Abstract: An apparatus includes a capture device and a processor. The capture device may be configured to generate pixel data corresponding to an exterior view from a vehicle. The processor may be configured to generate video frames from the pixel data, perform computer vision operations on the video frames to detect objects in the video frames and determine characteristics of the objects, analyze the characteristics with respect to the vehicle to determine visual indicators to predict an air quality and generate a control signal in response to an air quality value. The control signal may be configured to toggle an activation of an air recirculation feature of the vehicle when the air quality value reaches a threshold value. The visual indicators may be used to adjust the air quality value.

Abstract: Disclosed herein are an apparatus and method for compensating for a heading angle. The apparatus for compensating for a heading angle includes a compensation condition determination unit configured to determine whether a predetermined compensation condition is satisfied, to compensate for a heading angle of a camera, and a heading angle processing unit configured to compensate for the heading angle of the camera using a lane distance input from the camera, when it is determined by the compensation condition determination unit that the compensation condition is satisfied.

Abstract: In an approach for detecting vehicle identity and analyzing damage status using a single video, a processor provides an instruction for taking a video of a vehicle for a damage evaluation. A processor receives the video of the vehicle for the damage evaluation. A processor verifies the vehicle in the video being the same vehicle for the damage evaluation. A processor evaluates a damage status of the vehicle. A processor outputs a damage report based on the damage status of the vehicle.

Abstract: Systems and methods are described for searching media files using a set-top box (STB), a television receiver, digital video recorder (DVR), placeshifting device or other media device, or any type of network host that communicates with a media device of any sort. Search criteria is received from a user, and the search criteria is identified in listings of media programming available from one or more sources. In some implementations, a combined search result can be provided that identifies instances of the search criteria found in program guide listings, files stored on a digital video recorder (DVR), available on-demand content, or any other sources as desired. Some implementations may prioritize search results using information about files stored on a DVR, user preferences, or any other information as desired.

Abstract: The disclosed method is stored as computer readable instructions and carried out by a processor that is part of a disclosed occupant monitoring system (OMS). The method starts with the receipt of an external signal by the processor. The external signal can be the starting of the vehicle engine, an indication of semi-autonomous or autonomous driving mode, or an indication that the occupant is seated, is in contact with a steering wheel, and/or is in contact with at least one dashboard control. The receipt of the external signal causes the processor to capture an image, analyze the image to determine if at least one monitoring condition is met, generate an adjustment signal if the monitoring condition is not met, and communicate the adjustment signal to at least one VCS, and repeating the monitoring loop. In some implementations, multiple images are captured and analyzed during the cycling of a monitoring loop.

Abstract: A method of detecting traffic passing a camera overlooking a roadway. The method comprises receiving video frames by a traffic analytics engine from the camera, determining a mask that defines a lane detection region by the traffic analytics engine based on an assumed average length of a vehicle and based on analyzing lane boundary markers in the video frames; determining a background reference frame by the traffic analytics engine by applying the mask to the video frames and by averaging the pixels of the masked video frames; determining that at least some of the masked video frames differ from the background reference frame by more than a detection threshold; and incrementing a traffic count associated with the lane detection region stored in a memory of the computer system based on the masked video frames that differ from the background reference frame by more than the detection threshold.

Abstract: The present disclosure is enclosed in the area of validation of vehicles in road tolls, which may also be designated as tolling systems. The present disclosure includes an automated computational method for the determination of the validity of the passage of a vehicle in a toll which includes two detection modes of a vehicle, through optical means and a mobile device receiving a wireless beacon with unique information associated with the toll and subsequently in connection with a remote backend server. The wireless beacon is a simple type of message which does not require that the mobile device and a fixed wireless device establish a connection. Such feature is one particularly relevant in the applications of the present disclosure, as it highly improves the efficacy of the receipt of the unique information associated with the toll by the mobile device. The present disclosure further includes a corresponding system.

Abstract: A vehicle may include a camera configured to obtain an image of at least one surrounding vehicle; and a controller configured to determine object recognition data including at least one of full area data, wheel area data, and bumper area data of the surrounding vehicle from the image of the at least one surrounding vehicle, based on the object recognition data, to set a reference point in the at least one of the full area data, the wheel area data, and the bumper area data of the surrounding vehicle from the image of the surrounding vehicle, and to predict a driving speed of the surrounding vehicle based on a change in a position of the reference point.

Abstract: A method for identifying a cause of blockage in a sequence of images provided by a camera of a vehicle, the method comprising iteratively: S10) acquiring an image of the camera; successively acquired images forming a sequence of images; S20) detecting a blockage in last images of the sequence of images; S60) determining whether it is day-time or night-time based on time information; if it is determined that it is night-time: S82) determining whether toggling front light(s) of the vehicle on/off causes a change in images acquired by the camera; and S84) in this case, determining that for the current iteration, the cause of the blockage is presumably the road being dark. A computer program for performing said method, a computer-readable recording medium containing such computer program, a driving assistance system capable of executing said method.

Abstract: A driver login device includes: a network communication unit in communication with the server via a network; an image pickup device capturing a target to obtain a login data; an image processing unit electrically coupled to the image pickup unit, and receiving and processing the login data to obtain a digital data; and a central processing unit electrically coupled to the network communication unit, the image pickup device and the image processing unit. The central processing unit, by way of the network communication unit, receives the data of the driver from the server via the network, controls the image pickup device to capture the target, comparing the digital data with the data of the driver to generate a comparing result, and by way of the network communication unit, transmitting the comparing result back to the server via the network.

Abstract: A method and apparatus for processing image data is provided. The method includes the steps of employing a main processing network for classifying one or more features of the image data, employing a monitor processing network for determining one or more confusing classifications of the image data, and spawning a specialist processing network to process image data associated with the one or more confusing classifications.

Abstract: In a road parameter estimation apparatus, a marker-based estimator extracts, based on markers extracted by a marker extractor, at least one lane line that demarcates a road into plural regions in a width direction of the road, and estimates, based on the extracted at least one lane line, a value of at least one feature parameter of the road as a maker-based estimation result. The at least one feature parameter of the road represents at least one feature of the road. A model-based estimator estimates, based on the at least one model-based demarcation line, a value of the at least one feature parameter of the road parameter as a model-based estimation result. A determiner compares the at least one lane line with the model-based demarcation line to accordingly determine whether to use the marker-based estimation result or the model-based estimation result.

Abstract: A method for detecting a parallax problem in sensor data from two sensors spaced apart from each other and at least partly capturing the same environment, wherein at least one of the sensors provides distance information. The method includes obtaining the acquired sensor data from the sensors; assigning measured values in the acquired sensor data of one sensor to corresponding measured values in the acquired sensor data of the other sensor, wherein the assignment takes the respective imaging conditions of the two sensors into account; consecutively numbering the measured values in the sensor data; checking whether a sorting order of the numbering of the measured values that correspond to each other matches, a parallax problem being determined in response to a sorting order not matching; and outputting a test result. Also disclosed is an apparatus for detecting a parallax problem in sensor data from two sensors and a transportation vehicle.

Abstract: In implementations of search input generation for an image search, a computing device can capture image data of an environment scene that includes multiple objects. The computing device implements a search input module that can detect the multiple objects in the image data, and initiate a display of a selectable indication for each of the multiple objects. The search input module can then determine a subject object from the detected multiple objects, and generate the subject object as the search input for the image search.

Abstract: An electronic apparatus and method for assisting with driving of a vehicle are provided. The electronic apparatus includes: a processor configured to execute one or more instructions stored in a memory, to: obtain a surrounding image of the vehicle via at least one sensor, recognize an object from the obtained surrounding image, obtain three-dimensional (3D) coordinate information for the object by using the at least one sensor, determine a number of planar regions constituting the object, based on the 3D coordinate information corresponding to the object, determine whether the object is a real object, based on the number of planar regions constituting the object, and control a driving operation of the vehicle based on a result of the determining whether the object is the real object.

Abstract: Disclosed embodiments include apparatuses, systems, and methods for determining a field in a path of travel of a vehicle for detection of objects in the path of travel. In an illustrative embodiment, an apparatus includes a path identifier configured to identify a path of travel for a vehicle. At least one camera is disposed on the vehicle and is configured to capture image data of an area including the path of travel. A region of interest selector is configured to select a region of interest within the image data. A horizon identifier is configured to identify a horizon in the image data. A field determiner is configured to project the horizon onto the region of interest to isolate a field specified by the path of travel and the horizon, the field being evaluatable for the presence of objects in the path of travel of the vehicle.

Abstract: An image recording apparatus includes a recording control unit that records a captured image acquired by the camera image acquisition unit in an image file for each of front cameras, and the degree-of-importance determination unit that determines a degree of importance of each of the plurality of image files. The recording control unit continues to record the captured image in a first image file, and executes close processing on the first image file at a timing based on a recordable duration time during which the captured image is continuously recorded in the first image file as an image file having the highest degree of importance when an electric power supply from a main power unit is cut off and the electric power supply source is switched by an electric power supply source switching unit.

Abstract: A system is provided for use by athletes and their coaches during practice. The system includes an electronic system configured for inclusion in a helmet. The electronic system includes a transparent display screen coupled to the helmet, a processor coupled to the transparent display screen, a camera coupled to the processor and a first wireless transceiver coupled to the processor. The system also includes a handheld processing device. The handheld processing device includes a second wireless transceiver configured to communicate video content with the first wireless transceiver, an interactive display screen configured to display the first video and a video editing application configured to edit the first video to generate a second video including a simulated player technique superimposed in the first video. The second video is communicated from the handheld processing device to the electronic system for display to the athlete via the transparent display screen.

Abstract: Methods and systems for sharing image data between vehicles. The system includes an image sensor of a first vehicle configured to detect image data of an environment around the first vehicle as it traverses a road. The system also includes a transceiver of the first vehicle configured to communicate the detected image data. The system also includes a transceiver of a second vehicle configured to receive the detected image data. The system also includes a display screen of the second vehicle configured to display a view of the environment around the road based on the detected image data.

Abstract: The present disclosure relates to real-time localization error correction of an autonomous vehicle (AV). A processor for real-time localization error correction of the AV is provided. The processor is configured to retrieve a reference landmark around the AV from a map aggregating server (MAS), wherein the AV is configured to interact with the MAS for real-time localization; detect, in real time, a ground truth landmark corresponding to the reference landmark, according to image data captured by one or more image capture devices installed on the AV; and determine a deviation between the ground truth landmark and the reference landmark as a real-time correction value for the real-time localization of the AV.

Abstract: Systems, methods, and devices for detecting brake lights are disclosed herein. A system includes a mode component, a vehicle region component, and a classification component. The mode component is configured to select a night mode or day mode based on a pixel brightness in an image frame. The vehicle region component is configured to detect a region corresponding to a vehicle based on data from a range sensor when in a night mode or based on camera image data when in the day mode. The classification component is configured to classify a brake light of the vehicle as on or off based on image data in the region corresponding to the vehicle.

Abstract: ADAS includes a processing circuit and a memory which stores instructions executable by the processing circuit. The processing circuit executes the instructions to cause the ADAS to receive, from a vehicle that is in motion, a video sequence, generate a position image including at least one object included in the stereo image, generate a second position information associated with the at least one object based on reflected signals received from the vehicle, determine regions each including at least a portion of the at least one object as candidate bounding boxes based on the stereo image and the position image, and selectively adjusting class scores of respective ones of the candidate bounding boxes associated with the at least one object based on whether a respective first position information of the respective ones of the candidate bounding boxes matches the second position information.

Abstract: Aspects of the present disclosure relate to multi-spectrum visual object recognition. A first image corresponding to visible light and a second image corresponding to invisible light with respect to an object can be obtained. A first contour of the object can be identified based on the first image. A second contour of the object can be identified based on the second image. The first contour of the object and the second contour of the object can be integrated to generate a multi-spectrum contour of the object. The object can be recognized using the multi-spectrum contour of the object.

Abstract: Provided is a control apparatus for a vehicle configured to perform driving support control when a driving support operation state is an on state, the control apparatus being further configured to, in a case where the driving support operation state is the on state and a driving operation switching request for changing the driving support operation state to an off state is issued, calculate a target speed at a driving operation switching time point at which the driving support operation state is changed from the on state to the off state, and perform deceleration control for decelerating the vehicle such that a speed of the vehicle matches the target speed at the driving operation switching time point.

Abstract: Systems and methods for managing visual allocation are provided herein that use models to determine states based on visual data and, based thereon, output feedback based on the determined states. Visual data is initially obtained by a visual allocation management system. The visual data includes eye image sequences of a person in a particular state, such as engaging in a task or activity. Visual features can be identified from the visual data, such that glance information including direction and duration can be calculated. The visual data, information derived therefrom, and/or other contextual data is input into the models, which correspond to states, to calculate probabilities that the particular state that the person is engaged in is one of the modeled states. Based on the state identified as having the highest probability, an optimal feedback, such as a warning or instruction, can be output to a connected devices, systems, or objects.

Abstract: A user's emotion can be determined based on pupil dilation response to a challenge prompt. In response to an authentication request, a registered challenge prompt and an expected pupil dilation response can be retrieved. The challenge prompt can include one or more images or a video designed to cause a pupil dilation response in a user. The challenge prompt is displayed to the user and the user's pupil dilation response is captured. At least one user action of the user is monitored and an emotion is determined based on the at least one user action. The emotion is associated with the pupil dilation response.

Abstract: Methods for vehicle data collection by image analysis are provided. An example method involves positioning a camera in a vehicle to be pointed toward a field of interest in the vehicle, capturing an image of the field of interest with the camera, identifying a region of interest in the image that is expected to convey vehicle information, and running an image processing model over the region of interest to extract vehicle information from the image.

Abstract: Methods, systems, and computer readable mediums for determining a scene representation for a vehicle are provided. A disclosed method includes acquiring data from one or more sensors of the vehicle. The method further includes detecting, using processing circuitry, one or more objects in a surrounding of the vehicle based on the acquired data; determining whether an object of the detected one or more objects intersects with a vehicle lane of travel; determining whether the object is in a lane of travel of the vehicle; determining inter-vehicle gaps and cut-ins between the object and the vehicle; and rendering a scene representation including the inter-vehicle gaps and cut-ins between the object and the vehicle.

Abstract: Systems and methods are provided for navigating a host vehicle. In an embodiment, a processing device may be configured to receive a captured image acquired by a camera onboard the host vehicle; provide the captured image to an analysis module configured to generate an output including an indicator of a contact position of the occluded pedestrian with the ground surface, the analysis module including a trained model trained based a plurality of training images having been modified to occlude a region where a training pedestrian contacts a training ground surface; receive from the analysis module the generated output, including the indicator of the contact position of the occluded pedestrian with the ground surface; and cause at least one navigational action by the host vehicle based on the indicator of the contact position of the occluded pedestrian with the ground surface.

Abstract: A system and method is disclosed for capturing images of one or more moving vehicles (i.e., a target vehicle) from another moving vehicle (i.e., subject vehicle). The disclosed system dynamically adjusts illumination power, exposure times, and/or other settings to optimize image capture that takes into account distance and speed. By optimizing for distances and moving vehicles, the disclosed system improves the probability of capturing a legible, usable photographic image. In one example, the disclosed system may be incorporated into an asymmetric license plate reading (ALPR) system.

Abstract: An autonomous vehicle includes first and second road surface image obtaining devices that are located on a bottom surface of the vehicle body and obtain images of a road surface below the vehicle body, respectively. The autonomous vehicle also includes a memory unit that stores a map image of the road surface, the map image being associated with geographical location information. The autonomous vehicle further includes first and second self-location estimating units that each compare a feature extracted from the image of the road surface obtained by corresponding one of the first and second road surface image obtaining devices with a feature extracted from the map image, thereby estimating a self-location of the autonomous vehicle.

Abstract: An autonomous vehicle system removes ephemeral points from lidar samples. The system receives a plurality of light detection and ranging (lidar) samples captured by a lidar sensor. Along with the lidar samples, the system receives an aligned pose and an unwinding transform for each of the lidar samples. The system determines one or more occupied voxel cells in a three-dimensional (3D) space using the lidar samples, their aligned poses, and their unwinding transforms. The system identifies occupied voxel cells representative of noise associated with motion of an object relative to the lidar sensor. The system filters the occupied voxel cells by removing the cells representative of noise. The system inputs the filtered occupied voxel cells in a 3D map comprising voxel cells, e.g., during the map generation and/or a map update.

Abstract: Aspects of the disclosure relate to detecting an emergency vehicle. For instance, a plurality of images may be taken from a perspective of an autonomous vehicle. One or more gates representing a region of interest at a respective distance from the vehicle may be generated for the images. A plurality of lights may be detected within the one or more gates. A first candidate emergency vehicle may be identified from a detected plurality of lights in one or more gates of one of the images, and a second candidate emergency vehicle may be identified from a detected plurality of lights in one or more gates of another of the images. The first and second candidate emergency vehicles are determined to be the same emergency vehicle and to be active. An operational system of the autonomous vehicle is controlled based on the determination that the given emergency vehicle is active.

Abstract: An autonomous driving control system and a method thereof are provided. The autonomous driving control system includes a strategy performing device that generates and performs a stop strategy of a vehicle on the basis of a target stop location, when a critical situation occurs during autonomous driving, a behavior controller that controls a behavior of the vehicle depending on the stop strategy, and an emergency module controller that runs a predetermined emergency module, when the critical situation occurs.

Abstract: A system and method are provided, wherein the system includes a traffic control signal, a wireless interface, a mast, a support base, a wireless control device, and a base station for communicating between the wireless interface and the wireless control device. The method involves receiving input from the wireless control device, generating a control signal for operating the traffic control signals, and transmitting the control signal to the traffic control signals.

Abstract: A vehicle cleaner system includes: a cleaner unit configured to be mounted on a vehicle and to discharge a cleaning medium to an external sensor that acquires information outside the vehicle so as to clean the external sensor; and a cleaner control unit configured to control the cleaner unit. The cleaner control unit is configured to acquire weather information, and control the cleaner unit such that at least one of a type of the cleaning medium, a discharge amount of the cleaning medium, the number of times of discharge of the cleaning medium, the number of times of discharge of the cleaning medium per unit time, and a discharge time of the cleaning medium varies according to the weather information.

Abstract: A mobile device configured to perform gesture recognition for a vehicle information and/or entertainment system comprises a depth camera; an orientation sensor; and a processor configured to detect one or more gestures from images captured by the depth camera according to a gesture detection algorithm; in which the processor is configured to vary the gesture detection algorithm in dependence upon an orientation of the mobile device detected by the orientation sensor.

Abstract: Disclosed herein is a handheld speed gun incorporating automatic number plate recognition (ANPR) functionality. As the image size of a vehicle license plate varies depending on its distance from the speed gun, in the present invention the distance to the target vehicle is known through the functionality of the laser sensor so the size of the pixels for the number plate can be estimated. Since the image of the number plate may be tilted in a handheld device, the present invention compensates for this by use of the instrument's tilt sensor or through other compensation by use of the image itself.

Abstract: A method and apparatus for determining a part for a vehicle. The vehicle's vehicle identification number is determined, and the vehicle's manufacture information is determined. A specific part for the particular vehicle is identified. Whether a part code zone for the part exists on a vehicle identification label (VIN Label) is determined. If the part code zone exists on the VIN Label, then a zonal optical character recognition procedure is performed on the VIN Label and a part code in the part code zone is extracted. Or if the part code zone does not exist on the VIN Label, then a list of parts for the vehicle is determined based on the vehicle's manufacture information and the part is selected from the list of parts.

Abstract: The invention relates to a method for supporting an advanced driver assistance system in a motor vehicle, comprising the following steps: providing a map, wherein categorized objects are stored in associated positions in the map, capturing environment data using at least one environment sensor system of the advanced driver assistance system, analyzing the captured environment data using an analysis apparatus of the advanced driver assistance system, wherein the captured environment data are analyzed for object recognition according to the categorized objects stored in the map. Furthermore, the invention relates to an associated device.

Abstract: An ego vehicle includes decider modules and a grader module coupled to a resolver module. The decider modules generate trajectory decisions at a current time, generate a current two-dimensional slice of a flat space around the ego vehicle, generate future two-dimensional slices of the flat space by projecting the current two-dimensional slice of the flat space forward in time, and generate a three-dimensional state space by stacking the current two-dimensional slice and the future two-dimensional slices. The grader module generates rewards for the trajectory decisions based on a recent behavior of an ego vehicle. The resolver module selects a final trajectory decision for the ego vehicle from the trajectory decisions based on the three-dimensional state space and the rewards. The current two-dimensional slice includes a current ego vehicle location and current neighboring vehicle locations. The future two-dimensional slices include future ego vehicle locations and future neighboring vehicle locations.

Abstract: A driver monitoring system includes at least two cameras configured to record images of a driver within a cabin of a vehicle. A first camera is disposed on a driver side of the cabin and a second camera is disposed on a passenger side of the cabin. At least one of the at least two cameras is disposed in a mirror replacement display or in a mirror replacement display location. A controller is in communication with the at least two cameras and is configured to determine a pose of the driver based on images from the at least two cameras. At least one of the images originates from at least one of the first camera and the second camera.

Abstract: The present disclosure provides a target tracking method to be executed by a computing device, including: generating an optical flow image in accordance with a series of event data from a dynamic vision sensor, each event being triggered by movement of a target object relative to the dynamic vision sensor; determining a movement speed and a movement direction of at least one target object in a current image frame in accordance with the optical flow image; predicting a position of a corresponding target object in a next image frame in accordance with the movement direction and the movement speed; and when a predicted position is within a range of a field of view, taking the corresponding target object as a to-be-tracked target. The present disclosure further provides a computing device.

Abstract: A method, apparatus, and computer program product are provided for identifying on-street parking from aerial imagery. A method may include: receiving an aerial image of a geographic region; applying an object detection algorithm to the received aerial image to identify vehicle objects within the aerial image; identifying one or more clusters of vehicle objects within the aerial image; generating cluster lines for the one or more clusters of vehicle objects; map matching the cluster lines for the one or more clusters of vehicle objects to a map of the geographic region; and identifying on-street parking for a road segment in response to a cluster line of the cluster lines for the one or more clusters of vehicle objects satisfying predetermined criteria with respect to the road segment.

Abstract: Embodiments include systems and methods executed by a processor of a vehicle for presenting relevant warnings to a vehicle operator, including receiving a vehicle-to-everything (V2X) communication including information regarding a V2X-identified threat, determining whether the vehicle operator has not recognized the V2X-identified threat, determining a display location that is most likely to receive the vehicle operator's attention in response to determining that the vehicle operator has not recognized the V2X-identified threat, and generating an alert regarding the V2X-identified threat on the determined display location. The generated alert regarding the V2X-identified threat on the determined display location may exclude alerts regarding any threat conditions that the processor has determined that the vehicle operator has recognized.

Abstract: An apparatus for recognizing a face is provided. The apparatus includes a camera configured to obtain a partial-face image of a passenger, and a controller configured to learn a boarding condition of a user and recognize the user based on the partial-face image of the passenger when a current boarding condition of the passenger satisfies the learned boarding condition.

Abstract: A method for matching a reference object and a test object includes providing a test object in a field of sensing of at least one sensor disposed at a vehicle. A volume match is determined based on a volume of the reference object and a volume of the test object. A distance match is determined based on a center and orientation of the reference object and a center and orientation of the test object. An angle match is determined based on a yaw angle of the reference object and a yaw angle of the test object. A superposition of the volume match, the distance match, and the angle match is determined based on a multiplication of the volume match, the distance match, and the angle match. A degree of matching of the reference object and the test object is determined based on the superposition.

Abstract: A laser radar device includes a laser radar optical system that emits laser light and receives reflected light of the laser light reflected from a reflector disposed outside the laser radar device. A controller determines that it is rainy weather when a measurement width of the reflector in a scanning direction of the laser light measured by use of the laser light and the reflected light is larger than a predetermined reference measurement width of the reflector.

Abstract: This disclosure describes techniques to detect an object. The techniques include operations comprising: receiving an image captured by overhead camera; identifying a region of interest (ROI) of a plurality of regions within the image; selecting an object classifier from a plurality of object classifiers based on a position of the identified ROI relative to the overhead camera; and applying the selected object classifier to the identified ROI; and detecting presence of the object within the ROI in response to applying the selected object classifier to the identified ROI.

Abstract: The present invention relates to the determination of damage to portions of a vehicle. More particularly, the present invention relates to determining whether each part of a vehicle should be classified as damaged or undamaged and optionally the severity of the damage to each part of the damaged vehicle. Aspects and/or embodiments seek to provide a computer-implemented method for determining damage states of each part of a damaged vehicle, indicating whether each part of the vehicle is damaged or undamaged and optionally the severity of the damage to each part of the damaged vehicle, using images of the damage to the vehicle and trained models to assess the damage indicated in the images of the damaged vehicle.