公开(公告)号：US20140043159A1

公开(公告)日：2014-02-13

申请号：US13963169

申请日：2013-08-09

Applicant: Denso Corporation

Inventor： Tokuya INAGAKI ,  Kenji MUTOU ,  Masumi EGAWA ,  Hiromasa HANAI

IPC: G08B23/00

CPC classification number: G08B23/00 ,  G08B25/00 ,  G08B29/185

Abstract: In a security system, a first collecting module cyclically collects target-object information indicative of environments of a target object and a monitored area in which the target object exits. An alarm module determines whether there is an abnormal situation associated with at least one of the target object and the monitored area based on the target-object information, and sets off an alarm indicative of a result of the determination that there is an abnormal situation. A second collecting module cyclically collects circumstance information indicative of a situation of an area surrounding the monitored area. An abnormal situation determining module calculates, based on the circumstance information, a probability that an abnormal situation associated with at least one of the target object and the monitored area will occur, and deter mines whether the probability is equal to or higher than a threshold level.

Abstract translation: 在安全系统中，第一收集模块循环地收集指示目标对象的环境的目标对象信息和目标对象退出的被监视区域。 报警模块基于目标对象信息来确定是否存在与目标对象和被监视区域中的至少一个相关联的异常情况，并且设置指示出存在异常情况的确定结果的报警。 第二收集模块循环地收集指示监视区域周围区域的情况的情况信息。 异常情况决定模块根据情况信息计算与目标对象和被监视区域中的至少一个相关联的异常情况发生的概率，并且确定概率是否等于或高于阈值水平 。

公开(公告)号：US20230020267A1

公开(公告)日：2023-01-19

申请号：US17934507

申请日：2022-09-22

Applicant: DENSO CORPORATION

Inventor： Shunsuke MOCHIZUKI ,  Kazuhito TAKENAKA ,  Midori KATO ,  Kenji MUTOU

IPC: G01C21/34

Abstract: A drive assistance apparatus predicts demand for vehicles in each area including a driving route, based on a demand prediction model for predicting the demand in the area. The drive assistance apparatus also predicts the frequency of occurrence of an obstacle in each of the regions obtained by dividing the area, based on a frequency model for predicting the frequency of occurrence of the obstacle in the region, and generates a driving route of the vehicle, based on the predicted demand in the area and the predicted frequency of occurrence of the obstacle.