MACHINE LEARNING MODELS FOR PROCESSING DATA FROM DIFFERENT VEHICLE PLATFORMS

Systems and techniques are provided for mapping data from a vehicle platform to a different vehicle platform. An example method can include obtaining sensor data collected by an autonomous vehicle (AV) in a scene, the AV comprising a target vehicle platform, the sensor data describing, measuring, or...

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creator Donderici, Burkay
description Systems and techniques are provided for mapping data from a vehicle platform to a different vehicle platform. An example method can include obtaining sensor data collected by an autonomous vehicle (AV) in a scene, the AV comprising a target vehicle platform, the sensor data describing, measuring, or depicting one or more elements in the scene; determining one or more differences between the sensor data associated with the target vehicle platform and additional sensor data associated with a reference vehicle platform, the reference vehicle platform being associated with one or more software models that are trained to process data from the reference vehicle platform; based on the one or more differences, mapping the sensor data associated with the target vehicle platform to the reference vehicle platform; and processing the mapped sensor data via the one or more software models.
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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
COUNTING
GENERATING RANDOM NUMBERS
PERFORMING OPERATIONS
PHYSICS
REGISTERING OR INDICATING THE WORKING OF MACHINES
ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TOTHE CONTROL OF A PARTICULAR SUB-UNIT
TIME OR ATTENDANCE REGISTERS
TRANSPORTING
VEHICLES IN GENERAL
VOTING OR LOTTERY APPARATUS
title MACHINE LEARNING MODELS FOR PROCESSING DATA FROM DIFFERENT VEHICLE PLATFORMS
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