60W2540/043B60W2540/215B60W2540/221
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Quick Facts
Patent No.
US 12,518,215
App. No.
18/377,265
Granted
Jan 6, 2026
Kind
B2
Abstract

An example operation includes one or more of determining, by a vehicle, that an occupant assist application is operating in the vehicle to assist a vehicle occupant during vehicle operation, determining, by the vehicle, that an unsafe driving condition is likely to occur via a monitoring application, prior to a time that the unsafe driving condition is expected to occur, ceasing, by the vehicle, the occupant assist application, and executing, by the vehicle, a driving assist application to assist with the vehicle operation during the unsafe driving condition.

Claims (59)

1 . A method performed by a vehicle, the method comprising:

determining that an occupant assist application is operating in the vehicle to assist an occupant during operation of the vehicle;

by a monitoring application, determining that an unsafe driving condition is likely to occur;

before the unsafe driving condition is expected to occur, ceasing the occupant assist application;

during the unsafe driving condition, performing an autonomous driving operation using a driving assist application; and

by the monitoring application, determining that the unsafe driving condition is less likely to occur based on a new value assigned to the unsafe driving condition after the autonomous driving operation has been performed.

2 . The method of claim 1 , comprising:

responsive to the determining that the unsafe driving condition is likely to occur, identifying priorities assigned to the occupant assist application and the driving assist application,

wherein the performing of the autonomous driving operation using the driving assist application further comprises:

executing the driving assist application based on a priority assigned to the driving assist application being higher than a priority assigned to the occupant assist application.

3 . The method of claim 1 , comprising:

assigning a value to the unsafe driving condition based on a plurality of stored unsafe driving conditions and corresponding values;

determining that the value exceeds an unsafe driving condition threshold value; and

ceasing the occupant assist application based on the value exceeding the unsafe driving condition threshold value.

4 . The method of claim 1 , wherein the ceasing the occupant assist application further comprises:

ceasing the occupant assist application to permit only vehicle driving operations performed by the occupant assist application.

5 . The method of claim 1 , comprising

transmitting an alert from the monitoring application to the occupant, wherein the occupant assist application ceases in response to the alert being transmitted.

6 . The method of claim 1 , comprising

by the monitoring application, determining that the unsafe driving condition has expired; and

re-establishing portions of the monitoring application.

7 . A vehicle system-comprising:

a processor that executes instructions stored in a memory to configure the processor to:

determine that an occupant assist application is operating in the vehicle to assist an occupant during operation of the vehicle;

by a monitoring application, determine that an unsafe driving condition is likely to occur;

before the unsafe driving condition is expected to occur, cease the occupant assist application; and

during the unsafe driving condition, cause the vehicle to perform an autonomous driving operation using a driving assist application; and

by the monitoring application, determining that the unsafe driving condition is less likely to occur based on a new value assigned to the unsafe driving condition after the autonomous driving operation has been performed.

8 . The vehicle of claim 7 , wherein the processor is further configured to:

responsive to it being determined that the unsafe driving condition is likely to occur, identifying priorities assigned to the occupant assist application and the driving assist application,

wherein when the processor causes the vehicle to perform the autonomous driving operation, the processor is further configured to:

execute the driving assist application based on a priority assigned to the driving assist application being higher than a priority assigned to the occupant assist application.

9 . The vehicle system of claim 7 , wherein the processor is further configured to:

assign a value to the unsafe driving condition based on a plurality of stored unsafe driving conditions and corresponding values;

determine that the value exceeds an unsafe driving condition threshold value; and

cease the occupant assist application based on the value exceeding the unsafe driving condition threshold value.

10 . The vehicle of claim 7 , wherein when the processor ceases the occupant assist application, the processor is further configured to:

cease the occupant assist application to permit only vehicle driving operations performed by the occupant assist application.

11 . The vehicle of claim 7 , wherein the processor is configured to:

cause the driving assist application to send an alert to the vehicle occupant, wherein the occupant assist application ceases in response to the alert being transmitted.

12 . The vehicle of claim 7 , wherein the processor is configured to:

cause the monitoring application to determine that the unsafe driving condition has expired; and re-establish portions of the driving assist application for a period of time.

13 . A non-transitory computer-readable medium configured to store instructions that, when executed by a processor of a vehicle, cause the processor to perform:

by a monitoring application, determining that an unsafe driving condition is likely to occur;

before the unsafe driving condition is expected to occur, ceasing the occupant assist application;

during the unsafe driving condition, performing an autonomous driving operation using a driving assist application; and

by the monitoring application, determining that the unsafe driving condition is less likely to occur based on a new value assigned to the unsafe driving condition after the autonomous driving operation has been performed.

14 . The non-transitory computer-readable medium of claim 13 , wherein the instructions cause the processor to perform:

responsive to the determining that the unsafe driving condition is likely to occur, identifying priorities assigned to the occupant assist application and the driving assist application,

wherein the performing of the autonomous driving operation using the driving assist application further comprises:

executing the driving assist application based on a priority assigned to the driving assist application being higher than a priority assigned to the occupant assist application.

15 . The non-transitory computer-readable medium of claim 13 , wherein the instructions cause the processor to perform:

assigning a value to the unsafe driving condition based on a plurality of stored unsafe driving conditions and corresponding values;

determining that the value exceeds an unsafe driving condition threshold value; and

ceasing the occupant assist application based on the value exceeding the unsafe driving condition threshold value.

16 . The non-transitory computer-readable medium of claim 13 , wherein the ceasing the occupant assist application further comprises:

ceasing the occupant assist application to permit only vehicle driving operations performed by the occupant assist application.

17 . The non-transitory computer-readable medium of claim 13 , wherein the instructions cause the processor to perform:

transmitting an alert from the monitoring application to the occupant, wherein the occupant assist application ceases in response to the alert being transmitted.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 8, 2026
From: TOYOTA JIDOSHA KABUSHIKI KAISHA
To: TOYOTA MOTOR NORTH AMERICA, INC.
Reel/Frame 075748/0944 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 5, 2023
From: ZAHID, IMAD; JHA, SUMIT K.; NAGPAL, ANIL; BATIE, JOSHUA C.
To: TOYOTA MOTOR NORTH AMERICA, INC.; TOYOTA JIDOSHA KABUSHIKI KAISHA
Reel/Frame 065142/0057 →
Continuity (2)
Provisional Application 63514512 · Jul 19, 2023
Related Publication 20250026373A1 · Jan 23, 2025
References Cited (205)
US 5082333A · Fukushima · 1992 [cited by examiner]
US 7183932B2 · Bauer · 2007 [cited by applicant]
US 7254482B2 · Kawasaki et al. · 2007 [cited by applicant]
US 7292152B2 · Torkkola et al. · 2007 [cited by applicant]
US 7450603B2 · Nix et al. · 2008 [cited by applicant]
US 7707576B2 · Sun · 2010 [cited by examiner]
US 8301108B2 · Naboulsi · 2012 [cited by applicant]
US 8326258B2 · Chmielewski · 2012 [cited by examiner]
US 8495239B2 · Cohen et al. · 2013 [cited by applicant]
US 8725311B1 · Breed · 2014 [cited by applicant]
US 8972090B2 · Weslati et al. · 2015 [cited by applicant]
US 9075702B2 · Park et al. · 2015 [cited by applicant]
US 9211891B2 · Scofield et al. · 2015 [cited by applicant]
US 9240079B2 · Lambert et al. · 2016 [cited by applicant]
US 9460601B2 · Mimar · 2016 [cited by applicant]
US 9531737B2 · Stählin · 2016 [cited by applicant]
US 9792740B2 · Lambert et al. · 2017 [cited by applicant]
US 9821657B2 · Gan · 2017 [cited by applicant]
US 9849802B2 · Chow et al. · 2017 [cited by applicant]
US 9905057B2 · Stacy · 2018 [cited by applicant]
US 9915950B2 · Hartung et al. · 2018 [cited by applicant]
US 10036646B2 · Schumann et al. · 2018 [cited by applicant]
US 10081317B2 · Naboulsi · 2018 [cited by applicant]
US 10091299B2 · Mian et al. · 2018 [cited by applicant]
US 10104525B1 · Kaiser et al. · 2018 [cited by applicant]
US 10163340B2 · Vandikas et al. · 2018 [cited by applicant]
US 10196071B1 · Rowson et al. · 2019 [cited by applicant]
US 10225348B2 · Wang et al. · 2019 [cited by applicant]
US 10235859B1 · Hiles · 2019 [cited by applicant]
US 10429195B2 · Hashisho · 2019 [cited by applicant]
US 10474794B2 · Patton et al. · 2019 [cited by applicant]
US 10490075B2 · Bai et al. · 2019 [cited by applicant]
US 10532658B2 · Kim et al. · 2020 [cited by applicant]
US 10672200B2 · Wang et al. · 2020 [cited by applicant]
US 10696299B2 · Weldemariam et al. · 2020 [cited by applicant]
US 10741178B2 · Jo et al. · 2020 [cited by applicant]
US 10816978B1 · Schwalb · 2020 [cited by applicant]
US 10829110B2 · Nienhueser et al. · 2020 [cited by applicant]
US 10850616B2 · Koebler et al. · 2020 [cited by applicant]
US 10912509B2 · Alsbou · 2021 [cited by applicant]
US 10976170B2 · Morgan-Brown · 2021 [cited by applicant]
US 11037443B1 · Cui et al. · 2021 [cited by applicant]
US 11044588B2 · Fox et al. · 2021 [cited by applicant]
US 11047704B2 · Yamamoto · 2021 [cited by applicant]
US 11084494B2 · Hu et al. · 2021 [cited by applicant]
US 11124153B2 · Narumi · 2021 [cited by applicant]
US 11163270B2 · Migneco et al. · 2021 [cited by applicant]
US 11206453B2 · Ramos et al. · 2021 [cited by applicant]
US 11221621B2 · Wengreen et al. · 2022 [cited by applicant]
US 11221622B2 · Schwie et al. · 2022 [cited by applicant]
US 11287270B2 · Xiang et al. · 2022 [cited by applicant]
US 11310626B2 · Mian et al. · 2022 [cited by applicant]
US 11323168B2 · Legg et al. · 2022 [cited by applicant]
US 11388241B1 · Myers, Jr. et al. · 2022 [cited by applicant]
US 11400944B2 · Soltanian et al. · 2022 [cited by applicant]
US 11513523B1 · Schwalb · 2022 [cited by applicant]
US 11526721B1 · O'Malley · 2022 [cited by applicant]
US 11539818B2 · Sabella et al. · 2022 [cited by applicant]
US 11620473B1 · Zhang · 2023 [cited by applicant]
US 11625745B1 · Warden et al. · 2023 [cited by applicant]
US 11667299B2 · Memani et al. · 2023 [cited by applicant]
US 11673570B2 · Chambers et al. · 2023 [cited by applicant]
US 11685409B2 · Kim et al. · 2023 [cited by applicant]
US 11694543B2 · Biala et al. · 2023 [cited by applicant]
US 11697420B2 · Bade et al. · 2023 [cited by applicant]
US 11780458B1 · Hussain et al. · 2023 [cited by applicant]
US 11794676B1 · Benqassmi et al. · 2023 [cited by applicant]
US 11866036B2 · Klingemann et al. · 2024 [cited by applicant]
US 20060069473A1 · Sumcad et al. · 2006 [cited by applicant]
US 20060261933A1 · Deniau et al. · 2006 [cited by applicant]
US 20070054685A1 · Kellum · 2007 [cited by applicant]
US 20080133120A1 · Romanick · 2008 [cited by applicant]
US 20080243558A1 · Gupte · 2008 [cited by applicant]
US 20080293405A1 · Meyer · 2008 [cited by applicant]
US 20090319341A1 · Berkobin et al. · 2009 [cited by applicant]
US 20100023201A1 · Kinney et al. · 2010 [cited by applicant]
US 20100070128A1 · Johnson · 2010 [cited by applicant]
US 20110131666A1 · Tanaka · 2011 [cited by applicant]
US 20120101713A1 · Moshchuk et al. · 2012 [cited by applicant]
US 20130167037A1 · Xaio · 2013 [cited by applicant]
US 20130342364A1 · Grimm · 2013 [cited by examiner]
US 20140277896A1 · Lathrop · 2014 [cited by examiner]
US 20140303806A1 · Bai et al. · 2014 [cited by applicant]
US 20140309886A1 · Ricci · 2014 [cited by examiner]
US 20150120135A1 · Lawrenson · 2015 [cited by applicant]
US 20150245280A1 · Zhou et al. · 2015 [cited by applicant]
US 20150294547A1 · Ito et al. · 2015 [cited by applicant]
US 20160001781A1 · Fung et al. · 2016 [cited by applicant]
US 20170129496A1 · Li et al. · 2017 [cited by applicant]
US 20170132923A1 · Li et al. · 2017 [cited by applicant]
US 20170262453A1 · Raichelgauz et al. · 2017 [cited by applicant]
US 20170334374A1 · Naboulsi · 2017 [cited by applicant]
US 20170355377A1 · Vijaya Kumar · 2017 [cited by examiner]
US 20180012424A1 · Ricci · 2018 [cited by applicant]
US 20180029612A1 · Tsuyunashi et al. · 2018 [cited by applicant]
US 20180128628A1 · Cheaz et al. · 2018 [cited by applicant]
US 20180146323A1 · Tseng et al. · 2018 [cited by applicant]
US 20180240335A1 · Dong et al. · 2018 [cited by applicant]
US 20180244288A1 · Glaser et al. · 2018 [cited by applicant]
US 20180332509A1 · Feng · 2018 [cited by applicant]
US 20180365998A1 · Shibata et al. · 2018 [cited by applicant]
US 20190028904A1 · Carpenter et al. · 2019 [cited by applicant]
US 20190050718A1 · Tickoo et al. · 2019 [cited by applicant]
US 20190116476A1 · Qiu et al. · 2019 [cited by applicant]
US 20190128681A1 · Hans et al. · 2019 [cited by applicant]
US 20190302766A1 · Mondello et al. · 2019 [cited by applicant]
US 20190377362A1 · Lee · 2019 [cited by applicant]
US 20190392707A1 · McEnroe et al. · 2019 [cited by applicant]
US 20200031371A1 · Soliman · 2020 [cited by applicant]
US 20200073405A1 · Xu et al. · 2020 [cited by applicant]
US 20200117187A1 · Kothari · 2020 [cited by applicant]
US 20200130711A1 · Turek et al. · 2020 [cited by applicant]
US 20200166363A1 · Mcgavran et al. · 2020 [cited by applicant]
US 20200290630A1 · Elwart et al. · 2020 [cited by applicant]
US 20200346663A1 · Park et al. · 2020 [cited by applicant]
US 20200388154A1 · Kim et al. · 2020 [cited by applicant]
US 20210035125A1 · Casey et al. · 2021 [cited by applicant]
US 20210149397A1 · Shin et al. · 2021 [cited by applicant]
US 20210150828A1 · Mezaael et al. · 2021 [cited by applicant]
US 20210272462A1 · Yang et al. · 2021 [cited by applicant]
US 20210297472A1 · Calvert et al. · 2021 [cited by applicant]
US 20210309217A1 · Kim et al. · 2021 [cited by applicant]
US 20210309255A1 · Roesner · 2021 [cited by applicant]
US 20210312725A1 · Milton · 2021 [cited by applicant]
US 20210319691A1 · Merwaday et al. · 2021 [cited by applicant]
US 20210407292A1 · Cui et al. · 2021 [cited by applicant]
US 20220074756A1 · Gewickey et al. · 2022 [cited by applicant]
US 20220129948A1 · Cho et al. · 2022 [cited by applicant]
US 20220163969A1 · Li · 2022 [cited by applicant]
US 20220194433A1 · Nagata et al. · 2022 [cited by applicant]
US 20220228874A1 · Nader et al. · 2022 [cited by applicant]
US 20220234615A1 · Nishino et al. · 2022 [cited by applicant]
US 20220242448A1 · Chen et al. · 2022 [cited by applicant]
US 20220266842A1 · Li et al. · 2022 [cited by applicant]
US 20220289250A1 · Oba · 2022 [cited by examiner]
US 20220297726A1 · Zhang et al. · 2022 [cited by applicant]
US 20220308579A1 · Flores et al. · 2022 [cited by applicant]
US 20220381564A1 · Kitchen et al. · 2022 [cited by applicant]
US 20220408340A1 · Paczkowski et al. · 2022 [cited by applicant]
US 20230020772A1 · Aluvila et al. · 2023 [cited by applicant]
US 20230031709A1 · Yu et al. · 2023 [cited by applicant]
US 20230055974A1 · Arnold et al. · 2023 [cited by applicant]
US 20230058508A1 · Bush et al. · 2023 [cited by applicant]
US 20230063370A1 · Li · 2023 [cited by applicant]
US 20230096556A1 · Lerner et al. · 2023 [cited by applicant]
US 20230140079A1 · Zhu et al. · 2023 [cited by applicant]
US 20230147000A1 · Heiden et al. · 2023 [cited by applicant]
US 20230156055A1 · Apanovitch et al. · 2023 [cited by applicant]
US 20230343223A1 · Obraczka et al. · 2023 [cited by applicant]
US 20230373334A1 · Lu et al. · 2023 [cited by applicant]
US 20230375351A1 · Palanisamy et al. · 2023 [cited by applicant]
US 20240029484A1 · Benjamin et al. · 2024 [cited by applicant]
US 20240198938A1 · Carlos et al. · 2024 [cited by applicant]
US 20240211797A1 · Pronovost · 2024 [cited by applicant]
US 20240314578A1 · Henry et al. · 2024 [cited by applicant]
US 20240400077A1 · Kondasani et al. · 2024 [cited by applicant]
US 20240422764A1 · Sun et al. · 2024 [cited by applicant]
CA 3026666A1 · 2018 [cited by examiner]
CN 104778056A · 2015 [cited by applicant]
CN 105976609A · 2016 [cited by applicant]
CN 105989712A · 2016 [cited by applicant]
CN 106548679A · 2017 [cited by applicant]
CN 108650656A · 2018 [cited by applicant]
CN 112801351A · 2021 [cited by applicant]
CN 112950939A · 2021 [cited by examiner]
CN 112970285A · 2021 [cited by applicant]
CN 113056930A · 2021 [cited by applicant]
CN 113891823A · 2022 [cited by applicant]
CN 114358240A · 2022 [cited by applicant]
CN 114802059B · 2022 [cited by examiner]
EP 2288521A1 · 2011 [cited by applicant]
EP 2992418A1 · 2016 [cited by applicant]
EP 3269203A1 · 2018 [cited by applicant]
EP 3272613A1 · 2018 [cited by applicant]
EP 3299766A1 · 2018 [cited by applicant]
EP 3374902A1 · 2018 [cited by applicant]
EP 3401786A2 · 2018 [cited by applicant]
EP 3543906A1 · 2019 [cited by applicant]
EP 3629105A1 · 2020 [cited by applicant]
EP 4011740A2 · 2022 [cited by applicant]
WO 2016020151A1 · 2016 [cited by applicant]
US 2023/0031452 A1, 02/2023, Myers, Jr. et al. (withdrawn) [cited by applicant]
Machine translation of CN 112950939 downloaded from IP.com Jun. 10, 2025 (Year: 2025). [cited by examiner]
Machine translation of CN 114802059 downloaded from IP.com Jun. 10, 2025 (Year: 2025). [cited by examiner]
International Search Report and Written Opinion issued in the International PCT Application No. PCT/US2024/038905, mailed on Oct. 18, 2024. [cited by applicant]
Kanwal et al., “Sustainable Vehicle-Assisted Edge Computing for Big Data Migration in Smart Cities,” in IEEE Internet of Things Journal, vol. 7, No. 3, pp. 1857-1871, Mar. 2020, (Year: 2020). [cited by applicant]
Bellan, GM aims to build Netflix-sized subscription business by 2030, Oct. 6, 2021, https://techcrunch.com/2021/10/06/gm-aims-to-build-netflix-sized-subscription-business-by-2030/. [cited by applicant]
Unknown, Artificial Intelligence (AI) in Automotive Market Size by Component (Software, Hardware, Service), by technology (computer vision, context Awareness, Deep Learning, Machine Learning, Natural Language Processing… [cited by applicant]
Unknown, Automotive Artificial Intelligence (AI) Market Size (By Offering: Software and Hardware; By Process: Signal Recognition, Image Recognition, Voice Recognition, and Data Mining; By Technology: Deep Learning, Mach… [cited by applicant]
Unknown, Comfort and Infotainment Subscriptions: A Scalable Growth Vector for OEMs, intellias, published Mar. 31, 2023, updated Aug. 21, 2023, https://intellias.com/comfort-infotainment-subscriptions/. [cited by applicant]
Unknown, Personal development market size to grow by USD 755.16 million between 2022 and 2027; Growth driven by the rise in cost-effective content development—Technavio, Technavio, Apr. 3, 2023, https://www.prnewswire.c… [cited by applicant]
Unknown, Personal Development Market Size, Share & Trends Analysis Report By Instrument (Books, e-Platforms), By Focus Area (Mental Health, Physical Health), By Region, and Segment Forecasts, 2023-2030, Report ID: GVR-4… [cited by applicant]
Unknown, Research Blog, top 10 Automotive Industry Trends & Innovations in 2024, last downloaded on , https://www.startus-insights.com/innovators-guide/automotive-industry-trends-10-innovations-that-will-impact-automoti… [cited by applicant]
Unknown, The subscription Economy Index, Zuora, Mar. 2023. [cited by applicant]
Bhardwaj, Audi GLOSA (Green Light Optimised Speed Advisory), Jul. 8, 2022, https://gomechanic.in/blog/audi-glosa-green-light-optimised-speed-advisory/. [cited by applicant]
Palkar, How Uber Uses Machine Learning To Reinvent Transportation?, Nov. 10, 2020, https://palkardurvesh.medium.com/how-uber-uses-machine-learning-to-reinvent-transportation-9412e4a3e4e9. [cited by applicant]
Rechtin, Goodbye MBUX, hello MB.OS. New Mercedes infotainment coming soon ‘Hey Mercedes’ gets smarter, navigation gets more realistic, audio goes full 3D, Mar. 21, 2022, https://www.autoblog.com/2022/03/21/mercedes-mb-o… [cited by applicant]
Smith, Hallucinations Could Blunt ChatGPT's Success OpenAI says the problem's solvable, Yann LeCun says we'll see, Mar. 13, 2023, https://spectrum.ieee.org/ai-hallucination. [cited by applicant]
Smith, The Future of Intelligent Transportation Systems (ITS): Applying Lessons Learned From 30 Years of Innovation, Spring 2022, Issue No. vol. 86 No. 1Publication No. FHWA-HRT-22-003, https://highways.dot.gov/public-r… [cited by applicant]
Somanym3s, You can now Watch videos in the browsers [Update: only while in Park], Oct. 26, 2019, https://teslamotorsclub.com/tmc/threads/you-can-now-watch-videos-in-the-browsers-update-only-while-in-park.171461/. [cited by applicant]
Stocksdale, Audi testing bus, school zone vehicle-to-infrastructure system, May 23, 2021, https://www.autoblog.com/2021/05/23/audi-v2x-vehicle-infrastructure-school-bus-zone-warning-system/. [cited by applicant]
Tan, GPT-4 Inherits “Hallucinating” Facts and Reasoning Errors From Earlier GPT Models, Mar. 16, 2023, https://mpost.io/gpt-4-inherits-hallucinating-facts-and-reasoning-errors-from-earlier-gpt-models/. [cited by applicant]
Unknown, Cadillac unveils electric Escalade IQ; 200kWh, 450 miles, pricing starting around 130K, Aug. 10, 2023, https://www.greencarcongress.com/2023/08/20230910-escaladeiq.html. [cited by applicant]
Unknown, MHI Group to Participate in Vehicle-to-Infrastructure (V21) Demonstration Test Program to Support Autonomous Highway Driving—Groupwide Technologies to Help Achieve Autonomous Driving Society—, Oct. 5, 2022, htt… [cited by applicant]
Weise et al., When A.I. Chatbots Hallucinate, The New York Times, May 1, 2023. [cited by applicant]