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1. (WO2018139993) FEEDBACK FOR AN AUTONOMOUS VEHICLE
Latest bibliographic data on file with the International Bureau    Submit observation

Pub. No.: WO/2018/139993 International Application No.: PCT/US2017/014769
Publication Date: 02.08.2018 International Filing Date: 24.01.2017
IPC:
B60W 30/02 (2012.01) ,B60W 30/08 (2012.01) ,B60W 30/12 (2006.01) ,B60W 50/02 (2012.01) ,B60W 50/08 (2012.01)
B PERFORMING OPERATIONS; TRANSPORTING
60
VEHICLES IN GENERAL
W
CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
30
Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units
02
Control of vehicle driving stability
B PERFORMING OPERATIONS; TRANSPORTING
60
VEHICLES IN GENERAL
W
CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
30
Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units
08
Predicting or avoiding probable or impending collision
B PERFORMING OPERATIONS; TRANSPORTING
60
VEHICLES IN GENERAL
W
CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
30
Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units
10
Path keeping
12
Lane keeping
B PERFORMING OPERATIONS; TRANSPORTING
60
VEHICLES IN GENERAL
W
CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
50
Details of control systems for road vehicle drive control not related to the control of a particular sub-unit
02
Ensuring safety in case of control system failures, e.g. by diagnosing, circumventing or fixing failures
B PERFORMING OPERATIONS; TRANSPORTING
60
VEHICLES IN GENERAL
W
CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
50
Details of control systems for road vehicle drive control not related to the control of a particular sub-unit
08
Interaction between the driver and the control system
Applicants:
FORD GLOBAL TECHNOLOGIES, LLC [US/US]; 330 Town Center Drive, Suite 800 Dearborn, MI 48126, US
Inventors:
HOTSON, Guy; US
MOOSAEI, Maryam; US
NARIYAMBUT MURALI, Vidya; US
JAIN, Jinesh, J.; US
Agent:
STEVENS, David, R.; US
Priority Data:
Title (EN) FEEDBACK FOR AN AUTONOMOUS VEHICLE
(FR) RÉTROACTION POUR UN VÉHICULE AUTONOME
Abstract:
(EN) A controller receives sensor data during a ride and provides it to a server system. A passenger further provides feedback concerning the ride in the form of some or all of an overall rating, flagging of ride anomalies, and flagging of road anomalies. The sensor data and feedback are input to a training algorithm, such as a deep reinforcement learning algorithm, which updates an artificial intelligence (AI) model. The updated model is then propagated to controllers of one or more autonomous vehicle which then perform autonomous navigation and collision avoidance using the updated AI model.
(FR) Selon la présente invention, un dispositif de commande reçoit des données de capteur pendant un parcours et les fournit à un système de serveur. Un passager fournit en outre une rétroaction sur le parcours sous la forme d'une évaluation globale, de la signalisation d'anomalies de parcours et/ou de la signalisation d'anomalies de la route. Les données de capteur et la rétroaction sont entrées dans un algorithme d'apprentissage, tel qu'un algorithme d'apprentissage par renforcement en profondeur, qui met à jour un modèle d'intelligence artificielle (IA). Le modèle mis à jour est ensuite propagé à des dispositifs de commande d'un ou plusieurs véhicules autonomes qui effectuent ensuite une navigation autonome et un évitement de collision à l'aide du modèle d'IA mis à jour.
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Designated States: AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IR, IS, JP, KE, KG, KH, KN, KP, KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW
African Regional Intellectual Property Organization (ARIPO) (BW, GH, GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, UG, ZM, ZW)
Eurasian Patent Office (AM, AZ, BY, KG, KZ, RU, TJ, TM)
European Patent Office (EPO) (AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LT, LU, LV, MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR)
African Intellectual Property Organization (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, KM, ML, MR, NE, SN, TD, TG)
Publication Language: English (EN)
Filing Language: English (EN)