Administration and consistency of proximity beacon naming within one or more venues is improved by use of a mobile device to discover ranges of the beacons, and upon discovery, determining a location of a mobile computing device within the venue; receiving at the location by the mobile computing device one or more identifiers from one or more proximity beacons within range of the location; and updating by the mobile device at least one of the one or more identifiers according to a proximity beacon naming policy.

Methods and systems detect physical locations of vessels. A first satellite includes a first image sensor. A second satellite includes a second image sensor. The processor receives a first image of a target area from the first image sensor, and a second image of the target area from the second image sensor. Both images are taken within a predetermined time frame. The processor performs image recognition to identify a vessel that appears in both the first image and the second image. The processor receives the first satellite's location and orientation when the first image is taken and the second satellite's location and orientation when the second image is taken. Each satellite's location and orientation are determined by the satellite's geographic determination module. The processor determines the vessel's location by performing triangulation based on the first satellite's location and orientation and the second satellite's location and orientation. The processor outputs data representative of the vessel's determined location. The vessel's speed and bearing are also determined by the processor.

Augmented reality apparatus and methods of use are provided with secure persistent digital content linked to a location coordinates. More specifically, the present invention links a physical location with digital content to enable a user interface with augmented reality that combines aspects of the physical area with location specific digital content. According to the present invention, digital content remains persistent with a location even if visual aspects of the location change.

A method for safe positioning and related products are provided. Three neighbor awareness network (NAN) devices at a road junction are determined, and a NAN among an electronic device and the three NAN devices is established, where each of the three NAN devices in the NAN locates at a fixed position. Positions of the electronic device and positions of a vehicle in a same plane coordinate map are obtained, where the electronic device and the vehicle are positioned by the three NAN devices, and determine that the vehicle is approaching the electronic device according to positional variations of the electronic device and the vehicle. A distance between the electronic device and the vehicle is determined according to the positions of the electronic device and the positions of the vehicle, and reminding information is outputted when the distance is smaller than a preset threshold.

In a vehicle, a vehicle body-side apparatus is configured to perform a main area determination and an auxiliary area determination. The main area determination determines whether a portable terminal is present in a main area based on a first reception intensity measured by the vehicle body-side apparatus in a wireless signal from the portable terminal. The auxiliary area determination determines whether the portable terminal is present in an auxiliary area based on a second reception intensity measured by a vehicle tire-side apparatus in a wireless signal from the portable terminal.

Techniques for determining an item location based on multiple RFID parameters from multiple read events are described. In an example, a computer system may access a first read event. A first RFID reader located within a first zone may have generated the first read event at a first time. The first read event may identify an RFID tag and may include first RFID parameters. The computer system may access a second read event. A second RFID reader located within a second zone may have generated the second read event at a second time within a predefined amount of time from the first time. The second read event may identify the RFID tag and include second RFID parameters. The computer system may determine whether the item location falls within the first zone or the second zone based on two or more first RFID parameters and two or more second RFID parameters.

A vehicle-enabled user equipment (VUE) and related techniques are disclosed. In one aspect, the VUE issues a periodic broadcast, or signals a response to a requesting source, identifying its location management capability (LMC). The UE forms a link with a recipient VUE of the broadcast to perform joint localization of the pedestrian UE (PUE). Joint localization by VUE and another VUE may be performed by VUEs and PUEs in the region exchanging ranging signals and ego measurements. The VUE determines a location jointly of the PUE. The location can be determined upon a request, periodically, or in response to a triggered event.

An abnormality detection method of an infrastructure sensor apparatus according to the present disclosure is an abnormality detection method of an infrastructure sensor apparatus configured to detect a mobile body that passes within a sensing range, the abnormality detection method including: calculating mobile body information at least including positional information and moving speed information on the mobile body based on information on the mobile body detected by the infrastructure sensor apparatus; calculating probe data at least including positional information and moving speed information on the mobile body based on self positional information of the mobile body received using a radio communication function included in the mobile body; and performing abnormality determination processing in which it is determined that there is an abnormality in the infrastructure sensor apparatus when the mobile body information does not match the probe data.

Systems and methods for sound source detection and localization utilizing an autonomous driving vehicle (ADV) are disclosed. The method includes receiving audio data from a number of audio sensors mounted on the ADV. The audio data comprises sounds captured by the audio sensors and emitted by one or more sound sources. Based on the received audio data, the method further includes determining a number of sound source information. Each sound source information comprises a confidence score associated with an existence of a specific sound. The method further includes generating a data representation to report whether there exists the specific sound within the driving environment of the ADV. The data representation comprises the determined sound source information. The received audio data and the generated data representation are utilized to subsequently train a machine learning algorithm to recognize the specific sound source during autonomous driving of the ADV in real-time.

A portable terminal comprises an ID acquisition section, a position information acquisition section and a return instruction section. The ID acquisition section acquires ID information that specifies a print job sent from an information processing apparatus to an image forming apparatus. In a case in which the ID information is acquired and a beacon signal is received from a beacon transmitter, the position information acquisition section acquires, according to the received beacon information, position information relating to a position of the portable terminal relative to the image forming apparatus. If the position information meets a specific condition indicating the approach of the portable terminal to the image forming apparatus, the return instruction section instructs the image forming apparatus to return from a power-saving mode to a normal mode.