公开(公告)号：US20140351173A1

公开(公告)日：2014-11-27

申请号：US14051534

申请日：2013-10-11

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Eun Hye KIM

IPC: G06Q50/32 ,  G06Q10/08

CPC classification number: G06Q50/32 ,  G06Q10/0833

Abstract: A method for automating issuing and attachment of a label including post ID information when a user intends to apply a registered post providing tracking and tracing information such as a registration or a parcel service by using an unmanned device of itself and an apparatus for receiving a registered post including a post receiving unit receiving reception information for receiving the registered post including a registered or parcel service post, and a reception information managing unit authenticating a user who intends to apply the registered post and verifying the reception information of the registered post to generate label information for issuing the label including the reception information.

Abstract translation: 一种用于当用户打算通过使用自身的无人设备来应用提供跟踪和跟踪信息（例如注册或包裹服务）的登记的信息时，自动发布和附加包括帖子ID信息的标签的方法以及用于接收注册的设备 其中包括接收接收信息的接收信息的接收单元，所述接收信息用于接收包括注册或包裹服务信息的登记信息;以及接收信息管理单元，用于认证用户应用所述登记的信息并验证所述登记信息的接收信息以生成标签 用于发布包括接收信息的标签的信息。

公开(公告)号：US20220204038A1

公开(公告)日：2022-06-30

申请号：US17502769

申请日：2021-10-15

Applicant: Electronics and Telecommunications Research Institute

Inventor： SEONGHUN SEO ,  Eun Hye KIM

IPC: B60W60/00 ,  G06K9/62 ,  G06K9/00 ,  G08G1/16 ,  G01S17/931 ,  G01S17/89 ,  G01P15/18

Abstract: A method and system for detecting a collision by an autonomous robot based on a multi-sensor long short-term memory (LSTM) are disclosed. The method includes generating an input of an LSTM model by combining an input image received from an autonomous robot, light detection and ranging (LiDAR) distance information, and acceleration information, learning a collision alert situation by inputting the input to the LSTM model, and determining a collision situation using an output of the LSTM model and a fully connected neural network (FNN) model.