首页> 外国专利> Simultaneous Localization And Mapping Constraints In Generative Adversarial Networks For Monocular Depth Estimation

Simultaneous Localization And Mapping Constraints In Generative Adversarial Networks For Monocular Depth Estimation

机译:用于单眼深度估计的生成对抗网络中的同时定位和映射约束

摘要

The disclosure relates to systems, methods, and devices for determining a depth map of an environment based on a monocular image. A method for determining a depth map includes receiving a plurality of images from a monocular camera forming an image sequence. The method includes determining pose vector data for two successive images of the image sequence and providing the image sequence and the pose vector data to a generative adversarial network (GAN), wherein the GAN is trained using temporal constraints to generate a depth map for each image of the image sequence. The method includes generating a reconstructed image based on a depth map received from the GAN.
机译:本公开涉及用于基于单眼图像确定环境的深度图的系统,方法和设备。用于确定深度图的方法包括从单眼相机接收形成图像序列的多个图像。该方法包括确定图像序列的两个连续图像的姿势矢量数据,并将图像序列和姿势矢量数据提供给生成对抗网络(GAN),其中使用时间约束来训练GAN,以为每个图像生成深度图。图像序列。该方法包括基于从GAN接收的深度图生成重建图像。

著录项

  • 公开/公告号US2019325597A1

    专利类型

  • 公开/公告日2019-10-24

    原文格式PDF

  • 申请/专利权人 FORD GLOBAL TECHNOLOGIES LLC;

    申请/专利号US201815961498

  • 发明设计人 PUNARJAY CHAKRAVARTY;KAUSHIK BALAKRISHNAN;

    申请日2018-04-24

  • 分类号G06T7/593;H04N13/271;H04N13/289;G06T7/73;

  • 国家 US

  • 入库时间 2022-08-21 12:11:03

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