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MOTION-BASED OBJECT DETECTION IN A VEHICLE RADAR USING CONVOLUTIONAL NEURAL NETWORK SYSTEMS
MOTION-BASED OBJECT DETECTION IN A VEHICLE RADAR USING CONVOLUTIONAL NEURAL NETWORK SYSTEMS
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机译:基于卷积神经网络的车辆雷达中基于运动的目标检测
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摘要
Examples disclosed herein relate to a radar system in an autonomous vehicle for object detection and classification. The radar system has a radar module having a dynamically controllable beam steering antenna and a perception module. The perception module includes a machine learning module trained on a first set of data and retrained on a second set of data to generate a set of object locations and classifications, and a classifier to use velocity information combined with the set of object locations and classifications to output a set of classified data.
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