公开(公告)号：US20160178377A1

公开(公告)日：2016-06-23

申请号：US14749603

申请日：2015-06-24

Applicant: HYUNDAI MOTOR COMPANY ,  Foundation of Soongsil University-Industry Cooperation

Inventor： Woo Chul JUNG ,  Young Woo CHOI ,  Je Min KIM ,  Hae Jung BAEK ,  Young Taek PARK

IPC: G01C21/00 ,  G01S19/13

CPC classification number: G01S19/13 ,  G01C21/34 ,  G01S19/40

Abstract: A navigation terminal includes a path controller configured to identify moving trajectories reaching respective points of interest, to cluster the identified moving trajectories into at least one moving section, to reflect a road correction mechanism in the at least one clustered moving section and to cluster the at least one clustered moving section into at least one moving path, and to extract one moving path, in which time sequential position information received from a GPS is corrected, from the at least one clustered moving path. Thereby, the navigation terminal is resistant to error of a GPS sensor, error generated due to a collection cycle, or error generated in correction, and precisely predicts a moving path.

Abstract translation: 导航终端包括路径控制器，其被配置为识别到达相应兴趣点的移动轨迹，将所识别的移动轨迹聚集到至少一个移动部分中，以反映至少一个聚集移动部分中的道路校正机构， 至少一个聚集移动部分进入至少一个移动路径，并且提取一个移动路径，在该移动路径中，从所述至少一个群集移动路径校正从GPS接收的顺序位置信息。 因此，导航终端抵抗GPS传感器的误差，由于收集周期而产生的误差，或校正中产生的误差，并精确地预测移动路径。

公开(公告)号：US20190138925A1

公开(公告)日：2019-05-09

申请号：US16170460

申请日：2018-10-25

Applicant: FOUNDATION OF SOONGSIL UNIVERSITY INDUSTRY COOPERATION

Inventor： Young Tack PARK ,  Myung Joong JEON ,  Seok Hyun BAE ,  Je Min KIM ,  Hyun Kyu PARK ,  Sung Hyuk BANG

IPC: G06N7/00 ,  G06F3/01 ,  G06N99/00

Abstract: A terminal device for generating user behavior data, a method for generating user behavior data, and a recording medium are provided. The disclosed terminal device may include a memory unit storing instructions readable by a computer; and a processor unit implemented to execute the instructions, where the processor unit may compute a probability distribution model for achieving the intentions of a user by using raw data related to time-dependent actions of the user and may generate user behavior data by using the probability distribution model, with the user behavior data comprising time series data in which multiple actions composing the intentions of the user are aligned in order.