PROCESSING SYSTEM FOR EVALUATING AUTONOMOUS VEHICLE CONTROL SYSTEMS THROUGH CONTINUOUS LEARNING
Aspects of the disclosure relate to an autonomous vehicle evaluation system that performs continuous evaluation of the actions, strategies, preferences, margins, and responses of an autonomous driving control system. A computing platform may receive sensor data from one or more autonomous vehicle se...
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creator | MADIGAN, Regina ARAGON, Juan Carlos |
description | Aspects of the disclosure relate to an autonomous vehicle evaluation system that performs continuous evaluation of the actions, strategies, preferences, margins, and responses of an autonomous driving control system. A computing platform may receive sensor data from one or more autonomous vehicle sensors, manufacturer computing platform, or V2X computing platform. Based on this sensor data, the computing platform may determine one or more driving patterns. Based on a primary context corresponding to the one or more driving patterns, the computing platform may group the one or more driving patterns. The computing platform may determine a driving pattern degradation output indicating degradation corresponding to the one or more grouped driving patterns, and the computing platform may send the driving pattern degradation output to an autonomous driving system, which may cause the autonomous driving system to take corrective action accordingly. |
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A computing platform may receive sensor data from one or more autonomous vehicle sensors, manufacturer computing platform, or V2X computing platform. Based on this sensor data, the computing platform may determine one or more driving patterns. Based on a primary context corresponding to the one or more driving patterns, the computing platform may group the one or more driving patterns. 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A computing platform may receive sensor data from one or more autonomous vehicle sensors, manufacturer computing platform, or V2X computing platform. Based on this sensor data, the computing platform may determine one or more driving patterns. Based on a primary context corresponding to the one or more driving patterns, the computing platform may group the one or more driving patterns. The computing platform may determine a driving pattern degradation output indicating degradation corresponding to the one or more grouped driving patterns, and the computing platform may send the driving pattern degradation output to an autonomous driving system, which may cause the autonomous driving system to take corrective action accordingly.</description><subject>ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDEDFOR ELSEWHERE</subject><subject>CALCULATING</subject><subject>CHECKING-DEVICES</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE ORDIFFERENT FUNCTION</subject><subject>CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES</subject><subject>CONTROLLING</subject><subject>COUNTING</subject><subject>GENERATING RANDOM NUMBERS</subject><subject>PERFORMING OPERATIONS</subject><subject>PHYSICS</subject><subject>REGISTERING OR INDICATING THE WORKING OF MACHINES</subject><subject>REGULATING</subject><subject>ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TOTHE CONTROL OF A PARTICULAR SUB-UNIT</subject><subject>SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES</subject><subject>TIME OR ATTENDANCE REGISTERS</subject><subject>TRANSPORTING</subject><subject>VEHICLES IN GENERAL</subject><subject>VOTING OR LOTTERY APPARATUS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNi0EKwjAQAHPxIOof9gOCEKVeQ9g2gTRbskmhp1AknkQL9f9opQ_wNDDMbEXuAmlktr4BHjhiCzUFwF65pOJiVYrkqaXE0KOx2iFo8jGQWweGaAKlxvy89WlJHargv_tebO7jYy6HlTsBNUZtjmV65TJP4608yztjJ6-nqpIXdZZ_JB99BjPq</recordid><startdate>20220427</startdate><enddate>20220427</enddate><creator>MADIGAN, Regina</creator><creator>ARAGON, Juan Carlos</creator><scope>EVB</scope></search><sort><creationdate>20220427</creationdate><title>PROCESSING SYSTEM FOR EVALUATING AUTONOMOUS VEHICLE CONTROL SYSTEMS THROUGH CONTINUOUS LEARNING</title><author>MADIGAN, Regina ; ARAGON, Juan Carlos</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_EP3807735A43</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; fre ; ger</language><creationdate>2022</creationdate><topic>ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDEDFOR ELSEWHERE</topic><topic>CALCULATING</topic><topic>CHECKING-DEVICES</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE ORDIFFERENT FUNCTION</topic><topic>CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES</topic><topic>CONTROLLING</topic><topic>COUNTING</topic><topic>GENERATING RANDOM NUMBERS</topic><topic>PERFORMING OPERATIONS</topic><topic>PHYSICS</topic><topic>REGISTERING OR INDICATING THE WORKING OF MACHINES</topic><topic>REGULATING</topic><topic>ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TOTHE CONTROL OF A PARTICULAR SUB-UNIT</topic><topic>SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES</topic><topic>TIME OR ATTENDANCE REGISTERS</topic><topic>TRANSPORTING</topic><topic>VEHICLES IN GENERAL</topic><topic>VOTING OR LOTTERY APPARATUS</topic><toplevel>online_resources</toplevel><creatorcontrib>MADIGAN, Regina</creatorcontrib><creatorcontrib>ARAGON, Juan Carlos</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>MADIGAN, Regina</au><au>ARAGON, Juan Carlos</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>PROCESSING SYSTEM FOR EVALUATING AUTONOMOUS VEHICLE CONTROL SYSTEMS THROUGH CONTINUOUS LEARNING</title><date>2022-04-27</date><risdate>2022</risdate><abstract>Aspects of the disclosure relate to an autonomous vehicle evaluation system that performs continuous evaluation of the actions, strategies, preferences, margins, and responses of an autonomous driving control system. A computing platform may receive sensor data from one or more autonomous vehicle sensors, manufacturer computing platform, or V2X computing platform. Based on this sensor data, the computing platform may determine one or more driving patterns. Based on a primary context corresponding to the one or more driving patterns, the computing platform may group the one or more driving patterns. The computing platform may determine a driving pattern degradation output indicating degradation corresponding to the one or more grouped driving patterns, and the computing platform may send the driving pattern degradation output to an autonomous driving system, which may cause the autonomous driving system to take corrective action accordingly.</abstract><oa>free_for_read</oa></addata></record> |
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language | eng ; fre ; ger |
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subjects | ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDEDFOR ELSEWHERE CALCULATING CHECKING-DEVICES COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE ORDIFFERENT FUNCTION CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES CONTROLLING COUNTING GENERATING RANDOM NUMBERS PERFORMING OPERATIONS PHYSICS REGISTERING OR INDICATING THE WORKING OF MACHINES REGULATING ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TOTHE CONTROL OF A PARTICULAR SUB-UNIT SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES TIME OR ATTENDANCE REGISTERS TRANSPORTING VEHICLES IN GENERAL VOTING OR LOTTERY APPARATUS |
title | PROCESSING SYSTEM FOR EVALUATING AUTONOMOUS VEHICLE CONTROL SYSTEMS THROUGH CONTINUOUS LEARNING |
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