MACHINE-LEARNING SYSTEMS AND TECHNIQUES TO OPTIMIZE TELEOPERATION AND/OR PLANNER DECISIONS

A system, an apparatus or a process may be configured to implement an application that applies artificial intelligence and/or machine-learning techniques to predict an optimal course of action (or a subset of courses of action) for an autonomous vehicle system (e.g., one or more of a planner of an a...

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Hauptverfasser: SIBLEY, Gabriel Thurston, REGE, Ashutosh Gajanan, LEVINSON, Jesse Sol
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Sprache:eng ; fre ; ger
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creator SIBLEY, Gabriel Thurston
REGE, Ashutosh Gajanan
LEVINSON, Jesse Sol
description A system, an apparatus or a process may be configured to implement an application that applies artificial intelligence and/or machine-learning techniques to predict an optimal course of action (or a subset of courses of action) for an autonomous vehicle system (e.g., one or more of a planner of an autonomous vehicle, a simulator, or a teleoperator) to undertake based on suboptimal autonomous vehicle performance and/or changes in detected sensor data (e.g., new buildings, landmarks, potholes, etc.). The application may determine a subset of trajectories based on a number of decisions and interactions when resolving an anomaly due to an event or condition. The application may use aggregated sensor data from multiple autonomous vehicles to assist in identifying events or conditions that might affect travel (e.g., using semantic scene classification). An optimal subset of trajectories may be formed based on recommendations responsive to semantic changes (e.g., road construction).
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subjects ANALOGOUS ARRANGEMENTS USING OTHER WAVES
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 OR REGULATING SYSTEMS IN GENERAL
CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES
CONTROLLING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES
FUNCTIONAL ELEMENTS OF SUCH SYSTEMS
GENERATING RANDOM NUMBERS
GYROSCOPIC INSTRUMENTS
LAND VEHICLES FOR TRAVELLING OTHERWISE THAN ON RAILS
LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION ORRERADIATION OF RADIO WAVES
MEASURING
MEASURING DISTANCES, LEVELS OR BEARINGS
MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS ORELEMENTS
MOTOR VEHICLES
NAVIGATION
PERFORMING OPERATIONS
PHOTOGRAMMETRY OR VIDEOGRAMMETRY
PHYSICS
RADIO DIRECTION-FINDING
RADIO NAVIGATION
REGISTERING OR INDICATING THE WORKING OF MACHINES
REGULATING
ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TOTHE CONTROL OF A PARTICULAR SUB-UNIT
SIGNALLING
SURVEYING
SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
TESTING
TIME OR ATTENDANCE REGISTERS
TRAFFIC CONTROL SYSTEMS
TRAILERS
TRANSPORTING
VEHICLES IN GENERAL
VOTING OR LOTTERY APPARATUS
title MACHINE-LEARNING SYSTEMS AND TECHNIQUES TO OPTIMIZE TELEOPERATION AND/OR PLANNER DECISIONS
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