Abstract: Aspects of the present disclosure relate to using vehicle telematics to detect, evaluate, and respond to driving behaviors observed during a trip in a vehicle. The vehicle telematics information may characterize the observed driving behaviors, the segments traveled in the vehicle, and type of use of the vehicle. A rate to charge a driver may be based on the observed driving behaviors and a range of rates associated with the driver. The rate may fluctuate across a series of observation periods based on the driving behaviors observed during those observation periods. The rate may be presented to the driver in real-time while the driver operates a vehicle during a trip. The rate to charge the driver may further be based on use of the vehicle for personal use, ride shares, or vehicle shares.

Abstract: A system includes a bin detector comprising an antenna, a bin configured to accommodate at least one item and having a bin unique identifier, at least one processor to receive a weight of the at least one item from at least one sensor in communication with a scale, and at least one battery to power the system, the bin detector to transmit a first signal, receive a second signal in response to the first signal for each of the at least one item and determine an item unique identifier for each of the at least one item, and transmit the bin unique identifier, the item unique identifier for each of the at least one item, and the weight information to the processor to transmit the bin unique identifier, the item unique identifier for each of the at least one item, and the weight information to a server computing device.

Abstract: A transmitter for inground use controls a depth signal transmit power in relation to a data signal transmit power such that one reception range of the depth signal at least approximately matches another, different reception range of the data signal. A portable device can form a system with the transmitter in which the portable device scans a plurality of frequencies within at least one low frequency depth signal range to measure the electromagnetic noise at each one of the plurality of frequencies and identify at least one of the frequencies as a potential depth frequency for the transmitter. The portable device can include a dual mode filter having a rebar mode and a normal mode filter. The depth signal frequency is dynamically positionable in relation to low frequency noise.

Abstract: A rear lateral blind-spot warning system for a vehicle includes a sensor configured to sense position information and movement information on an external obstacle, a determiner configured to determine the type of the external obstacle located in a rear blind spot or a lateral blind spot of the vehicle based on the position information and the movement information sensed by the sensor, a setter configured to set a rear lateral blind-spot warning range or a rear lateral blind-spot warning time based on the type of the external obstacle determined by the determiner, and a controller configured to control rear lateral blind-spot warning operation based on the rear lateral blind-spot warning range or the rear lateral blind-spot warning time set by the setter.

Abstract: The present disclosure provides a method for managing a parking lot in a smart city based on an Internet of Things, which is executed by a management platform. The method comprises obtaining a user position of a user platform based on a service platform, determining a candidate parking lot that meets a preset condition; determining time when a vehicle to be parked arrives at the candidate parking lot based on the user position; determining free parking space information when the vehicle to be parked arrives at the candidate parking lot; determining recommendation information based on the free parking space information; and sending the recommendation information to the user platform based on the service platform.

Abstract: A method and system for training a fall detection classifier using subject-specific movement data. A subject sets a preferred non-fall detection rate. Movement data responsive to a subject's movements during everyday activities are obtained over a predetermined data collection period. For each detected event in the movement data, values for one or more parameters that may (together or individually) indicate a fall are obtained. The obtained values are used to generate a subject-specific non-fall detection rate function. This non-fall detection rate function is used to derive a threshold value, in reference to the subject-set preferred non-fall detection rate, to distinguish fall events from non-fall events.

Abstract: A technique is directed to methods and systems for managing multiple traffic light devices. In some implementations, the method includes (1) receiving a request for route planning for a vehicle; (2) determining a location of the vehicle; (3) planning a route for the vehicle at least based on the request and a set of rules; and (4) implementing the route for the vehicle by communicating with one or more of multiple traffic light devices along the route. In some implementations, the set of rules includes a subscription plan associated with the vehicle, and the subscription plan is indicative of an assigned priority of the vehicle.

Abstract: Disclosed herein is a virtual pedestrian traffic light (VPTL) system and method that provides an infrastructure-free way to provide the right-of-way to pedestrians at intersections. The invention is most effective when integrated with existing virtual traffic light (VTL) systems to provide complete infrastructure-free control of traffic at intersections.

Abstract: The present invention relates to a computer-implemented system and method for preventing users from bending their necks too far forward or past thirty degrees away from vertical during viewing of a handheld electronic device. The system uses a computer-implemented application installed in the device that determines flexion of the user's neck and compares with a threshold to determine a ‘tech neck’ condition. The application generates an alert displayed on the screen of the device to indicate the ‘tech neck’ condition and further, can pause or hang the display when the ‘tech neck’ condition is continued to be determined. The system and method assist in preventing injuries, strains and disabilities to both children and adults that use electronic devices for extended periods of time.

Abstract: In one example in accordance with the present disclosure, a system is described. The system includes at least one directional antenna to 1) emit energy waves towards a mass in which an object is disposed and 2) receive reflected signals from a resonator disposed on the object as the mass is moved relative to the directional antenna. The system also includes a controller to, based on received reflected signals, determine a pose of the object within the mass.

Abstract: Provided is a method executed by a marking device that marks a first pedestrian crossing to be visually recognized by a pedestrian who is going to cross a roadway and a second pedestrian crossing to be visually recognized by a driver of a vehicle on the roadway. The method includes: marking the first pedestrian crossing and the second pedestrian crossing when one or more conditions including at least a condition that a first pedestrian who is going to cross the roadway from a first side to a second side is detected are satisfied; starting to unmark the first pedestrian crossing from the first side to the second side while the first pedestrian is crossing the roadway; and unmarking the second pedestrian crossing when the first pedestrian has finished crossing the roadway.

Abstract: This document describes techniques and systems for vehicle localization based on radar detections in garages and other GNSS denial environments. In some examples, a system includes a processor and computer-readable storage media comprising instructions that, when executed, cause the system to obtain structure data regarding a GNSS denial environment and generate, from the structure data, radar localization landmarks. The radar localization landmarks include edges or corners of the GNSS denial environment. The instructions also cause the processor to generate polylines along or between the radar localization landmarks to generate a radar occupancy grid. The instructions further cause the processor to receive radar detections from one or more radar sensors and obtain a vehicle pose within the radar occupancy grid to localize the vehicle within the GNSS denial environment. In this way, the system can provide highly accurate vehicle localization in GNSS denial environments in a cost-effective manner.

Abstract: A route control device includes a control unit that sets an angle of a guideway for guiding a wheelchair user with respect to a roadway in accordance with a length of a waiting time for which a vehicle traveling on the roadway is kept waiting, when the wheelchair user who is about to cross the roadway is detected, and performs a control of displaying a pedestrian crossing including the guideway on the roadway.

Abstract: An automatic parking system which controls a vehicle so as to cause the vehicle to be moved to a parking place and accommodated in a parking frame provided in the parking place includes a route where magnetic marker is laid so as to be detectable by using a magnetic sensor array provided to the vehicle, RFID tag providing tag information capable of identifying laying position of the magnetic marker, and a control server device which identifies a vehicle position based on the laying positions of the magnetic markers, allowing highly-accurate identification of the position of the vehicle to be forwarded and allowing operation with high reliability.

Abstract: A vehicle safety system performs close-in incipient collision detection that combines high sample rate near-field sensors with advanced real-time processing to accurately determine and report risky driver behavior.

Abstract: Properly parking personal mobility vehicles (PMVs) is an important for safety and public satisfaction. The large number of daily rides of ride-share PMVs makes it impossible to verify manually that each PMV is properly parked. Aspects of this disclosure include systems and methods for verifying that PMVs are properly parked. These systems and methods can include training a machine learning model on a server. The system can request that users submit images to the server, such that the server can verify that the user properly parked the PMV. The server can transmit a finished indication when it determines that the user properly parked the vehicle. The server can transmit instructions to the user to take various actions when it determines that the user improperly parked the vehicle or when the image is insufficient to determine whether the user properly parked the vehicle.

Abstract: A traffic signal control system includes a processor configured to adjust a green time of a traffic signal based on vehicle class information on each of vehicles of a vehicle group approaching an intersection. The vehicle class information indicates whether the vehicle is an environmentally friendly vehicle or an environmentally unfriendly vehicle that is not the environmentally friendly vehicle.

Abstract: Parking detection sensor (100) has a Doppler sensor (110), a magnetic sensor (120) that detects magnetism on XYZ axes, a change point detection unit (130) that detects a change point in the output of the Doppler sensor (110) and the magnetic sensor (120), a level difference detection unit (140) that detects the magnetic level difference over time in the output of the Doppler sensor (110) and the magnetic sensor (120), and a state assessment unit (150) that assesses the parking state of a vehicle on the basis of the detection results of the change point detection unit (130) and the detection results of the level difference detection unit (140).

Abstract: Methods and systems for monitoring occupant health within a building. An illustrative method may include storing one or more illness behavioral models, capturing and storing over time a history of behaviors for each of a plurality of occupants of the building, identifying one or more current behaviors of a particular one of the plurality of occupants, determining whether the current behaviors of the occupant match one or more of the behaviors defined in the one or more illness behavioral models, determining whether the current behaviors of the occupant deviate from behaviors captured and stored in the history of behaviors for the occupant, and issuing an alert directing that the occupant undergo additional health screening when the current behaviors of the occupant match one or more of the behaviors defined in the illness behavioral models or deviate from behaviors captured and stored in the history of behaviors for the occupant.

Abstract: An intelligent parking method of an autonomous driving vehicle is provided. The intelligent parking method includes steps of: recommending a first parking location according to an acquired target location; constructing an observation area according to the first parking location; obtaining environmental data of the observation area when the autonomous driving vehicle reaches the observation area; determining whether the first parking location is available or not according to the environmental data of the observation area; driving to the first parking location to park when the first parking location is available; or acquiring a second parking location according to a predetermined evaluation rule when the first parking location is unavailable, and recommending the one or more second parking locations to the user for selection; and driving to the second parking location selected by the user to park.