Patent classifications
H04W4/021
SYSTEM AND METHOD FOR RAILROAD PERSONNEL SAFETY ASSURANCE
A system for enhancing personnel safety on a railroad track is presented. The system can receive data from sensors and/or a PTC system to determine positions of clients/worker and/or vehicles, and further utilize such data to determine if a vehicle is within a certain proximity of the client/worker location. The system can further generate geofences around clients/vehicles to and determine when such geofences intersect one another. Additionally, the present disclosure can assign severity levels and generate alerts with the assigned severity levels, and such severity levels can indicate how close a vehicle is to a particular location. It is an object of the invention to provide a system for generating alerts to notify personnel when they much retreat to a place of safety.
SYSTEM AND METHOD FOR RAILROAD PERSONNEL SAFETY ASSURANCE
A system for enhancing personnel safety on a railroad track is presented. The system can receive data from sensors and/or a PTC system to determine positions of clients/worker and/or vehicles, and further utilize such data to determine if a vehicle is within a certain proximity of the client/worker location. The system can further generate geofences around clients/vehicles to and determine when such geofences intersect one another. Additionally, the present disclosure can assign severity levels and generate alerts with the assigned severity levels, and such severity levels can indicate how close a vehicle is to a particular location. It is an object of the invention to provide a system for generating alerts to notify personnel when they much retreat to a place of safety.
TECHNIQUES FOR MANAGING WIRELESS ANALYTICS IN SIDELINK COMMUNICATIONS
Techniques for wireless communications are described. A first device may receive first control signaling that may indicate a second device in a wireless communications system. The first device may then identify, based on the received first control signaling, a set of devices for tracking the second device in the wireless communications system. In some examples, the first device may then transmit second control signaling to the identified set of devices for tracking the second device in the wireless communications system. The first device may then receive, based on the transmitted second control signaling, coordination information from the set of devices. The received coordination information may be associated with the second device. The coordination information collected by the set of devices may be used to predict changes in an environment surrounding the second device. By predicting dynamic changes in the environment, disruptions in wireless communication may be prevented.
DEVICE AND METHOD OF CALCULATING INDOOR/OUTDOOR SEAMLESS POSITIONING ON BASIS OF DATA FUSION AND COMMON MESSAGE FORMAT IN MULTIMODAL TRANSPORTATION
A device of calculating indoor/outdoor seamless positioning on the basis of a common message format according to an embodiment may include a domain provided with a sensor for detecting a moving subject and configured to generate sensing data, a positioning domain configured to receive the sensing data from the domain and perform data fusion or sensor fusion. A method of calculating indoor/outdoor seamless positioning on the basis of the common message format according to an embodiment may include entering, by a moving subject, a detection range of a sensor provided in a domain, generating, by the sensor, sensing data necessary to calculate positioning of the moving subject, transmitting the sensing data to a positioning domain that performs data fusion or sensor fusion of the sensing data, and generating, by the positioning domain, a common message format of the sensing data for seamless positioning of the moving subject.
SYSTEM AMD METHOD FOR PROVIDING SITUATIONAL AWARENESS INTERFACES FOR AUTONOMOUS VEHICLE OPERATORS
A supervisory control system is disclosed that provides an operator situational awareness interface use with monitoring a plurality of automated vehicles (AVs). The system is configured to: generate a map of a geographical area of interest; obtain location data and perceived risk data for a plurality of AVs in the geographical area; generate a vehicle icon corresponding to each AV; position the vehicle icon for each AV on the map based on the location data for a corresponding AV; apply a color coding to each vehicle icon based on a perceived risk level for a corresponding AV; and signal a display device to display an AV fleet map graphic that includes the color coded vehicle icons positioned on the map. The controller may be further configured to: generate an AV servicing queue graphic that displays vehicle icons in an order based on a determined servicing priority.
DETERMINING GEOLOCATION OF DEVICES IN A COMMUNICATION NETWORK
A machine learning method performed by a communication network monitoring device in which an incoming signaling record is received that includes radio signal attributes from a UE in the cellular communication network. A determination is made as to whether the UE incoming signaling record contains location (GPS) data. If the UE incoming signaling record contains GPS data, a machine learning model is generated for determining a location of future UEs in the communication network utilizing the GPS data and the radio signal attributes from the incoming UE signaling record. And if GPS data is not included in the UE incoming signaling record, then the geolocation for the UE is predicted using machine learning techniques utilizing a previous generated machine learning model as applied to the radio signal attributes from the incoming UE signaling record.
DETERMINING GEOLOCATION OF DEVICES IN A COMMUNICATION NETWORK
A machine learning method performed by a communication network monitoring device in which an incoming signaling record is received that includes radio signal attributes from a UE in the cellular communication network. A determination is made as to whether the UE incoming signaling record contains location (GPS) data. If the UE incoming signaling record contains GPS data, a machine learning model is generated for determining a location of future UEs in the communication network utilizing the GPS data and the radio signal attributes from the incoming UE signaling record. And if GPS data is not included in the UE incoming signaling record, then the geolocation for the UE is predicted using machine learning techniques utilizing a previous generated machine learning model as applied to the radio signal attributes from the incoming UE signaling record.
Multizone equipment tracking system and method
A multizone equipment tracking solution includes radio frequency identification (RFID) tags affixed to items of inventoried equipment; a plurality of RFID readers deployed in a plurality of different zones, including a transit zone and a storage zone, wherein an RFID reader in a transit zone comprises a mobile reader and a wireless signal strength measurement component; and a monitoring node. The RFID readers read tag codes from items that are in the different zones, and report the information to the monitoring node, permitting a real-time, end-to-end view of inventoried equipment across different zones. The RFID reader in the transit zone also measures a wireless signal strength (e.g., cellular) along a transit route and reports the measurements, thereby reducing a need for dedicated monitoring efforts by the wireless network operator. Reported data, may be advantageously mined to provide value for inventory management, while also providing cost savings for wireless network management.
Systems and methods for associating a telematics device with an asset tracker
An asset tracker deployed in an engineless vehicle and a telematics device coupled to a vehicle both send location updates to a telematics server. The asset tracker sends location updates at a faster rate upon leaving a shipping yard, for example. The telematics server associates the vehicle and engineless vehicles, determines whether they are travelling together, and sends a notification when they are not supposed to be travelling together.
Terminal verification method, and AP device, terminal and system
Disclosed are a terminal verification method, an AP device, a terminal and a system, wherein the AP device is an encrypted AP device. The method comprises: receiving a connection request sent by a first terminal, wherein the connection request comprises identification information of the first terminal; querying an authorization list according to the identification information of the first terminal, wherein the authorization list includes identification information of terminals located within a preset password-free range; and returning an authorization response to the first terminal when the authorization list includes the identification information of the first terminal, wherein the authorization response is used for instructing the first terminal to establish a network connection with the AP device. The AP device does not need to verify a first terminal located within a password-free range, thereby reducing the number of first terminals that require identity verification within a WLAN coverage range, reducing the resource consumption of the identity verification for the AP device, and enabling the use of a WLAN to be more convenient.