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GRABTAXI HOLDINGS PTE. LTD. (20240257352). SEGMENTING METHOD FOR EXTRACTING A ROAD NETWORK FOR USE IN VEHICLE ROUTING, METHOD OF TRAINING THE MAP SEGMENTER, AND METHOD OF CONTROLLING A VEHICLE

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SEGMENTING METHOD FOR EXTRACTING A ROAD NETWORK FOR USE IN VEHICLE ROUTING, METHOD OF TRAINING THE MAP SEGMENTER, AND METHOD OF CONTROLLING A VEHICLE

Organization Name

GRABTAXI HOLDINGS PTE. LTD.

Inventor(s)

Wenmiao Hu of Singapore SG

Yifang Yin of Singapore SG

An Tran of Singapore SG

Hannes Martin Kruppa of Singapore SG

Roger Zimmermann of Singapore SG

SEGMENTING METHOD FOR EXTRACTING A ROAD NETWORK FOR USE IN VEHICLE ROUTING, METHOD OF TRAINING THE MAP SEGMENTER, AND METHOD OF CONTROLLING A VEHICLE

This abstract first appeared for US patent application 20240257352 titled 'SEGMENTING METHOD FOR EXTRACTING A ROAD NETWORK FOR USE IN VEHICLE ROUTING, METHOD OF TRAINING THE MAP SEGMENTER, AND METHOD OF CONTROLLING A VEHICLE

Original Abstract Submitted

computer-implemented training method of training a map segmenter including a deep neural network, including: providing a training dataset including training image data including training pairs of map images of a geographical area acquired by one or more image acquisition apparatuses and corresponding segmentation masks, wherein the training image data may be stored a computer memory; generating synthetic map images by a computer-implemented generation method including creating synthetic map images by applying a generative adversarial network onto segmentation masks, wherein the segmentation masks may include the corresponding segmentation masks and additional segmentation masks; storing the synthetic map images and the corresponding additional segmentation masks as additional training data pairs in the training dataset in the computer memory; and training the map segmenter with the training dataset. computer-implemented segmenting method for extracting a road network for use in vehicle routing with the trained segmenter, and a computer program product are also disclosed.

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