Abstract: A road information detection method is applied to automatic driving or intelligent driving and includes receiving a front-looking image from at least one front-looking camera apparatus; receiving a rear-looking image from at least one rear-looking camera apparatus; obtaining front-looking lane line information based on the front-looking image; obtaining rear-looking lane line information based on the rear-looking image; and obtaining target lane line information based on the front-looking lane line information and the rear-looking lane line information.

Abstract: A method for masking of objects in a video stream, the method comprising: acquiring a video stream; detecting an object in the video stream; determining whether the detected object belongs to a foreground of the video stream indicative of moving objects or to a background of the video stream indicative of static objects; classifying the detected object to be of a specific type using a first classifier if the detected object is determined to belong to the foreground, and using a second classifier if the detected object is determined to belong to the background, the first classifier being different from the second classifier, and if the detected object is classified as being of the specific type of object, masking the object in the video stream.

Abstract: Various aspects of a system and method for driving assistance along a path are disclosed herein. In accordance with an embodiment, a unique identifier is received from a communication device at an electronic control unit (ECU) of a first vehicle. The unique identifier is received when the first vehicle has reached a first location along a first portion of the path. A communication channel is established between the first vehicle and the communication device based on the received unique identifier. Data associated with a second portion of the path is received by the ECU from the communication device based on the established communication channel. Alert information associated with the second portion of the path is generated by the ECU based on the received data.

Abstract: Systems and methods for navigating an aerial vehicle are provided. One example aspect of the present disclosure is directed to a method for navigating an aircraft. The method includes receiving, by one or more processors, one or more first geographic coordinates via an interface configured to receive geographic coordinates from a satellite transmission. The method includes receiving, by the one or more processors, one or more second geographic coordinates via an interface configured to receive geographic coordinates from a ground transmission. The method includes determining, by the one or more processors, that the one or more first geographic coordinates and the one or more second geographic coordinates are inconsistent. The method includes updating, by the one or more processors, a flight plan using the one or more second geographic coordinates when the one or more first geographic coordinates are inconsistent with the one or more second geographic coordinates.

Abstract: To make it easier for an operator to notice an object in the surroundings of a construction machine. A safety monitoring system includes a detection device, a display unit, and a control unit. The detection device detects an object in the surroundings of the work vehicle. The display unit displays a captured image of the surroundings of the work vehicle. The control unit controls the detection device and the display unit. If the detection device detects an object, the control unit controls the display unit to display an image with a defined edge obtained by applying an edge-defining process to the image of the surroundings.

Abstract: The present invention relates to a cloud-based roadway equipment management platform that mainly provides return data of roadway equipment for all roadway equipment, such as vehicle detector (VD), changeable message sign (CMS), automatic vehicle identification (AVI), traffic signal controller (TC), closed circuit television (CCTV) monitor, electronic tag (e-Tag) and more, within a specific area through a plurality of router monitoring data device installed in the equipment side as the communication equipment; receives and records return data of roadway equipment by a management platform that is cloud-based and composed of a plurality of servers with a user interface. The present invention can monitor, record, and inquire the roadway equipment, enhance the availability of devices, and help the traffic control center side on monitoring and managing equipment vendors, including clarifying responsibility thereof.

Abstract: A vehicle control device, a vehicle control method, a vehicle motion control system, and a lane estimation device according to the present invention obtain first information on lane markings defining a lane in which a vehicle travels based on external information obtained from an external recognition unit, obtain second information on a curvature of the lane based on information on a road shape obtained from a road shape information acquisition unit, obtain third information on a behavior of the vehicle based on a physical quantity that is related to a motion state of the vehicle and obtained from a vehicle motion state detection unit, and estimate lane information including information on curvatures of the lane markings and information on relative positions of the vehicle with respect to the lane markings based on the first information, the second information, and the third information.

Abstract: Automated gate entry/exit authorization systems and methods may comprise various sensor systems to detect a vehicle proximate a gate of a facility. Various detected data of the vehicle may be consolidated into a gate sensor event, and the gate sensor event may be compared with pre-registration information to determine whether the vehicle is scheduled to depart or arrive via the gate. If the gate sensor event corresponds with a scheduled appointment, further instructions may be provided to the vehicle related to the facility or yard, and the gate may be automatically opened to provide access. Alternatively, if the gate sensor event does not correspond with a scheduled appointment, further information or instructions, such as corrective or remedial actions, may be provided to the vehicle, and access via the gate may be automatically denied.

Abstract: A detection device, which detects a target behavior that is a vehicle behavior subjected to detection in a preset detection area using a laser radar that generates point cloud information by irradiating the detection area with laser light and receiving reflected light resulting from the irradiation with the laser light, includes an acquisition unit configured to acquire the point cloud information, a vehicle detection unit configured to detect a vehicle on the basis of the point cloud information, and a behavior detection unit configured to detect the target behavior on the basis of a direction of movement and an amount of movement per unit time of the vehicle detected by the vehicle detection unit.

Abstract: The present disclosure provides systems and methods that use and/or generate image files according to a novel microvideo image format. For example, a microvideo can be a file that contains both a still image and a brief video. The microvideo can include multiple tracks, such as, for example, a separate video track, audio track, and/or one or more metadata tracks. As one example track, the microvideo can include a motion data track that stores motion data that can be used (e.g., at file runtime) to stabilize the video frames. A microvideo generation system included in an image capture device can determine a trimming of the video on-the-fly as the image capture device captures the microvideo.

Abstract: Systems and methods are disclosed for locating a retroreflective object in a digital image and/or identifying a feature of the retroreflective object in the digital image. In certain environmental conditions, e.g. on a sunny day, or when the retroreflective material is damaged or soiled, it may be more challenging to locate the retroreflective object in the digital image and/or to identify a feature of the object in the digital image. The systems and methods disclosed herein may be particularly suited for object location and/or feature identification in situations in which there is a strong source of ambient light (e.g. on a sunny day) and/or when the retroreflective material on the object is damaged or soiled.

Abstract: A system including at least one aerially mounted camera and at least one processor performs a method for selecting a location to place a virtual tripwire onto grid points of a geocoordinate grid. The processor(s) directs a camera to capture a series of images within the camera's field of view. The processor(s) identifies one or more objects of interest within the images and determines movements of the objects through the series of images. The processor(s) identifies directions of travel of the objects of interest. The processor(s) further determines a vector of direction of travel for each object of interest on the grid. The processor(s) then determines at least one candidate location for placement of the virtual tripwire and automatically selects a location for placement of the virtual tripwire based at least on the vector of direction of travel for an object of interest.

Abstract: Disclosed herein is a web-based videoconference system that allows for video avatars to navigate within the virtual environment. The system has a presented mode that allows for a presentation stream to be texture mapped to a presenter screen situated within the virtual environment. The relative left-right sound is adjusted to provide sense of an avatar's position in a virtual space. The sound is further adjusted based on the area where the avatar is located and where the virtual camera is located. Video stream quality is adjusted based on relative position in a virtual space. Three-dimensional modeling is available inside the virtual video conferencing environment.

Abstract: The present disclosure may provide a system. The system may obtain at least one pair of images from at least one pair of capture devices. Each of the at least one pair of capture devices may include a first capture device and a second capture device, and each of the at least one pair of images may include a first image captured by the first capture device and a second image captured by the second capture device. The system may determine first identification information of at least one first object in the first image and determine second identification information of at least one second object in the second image. Further, the system may determine at least one information pair by correlating at least a part of the first identification information and at least a part of the second identification information.

Abstract: Systems and methods for implementing one or more autonomous features for autonomous and semi-autonomous control of one or more vehicles are provided. More specifically, image data may be obtained from an image acquisition device and processed utilizing one or more machine learning models to identify, track, and extract one or more features of the image utilized in decision making processes for providing steering angle and/or acceleration/deceleration input to one or more vehicle controllers. In some instances, techniques may be employed such that the autonomous and semi-autonomous control of a vehicle may change between vehicle follow and lane follow modes. In some instances, at least a portion of the machine learning model may be updated based on one or more conditions.

Abstract: An image pickup apparatus includes a window portion, an image pickup unit configured to photoelectrically convert an optical image obtained via the window portion, a heating unit, and a movable portion configured to move the heating unit to a first position and a second position. At the first position, the heating unit does not contact the window portion. At the second position, the heating unit contacts the window portion.

Abstract: A vehicle control device is configured to: execute vehicle speed maintaining control for causing the vehicle speed to coincide with a set vehicle speed; start first control, for causing the acceleration to coincide with target acceleration for keeping maintaining acceleration no higher than limit acceleration, or second control, for controlling the acceleration such that the vehicle speed is kept no higher than a limit vehicle speed lower than the set vehicle speed, as limit control when a traffic signal correlated distance correlated with a traffic signal distance to a stop instructing traffic signal is determined to become a first threshold or less during execution of the vehicle speed maintaining control; and suspend the vehicle speed maintaining control and the limit control when a driver operates a deceleration operator during execution of the limit control.

Abstract: A traffic sensor includes an imaging unit that generates a recognition record by image recognition processing a captured image of a vehicle. The recognition record includes personal-identification data useable to identify the vehicle owner, and additional data not useable to identify the vehicle owner. The traffic sensor also includes an obfuscation unit that generates an obfuscated record from the recognition record by converting the personal-identification data into a unique-identifier. The obfuscated record includes the unique-identifier and the additional data. The traffic sensor further includes a transceiver configured to transmit the obfuscated record to a first off-site server without transmitting the recognition record to the first off-site server.

Abstract: There is provided a recognition system adaptable to a portable device or a wearable device. The recognition system senses a body heat using a thermal sensor, and performs functions such as the living body recognition, image denoising and body temperature prompting according to detected results.

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

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: 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: A safe driving support apparatus may include: an emotion index detection unit configured to detect an emotion index of a driver or passenger, using one or more of vision, voice and behavior of the driver or passenger; a driver risk index detection unit configured to detect a driver risk index using ego vehicle driving information and surrounding environment information of an ego vehicle; a driving difficulty level detection unit configured to detect a driving difficult level depending on a driving position of the ego vehicle; a vehicle driving unit configured to control autonomous driving of the ego vehicle; and a control unit configured to control the vehicle driving unit to drive the ego vehicle to a safe area, according to whether the emotion index, the driver risk index and the driving difficulty level are included in a preset safety area.