Moving object behavior prediction device
A moving object behavior prediction device improves prediction accuracy and includes: an input map generation unit that generates a single input map in which a region capable of containing a plurality of the moving objects is divided into a plurality of cells, in which each of the cells stores relat...
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creator | Ishikawa, Masayoshi Toyoda, Hidehiro Suzuki, Hideaki |
description | A moving object behavior prediction device improves prediction accuracy and includes: an input map generation unit that generates a single input map in which a region capable of containing a plurality of the moving objects is divided into a plurality of cells, in which each of the cells stores related information of a static object and related information of the moving object; a movement amount estimation unit that estimates a movement amount as a feature amount of each cell from the input map, using a trained convolutional neural network; a movement amount acquisition unit that acquires a movement amount at a current position of the moving object from a movement amount stored in a peripheral cell the moving object; and a future position prediction unit that predicts a future position of the moving object based on a feature amount at a current position of the moving object. |
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a movement amount estimation unit that estimates a movement amount as a feature amount of each cell from the input map, using a trained convolutional neural network; a movement amount acquisition unit that acquires a movement amount at a current position of the moving object from a movement amount stored in a peripheral cell the moving object; and a future position prediction unit that predicts a future position of the moving object based on a feature amount at a current position of the moving object.</description><language>eng</language><subject>CALCULATING ; 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 ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; PERFORMING OPERATIONS ; PHYSICS ; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TOTHE CONTROL OF A PARTICULAR SUB-UNIT ; SIGNALLING ; TRAFFIC CONTROL SYSTEMS ; 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a movement amount estimation unit that estimates a movement amount as a feature amount of each cell from the input map, using a trained convolutional neural network; a movement amount acquisition unit that acquires a movement amount at a current position of the moving object from a movement amount stored in a peripheral cell the moving object; and a future position prediction unit that predicts a future position of the moving object based on a feature amount at a current position of the moving object.</abstract><oa>free_for_read</oa></addata></record> |
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subjects | CALCULATING 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 IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PERFORMING OPERATIONS PHYSICS ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TOTHE CONTROL OF A PARTICULAR SUB-UNIT SIGNALLING TRAFFIC CONTROL SYSTEMS TRANSPORTING VEHICLES IN GENERAL |
title | Moving object behavior prediction device |
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