Abstract: A traffic monitoring system has a controller and sensors placed in or on roads such that vehicles pass over or near the sensors, thereby casting shadows on the sensors as they pass. The sensors may be configured to detect the shadows, and a controller may be configured to determine any of a variety of information about the passing vehicles based on the detected shadows. For example, the controller may count the number of vehicles that pass, determine a speed of each passing vehicle, and determine a length of each passing vehicle. The sensors can be relatively inexpensive so that a relatively large number of sensors can be used to monitor a large area at a relatively low cost. In some embodiments, solar cells are used to power the sensors, and if desired, the solar cells may be used as the sensors for detecting the shadows of the vehicles being monitored.

Abstract: A calibration system includes: a storage unit that stores a reference trajectory of a mobile body in an image of a predetermined traffic environment photographed by an imaging sensor and a reference position in the image; an acquisition unit that acquires a plurality of the images of the traffic environment that are sequentially photographed; a generation unit that generates an estimated trajectory of the mobile body based on position information of the mobile body detected from the plurality of the images; a calculation unit that calculates an amount of positional deviation of the imaging sensor based on the reference trajectory and the estimated trajectory; a correction unit that corrects the reference position by using the amount of positional deviation; and an update unit that updates a position transformation model for transforming a two-dimensional position in the image into a three-dimensional position by using the corrected reference position.

Abstract: The present disclosure relates to a method to control a vehicle system. The method includes detecting a deviating vehicle having at least one of a deviating behaviour and a deviating vehicle property by means of a perception system of a first vehicle, wherein the perception system includes at least one sensor device configured to monitor a surrounding environment of the first vehicle; assigning a deviating vehicle classification to the deviating vehicle based on the deviating behaviour and/or deviating vehicle property; determining at least one second vehicle to receive information relating to the deviating vehicle; and transmitting to each determined second vehicle a set of information relating to the deviating vehicle, said set of information including at least one of the deviating vehicle classification and a predetermined instruction to be performed by the determined second vehicle, wherein the predetermined instruction is dependent on the deviating vehicle classification.

Abstract: An embodiment for alerting emergency contacts includes a portable device and data collecting computer comprising a processor and software. The processor is configured to connect to a communication system; submit data to a contact; and receive data from mobile devices. The mobile devices transmit data. If the data collecting computer receives distress data from the mobile device, the data collecting computer communicates to a first communication device. The processor is configured to communicate, via the communication system, to a first communication device; and submit data to the first communication device. The processor is configured to capture images of an intruder by utilizing artificial intelligence when prompted by the user. The artificial intelligence uses facial recognition to recognize face of the intruder.

Abstract: A method for sparse optical flow based tracking in a computer vision system is provided that includes detecting feature points in a frame captured by a monocular camera in the computer vision system to generate a plurality of detected feature points, generating a binary image indicating locations of the detected feature points with a bit value of one, wherein all other locations in the binary image have a bit value of zero, generating another binary image indicating neighborhoods of currently tracked points, wherein locations of the neighborhoods in the binary image have a bit value of zero and all other locations in the binary image have a bit value of one, and performing a binary AND of the two binary images to generate another binary image, wherein locations in the binary image having a bit value of one indicate new feature points detected in the frame.

Abstract: Disclosed herein are methods and systems for managing traffic violation or enforcement data using a distributed ledger. The distributed ledger provides a transparent chain of custody/evidence related to all digital interactions with traffic violation or enforcement data. The distributed ledger can be audited for data accuracy and integrity by nodes making up the system each time one of the nodes interacts with the traffic violation or enforcement data. For example, a digital evidence package related to a traffic violation event can be generated by a node within the system and a package digest can be logged in the distributed ledger beginning with the creation of the digital evidence package and each time that the digital evidence package is processed, modified, or reviewed by nodes within the system.

Abstract: Disclosed herein is a web-based videoconference system that allows for video avatars to navigate within the three-dimensional virtual environment. The system and methods provided include those for: (1) using zones in a three-dimensional virtual environment for limiting audio and video, (2) access control using zones, (3) access control of the three-dimensional virtual environment itself, and (4) controlling user connections in a three dimensional virtual environment.

Abstract: A method and an apparatus for stabilizing an image, a roadside device, and a cloud control platform are provided. The method may include: calculating, for a current image in an image sequence, a first offset between each image stabilization box of the current image and a corresponding image stabilization box of a template image; adding a first offset meeting a first preset condition to an observation list of a corresponding image stabilization box of the template image until there is an observation list meeting a second preset condition; and determining a position of the signal light of the current image, based on a first offset in an observation list of at least one image stabilization box and a position of the signal light of the template image.

Abstract: A communication control apparatus (10) according to the present disclosure includes a communication unit (11) communicating information to and from a moving body, a violation time predicting unit (12) predicting a violation time at which the moving body violates a constraint condition relating to a relative relationship between the moving body and another object or a constraint condition relating to a relative relationship between the moving body and a path on which the moving body should run by using positional information of the moving body, a deadline calculating unit (13) calculating an execution deadline of an avoidance operation for avoiding a violation of the constraint condition by using the violation time, and a communication control unit (14) increasing a priority level of a communication with the moving body as a time difference between a current time and the execution deadline decreases.

Abstract: Methods and devices for estimating position of a device within a 3D environment are described. Embodiments of the methods include sequentially receiving multiple image segments forming an image representing a field of view (FOV) comprising a portion of the environment. The image includes multiple sparse points that are identifiable based in part on a corresponding subset of image segments of the multiple image segments. The method also includes sequentially identifying one or more sparse points of the multiple sparse points when each subset of image segments corresponding to the one or more sparse points is received and estimating a position of the device in the environment based on the identified the one or more sparse points.

Abstract: A display apparatus includes circuitry to receive an input of hand drafted data, display, on a display, an object corresponding to the hand drafted data and an external image that is externally input, perform character recognition on the hand drafted data to convert the hand drafted data into text data, and display, on the display, a search result obtained using at least a part of the external image and at least a part of the text data.

Abstract: The present disclosure provides a method of determining a status of a position on a shelf, a shelf and a non-transitory computer-readable storage medium. The method includes: acquiring current detection data of the shelf in a current detection period; determining first status information of respective positions from the current detection data, in response to determining that the current detection data satisfies a preset condition; in response to the current detection data indicating that a target position whose first status information indicates the second status exists, acquiring first status information of the target position from previous detection data in a previous detection period; and determining second status information of the target position based on the first status information of the target position in the current detection data and the previous detection data respectively.

Abstract: One or more computing devices perform a method for placing a virtual tripwire onto grid points of a geocoordinate grid. A device processor directs a camera to capture a series of images within the camera's field of view. The processor identifies objects of interest within the images and determines movements of the objects through the images. The processor identifies directions of travel of the objects and determines variances in those directions of travel. The processor further determines vectors of median direction of travel for vector points corresponding to the objects on the grid. The processor then determines multiple candidate locations for placement of the tripwire across grid points of the grid in a direction approximately orthogonal to the direction of travel of at least one object of interest and automatically selects one of the candidate locations based on the vectors of median direction of travel and the travel direction variances.

Abstract: Disclosed are embodiments for determining efficient utilization of drones. In some aspects, a drone may be performing a task, and a new task may be identified. Whether the drone should be diverted from the existing task to the new task, in some embodiments, is based on a number of factors. These factors include, for example, a value associated with the existing task and a value associated with the new task. The values are based on, for example, a potential delay introduced in completing the existing task if the drone is diverted to the new task.

Abstract: A camera module includes a lens barrel configured to receive a lens, a substrate on which an image sensor is disposed, a housing configured to receive the lens barrel and to contact the substrate, a heat transfer member configured to contact the housing, and a heat dissipation member configured to contact the heat transfer member and dissipate heat from the heat transfer member in different lateral directions about the lens.

Abstract: System and method for verification and/or reconciliation of electronic transactions, such as for example, toll transactions or other purchase transactions. A vehicle utilizes an onboard communication device, such as a mobile phone, to locate virtual tolling points using GPS location, and then to communicate to an electronic tolling service provider that the vehicle has passed through the virtual tolling point. In addition, roadside equipment may be used to capture photo/video of the vehicle as it passes the virtual tolling point. The GPS-based toll transaction data is used in conjunction with the photo-based toll transaction data to verify a proper toll transaction, and optionally to reconcile between missing and/or inconsistent GPS-based and photo-based toll transaction data.

Abstract: Techniques for collecting, synchronizing, and displaying various types of data relating to a road segment enable, via one or more local or remote processors, servers, transceivers, and/or sensors, (i) enhanced and contextualized analysis of vehicle events by way of synchronizing different data types, relating to a monitored road segment, collected via various different types of data sources; (ii) enhanced and contextualized analysis of filed insurance claims pertaining to a vehicle incident at a road segment; (iii) advantageous machine learning techniques for predicting a level of risk assumed for a given vehicle event or a given road segment; (iv) techniques for accounting for region-specific driver profiles when controlling autonomous vehicles; and/or (v) improved techniques for providing a GUI to display collected data in a meaningful and contextualized manner.

Abstract: Provided is a display device. The display device includes a main body having a display, an outer box in which a control board configured to control the display is embedded, the outer box being separated from the main body, a first antenna provided in the main body, a second antenna configured to wirelessly communicate with the first antenna, the second antenna being provided in the outer box, an antenna bracket to which the second antenna is coupled, and an antenna mount to which the antenna bracket is coupled, the antenna mount being configured to cover an opening defined in the outer box. The antenna bracket includes an antenna cover configured to cover the second antenna and made of a transparent or translucent plastic material.

Abstract: An in-vehicle data collection and processing device receives real-time data from a plurality of sensors relating to at least one of a current vehicle condition and a current driver condition. The device then predicts, by processing at least a portion of the real-time data through a pre-trained pattern recognition algorithm, a likelihood of occurrence of at least one of a plurality of incidents involving the vehicle. In response, the device outputs one or more types of warnings and/or conducts a vehicle evasive maneuver if the likelihood is predicted to be above one or more thresholds.

Abstract: An implantable system includes an implanted camera that captures images. An analytics engine analyzes the images to determine whether any objects or aspects of the captured image is considered an unviewable element. Upon determining that an unviewable element is present, the analytics engine causes an occlusion device to occlude the unviewable element from the user's view. The occlusion can also affect the ability of the camera to continue to see the unviewable element.

Abstract: A picture annotation method, includes: converting, into a video image, multiple pictures in a set of pictures to be annotated; performing video annotation on the video image to obtain an annotation result; and using the obtained annotation result as an annotation result of each picture in the set of pictures to be annotated according to a correspondence between a video frame in the video image and a picture in the set of pictures to be annotated.

Abstract: A method includes collecting sensor data from a sensor associated with a vehicle, storing the sensor data in a buffer associated with the sensor, wherein the buffer stores an amount of buffer data, analyzing the sensor data for a proximate event trigger. When the proximate event trigger is not detected, the method includes purging a portion of the sensor data exceeding the amount of buffer data. When the proximate event trigger is detected, the method includes stopping the purging of any of the sensor data and storing the sensor data of the buffer and the sensor data associated with the proximate event trigger and sending the sensor data of the buffer and the sensor data associated with the proximate event trigger to a server.

Abstract: In some embodiments, a method can include executing a first machine learning model to detect at least one lane in each image from a first set of images. The method can further include determining an estimate location of a vehicle for each image, based on localization data captured using at least one localization sensor disposed at the vehicle. The method can further include selecting lane geometry data for each image, from a map and based on the estimate location of the vehicle. The method can further include executing a localization model to generate a set of offset values for the first set of images based on the lane geometry data and the at least one lane in each image. The method can further include selecting a second set of images from the first set of images based on the set of offset values and a previously-determined offset threshold.

Abstract: Provided are a system and a method for testing an ability of an automated vehicle to pass a traffic circle without traffic lights. The system includes an automated vehicle, a traffic circle, a control center, an attitude sensor and a panorama camera. In the method, the control center receives a test request and then sends a driving command to drive the automated vehicle to enter the traffic circle to start the test. The attitude sensor obtains a tilt angle and sends it to the control center in real time. The panorama camera is configured to obtain a driving trajectory, a driving speed and a state of turn signals of the automated vehicle. The obtained information is compared to a standard by the control center to evaluate the ability of the automated vehicle to pass the traffic circle without traffic lights.

Abstract: A vehicle control apparatus includes a communication unit, a display, and a processor. The communication unit can establish communication with an external apparatus. The processor can control the display to activate a graphic object of a content on the basis of communication reliability between the external apparatus and the communication unit.

Abstract: Each of multiple vehicle data collection devices are configured to collect data streams associated with operation of a vehicle. The data streams include time-stamped speed data. A transmitter is configured to transmit the data streams. An analytics server is configured to receive the data streams transmitted by the transmitter and to process the data. In connection with the processing, data streams with at least one common time stamp are identified. The time-stamped speed for one of the data streams at a first time interval is compared to the time-stamped speed for another of the identified plurality of data streams at a second time interval, where the second time interval comprises the first time interval plus an additional time increment. Based on the comparison, it is determined whether the two of the plurality of data streams are associated with a same trip or a different trip.

Abstract: A mobile telecommunications device configured to log driving information associated with a vehicle is described.

Abstract: A method for measuring an inter-vehicle distance using a processor is provided. The method includes acquiring a driving image photographed by a photographing device of a first vehicle; detecting a second vehicle from the driving image and calculating a ratio between an image width of the detected second vehicle and an image width of a lane in which the second vehicle is located; determining a size class of the second vehicle among a plurality of size classes based on the calculated ratio; determining a width of the second vehicle based on the determined size class of the second vehicle; and calculating a distance from the photographing device to the second vehicle based on the determined width of the second vehicle, a focal length of the photographing device, and the image width of the second vehicle.

Abstract: Methods and systems for automatically tracking and analyzing imagery data of at least one vehicle on a racetrack comprising. A video event management system with a plurality of video cameras positioned around a racetrack determines the presence of the at least one vehicle and based on a weighted event score corresponding to dynamics for the at least one vehicle and other objects captures video imagery and stills and generates at least one subframe. Excess video imagery data and excess stills data are discarded based on metadata of linked subframes.

Abstract: An analyzing apparatus according to an embodiment includes processing circuitry. The processing circuitry acquires a plurality of time-series medical images. The processing circuitry calculates, for each of image pairs each formed of two medical images included in the medical images, a first index value indicating similarity between image signals in the two medical images. The processing circuitry also calculates, on the basis of a plurality of the first index values calculated for the respective image pairs, a second index value corresponding to a statistical value in a time direction of the first index values.

Abstract: A driver assistance apparatus being configured to determine an object position sequence for each of a plurality of objects and generate an object track to approximate each respective object position sequence. The apparatus also sorts the object tracks in to at least one object group according to the value of at least one parameter of each of the object tracks. For each object group, a swarm function is generated to approximate the object position sequences of the object tracks that are members of the respective object group. A swarm lane is generated according to each the swarm function, the swarm lane portion representing a portion of a lane. A corresponding method is also provided.

Abstract: Apparatuses, methods, and systems disclosed herein that improve the safety and enhance the quality of interactions between law enforcement officers and drivers. In one example embodiment, a method is provided in which, during a traffic stop, a first device associated with an officer's vehicle obtains information about a driver's vehicle, queries a database for network address information associated with a driver device associated with the driver's vehicle, and receives the network address information from the database. The first device may then transmit a connection request to the second device using the received network address information; and a connection may be established between the two devices.

Abstract: Provided is a smart roadside unit, including: a high-bright camera assembly configured to capture a high-bright image; a low-bright camera assembly configured to capture a low-bright image, in which the high-bright camera assembly and the low-bright camera assembly have a substantially same shooting view; and a controller configured to extract vehicle information from the high-bright image and the low-bright image.

Abstract: The present invention discloses a system for selection of candidate video frames from traffic video comprising an imaging processor operatively connected to traffic video source. The imaging processor receives the traffic video from said source for selection of candidate video frames from the received traffic video for analysis of entire traffic video stream to extract vehicles details from therefrom including detection of situations of moving vehicles and non-moving vehicles. The traffic video is forwarded to the imaging processor from the source at an appropriate rate suitable for said candidate frames selection computation.

Abstract: Methods and devices for estimating position of a device within a 3D environment are described. Embodiments of the methods include sequentially receiving multiple image segments forming an image representing a field of view (FOV) comprising a portion of the environment. The image includes multiple sparse points that are identifiable based in part on a corresponding subset of image segments of the multiple image segments. The method also includes sequentially identifying one or more sparse points of the multiple sparse points when each subset of image segments corresponding to the one or more sparse points is received and estimating a position of the device in the environment based on the identified the one or more sparse points.

Abstract: A method of determining “true” standstill in a vehicle. The method includes detecting an object outside of the vehicle via a camera, saving first data on the detected object in a memory, detecting the same object after a delay, saving, after the delay, second data on the detected object in a memory, analyzing, by a controller, the first and second data, and determining “true” standstill has occurred based on the analysis.

Abstract: To provide HMD including an image display unit worn by a user on a head and configured to display an image, a camera provided in the image display unit and configured to capture an image in a predetermined direction relative to the image display unit, and a control unit configured to specify a non-display region in an imaging range of the camera, perform a process of lowering a clarity of the non-display region on captured image data of the camera, and output the processed captured image data.

Abstract: A commissioning system and method that applies a design configuration, representative of a building automation and control system, to a mesh network of network-capable devices. A cloud-based server system works in concert with an installing device, such as a smartphone or tablet, to apply the relevant configuration of scenarios and spaces, as defined in the design configuration during a design phase, to each mesh node in the mesh network. The commissioning system first transforms the defined scenarios and spaces, which essentially represent a logical configuration of the building automation and control system, into a network-centric configuration. Then, the system decomposes the network-centric configuration into a physical configuration of each mesh node, resulting in a set of parameters for each mesh node. The commissioning system then transmits the set of parameters, including one or more group addresses, to the applicable mesh node, for each affected mesh node in the network.

Abstract: A client terminal displays, on a display device, a visual feature of each of a plurality of vehicles passing through an intersection at a location where an incident occurred and map data indicating a passing direction of each of a plurality of vehicles passing through the intersection and sends, in response to a designation of any one of the plurality of vehicles, an instruction to set the designated vehicle as a tracking target vehicle to the server. When the instruction is received, a server specifies a camera of the intersection at which the tracking target vehicle is highly likely to enter next based on at least a current time and a passing direction of the tracking target vehicle at the intersection and sends camera information of the specified camera to the client terminal. When the camera information is received, the client terminal displays, on the display device, a position of a camera corresponding to the camera information to be superimposed on the map data identifiably.

Abstract: A traffic violation vehicle identification system, a server and a non-transitory recording medium is provided. The traffic violation vehicle identification system includes a first vehicle and a server. The first vehicle is configured to generate a first picture by photographing a traffic light in an travel direction of the first vehicle and an oncoming vehicle or a crossing vehicle at an intersection, and send violation vehicle information including characteristic information about a traffic violation vehicle performing a traffic violation and a first sending picture, to the server, when the first vehicle detects the traffic violation vehicle in the first picture, the first sending picture being at least a part of the first picture including an evidence picture of the traffic violation, the characteristic information being extracted from the first picture.

Abstract: Systems and methods for assisting navigation of traffic participants are described herein. An exemplary method may commence with collecting street object data by at least one sensor mounted on one of a plurality of poles. The street object data may be associated with at least one street object within a range of the at least one sensor. The method may continue with analyzing the street object data and generating street object metadata corresponding to the at least one street object. The method may continue with broadcasting the street object metadata to at least one traffic participant within the range. The street object metadata may be used to provide at least one warning to the at least one traffic participant of traffic conditions to allow the at least one traffic participant to take at least one proactive action.

Abstract: A traffic violation vehicle identification system, a server and a non-transitory recording medium is provided. The traffic violation vehicle identification system includes a first vehicle and a server. The first vehicle is configured to generate a first picture by photographing a traffic light in an travel direction of the first vehicle and an oncoming vehicle or a crossing vehicle at an intersection, and send violation vehicle information including characteristic information about a traffic violation vehicle performing a traffic violation and a first sending picture, to the server, when the first vehicle detects the traffic violation vehicle in the first picture, the first sending picture being at least a part of the first picture including an evidence picture of the traffic violation, the characteristic information being extracted from the first picture.

Abstract: A method for detecting an elevated object situated within a parking facility, using at least two video cameras that are spatially distributed within the parking facility and whose visual ranges overlap in an overlap area. The method encompasses the following: recording particular video images of the overlap area with the aid of the video cameras; analyzing the recorded video images in order to detect an elevated object in the recorded video images, and ascertaining, based on the recorded video images, whether in the detection of an elevated object the detected elevated object is real. A corresponding system, a parking facility, and a computer program are also provided.

Abstract: The invention provides a system and method of monitoring a vehicle during commute. The system comprising of one or more camera modules in communication with one or more computation device. A camera module is configured to collect multiple data during the commute including video frames of one or more views, and location, position, direction, orientation, velocity and the combination thereof of the vehicle. The collected data is sent to a computation device where the data is analyzed to identify events and the same will be notified to one or more user device(s). In one embodiment, the communication between the computation device and the camera module may be carried out wirelessly via Wi-Fi where the camera module is configured to act in one or more modes of communication such as an access point (AP) mode or a station (STA) mode or Wi-Fi direct or the combination thereof.

Abstract: A vehicle control system configured to maintain detection accuracy of an external sensor such as an on-board camera. The vehicle control system is applied to a vehicle that can be operated autonomously. A controller communicates with a database stored on the controller and a database stored on an external facility. The controller changes orientation of a headlamp toward an object detected by an on-board camera, in a case that the headlamp is turned on, and that information about the object detected by the on-board camera is not available in the database.

Abstract: A recording control apparatus includes a video data acquisition unit configured to acquire video data obtained by shooting an area around a vehicle, an event detection unit configured to detect an occurrence of a predetermined event in the vehicle, a changing-point determination unit configured to determine whether or not the vehicle has passed a changing point on a traveling road based on a current position information of the vehicle, and a recording control unit configured to, when the event detection unit detects the occurrence of the event, record the video data including a first period as an event recording file in a recording unit, the first period being from a passing time point of the changing point to a detecting time point of the event, the changing point being a point that the vehicle has passed at least a first time earlier than the detecting time point of the event.

Abstract: Embodiments of the present disclosure disclose a method and apparatus for outputting information. A specific embodiment of the method includes: acquiring a driving video of a driving process of a vehicle shot within a preset time period, the driving video including at least one frame of driving image; selecting, from the driving video, a driving image including a face image area of a driver; extracting a facial feature of the driver from the driving image including the face image area of the driver; determining identity information of the driver based on the facial feature of the driver; and outputting the identity information of the driver. This embodiment can quickly determine the identity information of the driver.

Abstract: A method reminds a driver of a motor vehicle about an approach to a light signal apparatus. The method detects a plurality of light signal apparatuses, selects from the plurality of light signal apparatuses in order to select that one which is relevant to a direction of travel of the motor vehicle to determine an assignment of the detected light signal to the motor vehicle, and determines whether the detected light signal from the selected light signal apparatus is a stop light signal. The method generates a stop signal if a stop light signal is detected when the motor vehicle is at a standstill.

Abstract: A video analytic sensor system and methods for sensing an operating state of a railroad crossing gate processes images to detect and communicate railroad crossing gate position information to non-railroad systems such as vehicular traffic control systems. The sensor system may be retrofit to existing railroad crossing gates and does not require modification to or direct connection with existing railroad systems.

Abstract: A method and a device for detecting a road boundary are provided. The method includes: sending, at a current detection moment, multiple detection beams to a road where a target vehicle is located by using a detection device installed on the target vehicle; obtaining echo signals of the detection beams reflected by the road; determining target coordinates of detection points on the road corresponding to the detection beams in the same coordinate system based on the echo signals of the detection beams; and determining a road boundary on the road based on the target coordinates of the detection points.