Otis Elevator Company

Carrier Corporation

Telenav Gmbh

Inventec Corp.

United Technologies Research Center (China) Ltd.

Tetenav, Inc.

Hui Fang

Alan Matthew Finn

Zhen Jia

Yu Liu

Arthur Hsu

Qiang Li

Jianwei Zhao

Anna Su

Yanzhi Chen

LongWen Wang

Peter R Harris

Jie Xi

Alois Senger

ZhaoXia Hu

Zhaoxia Hu

Michael J Birnkrant

Jennifer M Alexander

Congmin Bai

Wilfrid Fuchs

Hongcheng Wang

Walter Thomas Schmidt

Feng Chen

Gero Gschwendtner

Yanying Chen

JianGuo Li

Wei Ge

Liu Yu

Lina Hu

Xiangyu Wang

Xiangbao Li

William A Veronesi

Jianguo Li

David L Lincoln

Chaucer C Chiu

Antonio M Vincitore

Mei Chen

Luca F Bertuccelli

Vivek Venugopalan

Keyu Li

Nigel Bruce Morris

Zhengang Zhu

Qian Li

Mengchao Mu

XuLei Guo

Stephen K Richmond

DuEon Kim

Zhu Zhenggang

Kai Zhang

Alan Matthiew Finn

A method of operation of a navigation system comprising: receiving multiple frames, including a first frame and a second frame, of images; detecting a traffic sign from the images between the first frame and the second frame based on a sign recognition model; extracting a first image from the first frame and a second image from the second frame; matching the traffic sign is the same in the first image and the second image based on a similarity model; generating a sign location of the traffic sign with an inertial measurement unit reading based on the first image and the second image; and generating a global coordinate for the sign location for displaying on a navigation map.

Navigation system with mono-camera based traffic sign tracking and positioning mechanism and method of operation thereof

A method of operation of a navigation system includes: determining a geographic location, of a vehicle, while a global positioning location is blocked by an obstruction and the geographic location is from an in-vehicle location sensor in the vehicle; extracting an image line from a surrounding image with an artificial intelligence model and the surrounding image is from an in-vehicle image sensor in the vehicle; transforming an image coordinate of the image line to a world coordinate of a HD map local storage based on the geographic location; extracting a map line from the HD map local storage based on the world coordinate; determining a pose relationship between the image line and the map line paired as either horizontal or vertical; generating a map-related location for the vehicle based the geographic location and the pose relationship; and communicating the map-related location for displaying on a user interface.

Navigation system with independent positioning mechanism and method of operation thereof

A passenger tracking system includes a multiple of sensors for capturing depth map data of objects. A processing module in communication with the multiple of sensors to receive the depth map data, the processing module uses the depth map data to track an object and calculate passenger data associated with the tracked object to generate a passenger tracking list that tracks each individual passenger in the passenger data from an origin lobby to a destination lobby and through an in-car track between the origin lobby and the destination lobby.

Traffic list generation for passenger conveyance

The present invention relates to a system for monitoring an elevator door, an elevator system, and a method for monitoring an elevator door. The elevator door has an open state or a closed state implemented by moving along an elevator sill. The system for monitoring an elevator door includes: one or more imaging sensors configured to collect image data and depth data of at least one section in the elevator sill that is exposed when the elevator door is in the open state; and a data processing device in communication with the imaging sensor and configured to receive and process the image data and the depth data to determine whether an obstacle preventing the elevator door from entering the closed state exists in the section. By applying the present invention, the safety of the elevator door can be improved effectively, and equipment property losses and personal injuries can be avoided.

Elevator door monitoring system, elevator system and elevator door monitoring method

A navigation system includes: a control circuit configured to: generate a video clip by parsing an interval of a sensor data stream for a region of travel; analyze the video clip submitted to a deep learning model, already trained, including identifying a traffic flow estimate; access a position coordinate for calculating a distance to intersection; generate a traffic flow state by fusing a corrected speed, the traffic flow estimate, and the distance to intersection; merge a vehicle maneuvering instruction into the traffic flow state for maneuvering through the region of travel; and a communication circuit, coupled to the control circuit, configured to: communicate the traffic flow state for displaying on a device.

Navigation system with traffic state detection mechanism and method of operation thereof

Methods and systems for controlling elevator systems are provided. The methods include receiving inputs from at least one interactive input device, wherein the inputs include elevator call requests, tracking one or more people located within a monitored area using at least one sensor, assigning elevator assignments to the one or more people based on at least one of the inputs from the at least one interactive input device and a grouping algorithm based on the tracking of the one or more people, and scheduling operation of at least one elevator car based on the elevator assignments.

Systems and methods for improved elevator scheduling

A human flow estimation system comprises: a sensor network comprising a plurality of sensors arranged in a to-be-estimated region for detecting the human flow; a model building module configured to build a human flow state model based on arrangement positions of the sensors, and build a sensor network model based on data of the sensors; and a human flow estimation module configured to estimate the human flow and provide a data weight of the estimated human flow based on the human flow state model and the sensor network model. The human flow estimation system further comprises a failure detection module configured to detect whether each sensor in the sensor network is abnormal, and the model building module is further configured to adjust the human flow state model and the sensor network model when an exception exists on the sensor.

People flow estimation system and the failure processing method thereof

An elevator door control system, an elevator system, and an elevator door control method based on to-be-carried object grouping identification. The elevator door control system includes one or more three-dimensional sensors, arranged to capture three-dimensional data of to-be-carried objects in an elevator waiting region, wherein the three-dimensional data includes depth data; a data processing device, communicating with the three-dimensional sensor, and configured to receive and process the three-dimensional data, to provide grouping data of one or more groups obtained according to correlations between the to-be-carried objects and position data of each to-be-carried object in the elevator waiting region; and a control device, connected to an elevator door, communicating with the data processing device, and configured to control operation of the elevator door according to the grouping data and the position data.

Elevator door control system, elevator system, and elevator door control method

A detection system for measuring one or more conditions within a predetermined area including a fiber harness having at least one fiber optic cable for transmitting light. The at least one fiber optic cable defines a plurality of nodes arranged to measure the one or more conditions. A control system is operably coupled to the fiber harness such that scattered light associated with the plurality of nodes is transmitted to the control system. The control system analyzes the scattered light from each of the plurality of nodes individually and the control system analyzes the scattered light from each of the plurality of nodes collectively to determine at least one of a presence and magnitude of the one or more conditions within the predetermined area.

High sensitivity fiber optic based detection

A control system of a detection system for measuring one or more conditions within a predetermined area includes a control unit having at least one processor for implementing an algorithm and a fiber harness having at least one fiber optic cable for transmitting light, the at least one fiber optic cable defining at least one node arranged to measure the one or more conditions. A sensor is operably coupled to the at least one node, wherein the sensor receives scattered light associated with the at least one node and generates signals corresponding to the scattered light. A switch is operably coupled to the sensor and to the control unit. The switch selectively provides signals from the sensor to the control unit for processing to determine at least one of a presence and magnitude of the condition within the predetermined area.

The present invention provides a human flow estimation system and a human flow estimation method. The human flow estimation system comprises: a sensor network comprising a plurality of sensors for collecting data and respectively arranged in each to-be-estimated region and between the to-be-estimated regions; a model building module configured to build a horizontal human flow model and a vertical human flow model based on the plurality of sensors arranged in each to-be-estimated region and/or arranged between the to-be-estimated regions; and a human flow estimation module configured to estimate human flow data based on the horizontal human flow model and the vertical human flow model. The human flow estimation system and the human flow estimation method according to the present invention can realize high-precision estimation of human flow data in a three-dimensional space.

People flow estimation system and people flow estimation method

A system and method of detecting smoke including establishing a baseline measurement for each of at least three overlapping sensing volumes; comparing a measured reading within each of the at least three sensing volumes and the baseline measurements to determine whether the measured reading is within a sensing threshold, and annunciating a warning signal if the difference is outside the sensing threshold.

Smoke detection methodology

An elevator system is provided and includes a sensor assembly and a controller. The sensor assembly is disposable in or proximate to an elevator lobby and is configured to deduce an intent of an individual in the elevator lobby to board one of one or more elevators and to issue a call signal in response to deducing the intent of the individual to board the one of the elevators. The controller is configured to receive the call signal issued by the sensor assembly and to assign one or more of the elevators to serve the call signal at the elevator lobby.

Depth sensor and method of intent deduction for an elevator system

A detection system for measuring one or more conditions within a predetermined area includes a fiber harness having at least one fiber optic cable for transmitting light. The at least one fiber optic cable defines a node arranged to measure the one or more conditions. A control system is operably coupled to the fiber harness such that a signal indicative of scattered light associated with the node is transmitted to the control system. The control system analyzes the signal associated with the node in one or more of a frequency domain, time-frequency domain, time domain, and spatial domain, to determine at least one of a presence and magnitude of the condition within the predetermined area.

Growing community of inventors

Shanghai, China

Hui Fang