4D millimeter wave radar point cloud target detection method based on Vision Transform network

The invention discloses a Darknet53 network-based 4D millimeter wave radar point cloud target detection method, which belongs to the field of computer deep learning and automotive electronics, and mainly provides a new 4D millimeter wave radar target detection method, which comprises the following s...

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Hauptverfasser: CAI YUHENG, ZHOU GUAN, ZHOU RUCHEN
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ZHOU GUAN
ZHOU RUCHEN
description The invention discloses a Darknet53 network-based 4D millimeter wave radar point cloud target detection method, which belongs to the field of computer deep learning and automotive electronics, and mainly provides a new 4D millimeter wave radar target detection method, which comprises the following steps of: in a pre-processing part, projecting and dispersing a 3D radar point cloud into a bird's-eye view 2D grid map; a height feature, a speed feature, a reflection intensity feature and a grid density feature form a four-channel feature pseudo graph to be input into a detection network, and the calculation amount of the network can be greatly reduced. A Darknet53 network is used as a main body target detection network framework, and a pooling pyramid (SPP) module is added to realize fusion of local features and global features of the whole network, so that the expression ability of a feature map can be effectively enriched. According to the method, target features can be efficiently and accurately extracted fro
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subjects ANALOGOUS ARRANGEMENTS USING OTHER WAVES
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION ORRERADIATION OF RADIO WAVES
MEASURING
PHYSICS
RADIO DIRECTION-FINDING
RADIO NAVIGATION
TESTING
title 4D millimeter wave radar point cloud target detection method based on Vision Transform network
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