Abstract: An apparatus for controlling autonomous driving of a vehicle includes a processor to control autonomous driving, and a storage to store data and an algorithm to control the autonomous driving. The processor determines whether a target vehicle in front of a host vehicle in a travelling lane of the host vehicle is stopped, and performs a passing control when the target vehicle is stopped.

Abstract: A method for detecting boundaries of lanes on a road is presented. The method comprises receiving, by one or more processors from an imaging system, a set of pixels associated with lane markings. The method further includes partitioning, by the one or more processors, the set of pixels into a plurality of groups. Each of the plurality of groups is associated with one or more control points. The method further includes generating, by the one or more processors, a spline that traverses the control points of the plurality of groups. The spline traversing the control points describes a boundary of a lane.

Abstract: A method and device is provided for detecting a state change in an environment around a vehicle, and providing a notification in response to detecting a state change, wherein the detection involves determining a portion of the environment to capture, capturing a portion of the environment, detecting a state change in the captured portion, and the production of a notification in response to the change in the captured environment. Certain embodiments include traffic signal detection, vehicle detection, vehicle speed detection, and user adjustment of the detection.

Abstract: A lane departure warning system which uses at least one detection device, such as a stereo camera, to map the surrounding environment in three-dimensions, which provides for a determination of the distance of various objects in a given image obtained by the camera. With the information obtained by the camera, or cameras, additional data, such as the color of each pixel in an image, it is possible to identify which pixels in the image correspond to the road. Once the pixels that correspond to the road are identified, the width of the road is determined, as well as the position of the vehicle on the road. With the width of the road being known, the road is “virtually” divided into virtual lanes, and it is determined which of the virtual lanes the vehicle is travelling, and the vehicle is monitored to ensure that the vehicle remains within one of the virtual lanes.

Abstract: The present disclosure is directed to apparatuses, systems and methods for automatically classifying images of occupants inside a vehicle. More particularly, the present disclosure is directed to apparatuses, systems and methods for automatically classifying images of occupants inside a vehicle by comparing current image feature data to previously classified image features.

Abstract: Included are: a video data acquiring unit configured to acquire video data acquired by a plurality of image capturing units that capture images of surroundings of a vehicle; an event detector configured to detect an event concerning the vehicle; a parking detector configured to detect whether the vehicle is in a parked state; an object detector configured to detect a surrounding object present at a distance less than a certain distance from the vehicle while the vehicle is parked, and a recording function controller configured to, when the object detector detects a surrounding object present at a distance less than the certain distance from the vehicle while the vehicle is parked, perform recording due to the event detected by the event detector, using video data captured by a camera.

Abstract: A system and method for classifying driving behavior. The method includes training, via a supervised machine learning process, a classifier using a labeled training data set including at least one set of training features and corresponding training labels, wherein the classifier is trained to classify driving behavior, wherein the training features include training vehicle telemetries, wherein the training labels include at least one of driver labels and vehicle labels; and applying the classifier to an application data set including a plurality of application features to output a classification of driving behavior based on the application features, wherein the application features are extracted from application data including application vehicle telemetries for a vehicle.

Abstract: An integrated housing assembly can be mounted on a roof of a vehicle, such as a semi-trailer truck. The integrated housing assembly includes a main enclosure that includes four sides, a top panel, and a bottom panel. One of the four sides is a front panel that is inclined towards the ground. The main enclosure includes one or more cavities. A front panel of the integrated housing assembly includes one or more openings to allow cameras or sensors to be placed within the one or more cavities and behind the one or more opening. The cameras or sensors cameras can be clamped at a downward angle within multiple lock apparatus. The angled front panel and the inclined cameras or sensors within the lock apparatus allow the cameras or sensors to obtain images or sensor data from one or more regions of interest at some distance from the front of the vehicle.

Abstract: Disclosed are systems and methods for detecting traffic violations using one or more mobile detection devices. Videos captured by one or more mobile detection devices can be processed on the mobile detection devices to extract data and information concerning a potential traffic violation involving a vehicle and a restricted road area. The mobile detection devices can transmit such data and information to a server configured to make a determination as to whether a traffic violation has occurred by comparing the data and information received from the mobile detection devices.

Abstract: An image processing device, including an image generation circuit and a multifocal length processing circuit, is provided. The image generation circuit generates multiple depth plane images with depth information and multiple corresponding zoom control information, and merges the multiple depth plane images and the multiple zoom control information according to an arrangement rule, to be a merged image data. The multifocal length processing circuit is configured to decompose the merged image data to restore the multiple depth plane images and the corresponding multiple zoom control information according to the arrangement rule, and to determine a time at which the restored multiple depth plane images are transmitted to a display device and a time at which the restored multiple zoom control information are transmitted to a zoom lens according to a frame rate of the display device. The disclosure also provides an image processing method and a 3D image generation system.

Abstract: A vehicular camera includes a front housing portion, a first circuit board having an imager, a second circuit board in board-to-board electrical connection with the first circuit board, and a rear housing portion having a connector for electrically connecting to an electrical connection of a wire harness of a vehicle. The rear housing portion when joined with the front housing portion forms a camera housing. The connector of the rear housing portion includes a multi-pin connector having at least three terminals that, with the rear housing portion joined with the front housing portion, electrically connect to respective terminals of the electrical connector at the second circuit board. The connector includes an electrically conductive metallic clamping element that engages a metallic shield element at the electrical connector at the second circuit board to establish a ground path from the connector of the rear housing portion to the second circuit board.

Abstract: Disclosed herein are systems, methods, and devices for detecting traffic lane violations. In one embodiment, a method for detecting a potential traffic violation is disclosed comprising bounding a vehicle detected from one or more video frames of a video in a vehicle bounding box. The vehicle can be detected and bounded using a first convolutional neural network. The method can also comprise bounding, using the one or more processors of the edge device, a plurality of lanes of a roadway detected from the one or more video frames in a plurality of polygons. The plurality of lanes can be detected and bounded using multiple heads of a multi-headed second convolutional neural network. The method can further comprise detecting a potential traffic violation based in part on an overlap of at least part of the vehicle bounding box and at least part of one of the polygons.

Abstract: In one aspect, a method provides a display device. The method senses the presence of the user or scene change within the field of view of the system's image sensor with a built-in image signal processor. The method automatically and concurrently powers on the image sensor. The method lights one or more lights around the display device in response to sense the presence of the user or scene change. The method captures one or more frames of images of a user or scene change with the image sensor. Each frame includes an M by N array of pixel data. The M by N array of pixel data comprises a data structure consisting of a collection of pixel elements enumerated as pixel P11 to pixel Pm1. The method stores the M by N array of pixel data as a frame of data written into a frame buffer memory of the display device.

Abstract: The method for dirty camera detection including: detecting a first predetermined state change event; sampling a set of cavity measurements; optionally determining a set of features of the set of cavity measurements; determining a class label based on the cavity measurements; optionally verifying the classification; and facilitating use of the appliance based on the classification.

Abstract: An embedded multiprocessor system is provided that includes a multiprocessor system on a chip (SOC), a memory coupled to the multiprocessor SOC, the memory storing application software partitioned into an initial boot stage and at least one additional boot stage, and a secondary boot loader configured to boot load the initial boot stage on at least one processor of the multiprocessor SOC, wherein the initial boot stage begins executing and flow of data from the initial boot stage to the at least one additional boot stage is disabled, wherein the application software is configured to boot load a second boot stage of the at least one additional boot stage on at least one other processor of the multiprocessor SOC and to enable flow of data between the initial boot stage and the second boot stage.

Abstract: A vehicular system includes a first in-vehicle sensor having a first cleaning target surface which is provided on a design part forming an appearance of a vehicle and arranged so as to face an exterior of the vehicle. The first cleaning target surface is arranged at an inner side of the vehicle than an immediate upper portion of the first cleaning target surface. The immediate upper portion is constituted by a protrusion provided in a rear bumper.

Abstract: Provided is a mobile terminal characterized by comprising: a display unit which outputs visual information; a depth camera which captures a subject and acquires a depth image; a memory which stores a vein pattern of a user's hand; and a control unit connected to the display unit, the depth camera, and the memory. The control unit identifies the shape of the user's hand from the depth image, authenticates the user using a pre-stored user vein pattern, and when the user is authenticated, executes a specific application in response to a three-dimensional gesture of the user's hand, and omits an authentication procedure required by the specific application.

Abstract: A hub rotation imaging control system, includes a power management unit, which can output required direct current for other units; a parameter monitoring unit, which can monitor surrounding environment data of the hub and vehicle driving data; a main control management unit, which can receive the environment data and vehicle driving data monitored by the parameter monitoring unit, and generate video data and control instructions according to the environment data and vehicle driving data; and a data processing unit, which can receive the video data and control instructions generated by the main control management unit, and output drive signals to drive hub imaging.

Abstract: Using a read sensor to sense wrong-way driving. A method may include sensing, by a rear sensor of a vehicle, an environment of the vehicle to provide rear sensed information; processing the rear sensed information to provide at least one rear-sensed vehicle progress direction indications; generating or receiving at least one front-sensed vehicle progress direction indications; wherein the at least one front-sensed vehicle progress direction indications is generated by processing front-sensed information acquired during right-way progress; comparing at least one rear-sensed vehicle progress direction indications to the at least one front-sensed vehicle progress direction indications to determine whether the vehicle is wrong-way driving; and responding to the finding of the wrong-way driving.

Abstract: The present teaching relates to method, system, and implementations for glare control. A sensor housing assembly is provided on an autonomous vehicle to house at least one sensor therein and protect the at least one sensor from negative impact from an environment including glare from the environment that prevents the at least one sensor from capturing accurate information regarding a field of view with respect to the environment to facilitate autonomous driving of the autonomous vehicle. The negative impact on the at least one sensor is determined by a controller, which then activates a glare blocking mechanism in response to the determined negative impact. The glare blocking mechanism being mounted on the sensor housing assembly and configured to assist in blocking glare with respect to the at least one sensor.

Abstract: A vehicular driver monitoring system includes an electronic control unit (ECU), memory that stores driver information, and a driver monitoring camera viewing a head of a driver present in the vehicle. When the driver is present in the vehicle, and via processing at the ECU of image data captured by the driver monitoring camera and provided to the ECU, the system recognizes the driver present in the vehicle as being one of the at least one potential driver of the vehicle having driver information stored in the memory, and the vehicular driver monitoring system accesses the driver information that is associated with the driver. Responsive to determination by the vehicular driver monitoring system that a geographical location of the accessed stored driver information corresponds to a current geographical location of the vehicle, the system generates an output for the driver that corresponds to the current geographical location of the vehicle.

Abstract: A vehicle camera washing system includes a controller configured to control a pump and valve according to a selected mode of operation and a detected blockage of the lens. The selected mode of operation tailors operation of the camera washing system to current vehicle operating conditions to conserve washing fluid.

Abstract: An imaging apparatus' parts are provided with an outer frame member, an enclosure section shielding body accommodated by the outer frame member and accommodating and achieving electrically continuous connection with an imaging part, a connection that connects a metal shield of a relay connector to the imaging apparatus by contacting with an interior of the enclosure section shielding body, a barrier wall between the relay connector and the enclosure section shielding body, and a connector terminal. The connector terminal includes an internal contact section exposed to an interior of the enclosure section shielding body, and an external contact section exposed to an interior of the connector. The enclosure section shielding body is formed of a box-shaped metal shell accommodating the internal contact section in the interior. The connector has a connector section shielding body formed of a tubular metal shell accommodating the external contact section in the interior.

Abstract: Virtual bumpers for autonomous vehicles improve effectiveness and safety as such vehicles are operated. One or more sensor systems having a Lidar sensor and a camera sensor determine proximity of objects around the vehicle and facilitate identification of the environment around the vehicle. The sensor systems are placed at various locations around the vehicle. The vehicle identifies an object and one or more properties of the identified object using the sensor systems. Based on the identified object and the properties of the object, a virtual bumper may be created for that object. For example, if the object is identified as another vehicle moving with a certain velocity, the vehicle may determine a minimum space to avoid the other vehicle, either by changing direction or reducing the velocity of the vehicle, with the minimum space constituting a virtual bumper.

Abstract: An apparatus and method for recognizing a driving lane of a vehicle are provided. The apparatus includes an information acquisition device that acquires forward information of a road on which the vehicle is driving, and a processor that recognizes an entrance section and an exit section on a front left side of the vehicle based on the forward information, and determines a driving lane of the vehicle by correcting a number of lanes of the road in the entrance section and the exit section.

Abstract: A mobility controlling method and apparatus based on error monitoring are provided. The mobility controlling method includes: collecting an Event-Related Potential (ERP) for at least one passenger in a mobility for a predetermined time, determining an error factor by analyzing the ERP that is collected for the predetermined time, and performing mobility feedback based on the error factor.

Abstract: A method of detecting L-shaped target objects within a point cloud includes rotating a target point cloud through a plurality of rotation angles and generating at least one weighted histogram for each of the plurality of rotation angles, wherein the weighted histogram includes a first plurality of bins, each bin having a width defined in a first axis, wherein each bin is weighted based on a number of points located within the bin and a distance between points in a direction perpendicular to a width of the bin. A score is generated for each of the plurality of rotation angles based on the at least one weighted histogram and determining whether a target point cloud is L-shaped based on the generated scores.

Abstract: Disclosed are a method and a system for enhancing an image captured by an on-board camera, and a computing device. The method includes: acquiring a plurality of first original image captured by a camera of the sampling vehicle; when a discriminative model in a generative adversarial networks (GAN) model determines that a quality of an output image of a generative model is poorer than an expected quality, training the generative model by using the first original images to obtain an image enhancement model; and enhancing a second original image captured by an on-board camera of a running vehicle by using the image enhancement model to acquire an enhanced image.

Abstract: A camera mirror system for a vehicle includes, among other things, a camera that has a field of view, a display in communication with the camera that is configured to depict the field of view, and an infrared light-emitting diode (IR LED) that is configured to illuminate the field of view. The IR LED is configured to operate at a temperature. The system further includes a controller that is configured to provide at least one of a warning or an IR LED shut down command in response to the temperature exceeding a threshold.

Abstract: A work vehicle periphery monitoring system includes: an alarm range storage unit that stores an alarm range, in which an alarm output is required when an object is present, in a detection range of an object detection device that detects an object present in a periphery of a work vehicle; a work mode determination unit that determines a work mode of the work vehicle; an alarm range changing unit that changes the alarm range in the detection range when it is determined that the work mode is a specific work mode; and an alarm control unit that causes an alarm device to output an alarm when an object is present in the alarm range.

Abstract: A vehicle front structure which includes a bracket and a washer. The bracket is disposed between a part of a back surface of a license plate and a front grille. The bracket fastens the license plate to the front grille. The washer moves forward on the back side of the license plate in an area without the bracket in order to clean a sensing surface of a sensor which monitors the front of the vehicle. The bracket includes one or more of supporting portions which protrude on the washer side and support the license plate from the back side of the license plate.

Abstract: An image processor includes a line extraction portion configured to extract a line from an image generated from a vehicle surrounding image captured at a predetermined timing, a tracking determination portion configured to determine whether the extracted line fulfills a predetermined condition or not, a comparing portion configured to compare the line that is determined as fulfilling the predetermined condition with a line that is extracted by the line extraction portion from another image generated from another vehicle surrounding image captured at a predetermined timing in the past to obtain degrees of similarity and coincidence thereof, a parking area line determination portion configured to determine the line as a parking area line when the degrees of similarity and coincidence are equal to or more than a given value, and a parking frame setting portion configured to set a parking frame using the line determined as the parking area line.

Abstract: A computer includes a processor and a memory storing instructions executable by the processor to receive optical data from an optical sensor of a vehicle, adjust the optical data using an adjustment model, measure a first value from the optical data over a duration, predict a second value from the optical data over the duration based on the first value, measure the second value from the optical data over the duration, and modify the adjustment model using the predicted second value and the measured second value. The first value and the second value are time-varying and aggregated from the optical data per time step.

Abstract: A work vehicle periphery monitoring system includes: an alarm range storage unit that stores an alarm range, in which an alarm output is required when an object is present, in a detection range of an object detection device that detects an object present in a periphery of a work vehicle; a work mode determination unit that determines a work mode of the work vehicle; an alarm range changing unit that changes the alarm range in the detection range when it is determined that the work mode is a specific work mode; and an alarm control unit that causes an alarm device to output an alarm when an object is present in the alarm range.

Abstract: A driving assistance apparatus is provided in which the detection range of a left-front-corner sonar (12a) located at the vehicle's left front corner is included in the field of view of a second imaging means (14) located at the vehicle's left front corner. When the left-front-corner sonar (12a) detects a three-dimensional object at the vehicle's left front corner, an image processing means (3) synthesizes an image of the image created using a second imaging means (14) and the images created with four cameras (7a-7d) for imaging the complete periphery of the vehicle, and creates a bird's-eye-view image (40b). The detection range of the left-front-corner sonar (12a) is included within a region of the bird's-eye image (40b) on the basis of the image created with the second imaging means (14).

Abstract: A dual camera module system includes a housing and a pair of camera modules (e.g., digital cameras) that are aligned with fields of view that overlap below the housing. The camera modules are mounted to a bench within the housing. The dual camera module system is configured for mounting above areas such as retail establishments or other materials handling facilities. The housing is formed from one or more sections of plastic or like materials, and includes inlets and outlets that enable air to flow past the camera modules and other components within the housing, and to maintain such components at a desired temperature. Images captured by the imaging devices of the camera module may be utilized for any purpose.

Abstract: Systems and methods are disclosed herein for displaying images of certain surroundings of an agricultural implement, for example one including a frame extending between opposing distal ends of a length transverse to a working direction of the agricultural implement. Individual image regions of the surroundings of the agricultural implement are captured using cameras arranged on the agricultural implement and directed toward a working area in the working direction, wherein a corresponding display is generated on a user interface. One or more traveling conditions (e.g., an edge of the working area and/or an edge of the frame, respectively corresponding to a first end and/or second end of the frame) may be automatically projected in the working direction, wherein respective indicia corresponding to the projected traveling conditions are superimposed on the generated display. The indicia may optionally be modified dynamically based on determined changes in a projected course of the working direction.

Abstract: In various examples, one or more deep neural networks (DNNs) are executed to regress on control points of a curve, and the control points may be used to perform a curve fitting operation—e.g., Bezier curve fitting—to identify landmark locations and geometries in an environment. The outputs of the DNN(s) may thus indicate the two-dimensional (2D) image-space and/or three-dimensional (3D) world-space control point locations, and post-processing techniques—such as clustering and temporal smoothing—may be executed to determine landmark locations and poses with precision and in real-time. As a result, reconstructed curves corresponding to the landmarks—e.g., lane line, road boundary line, crosswalk, pole, text, etc.—may be used by a vehicle to perform one or more operations for navigating an environment.

Abstract: A parking assist apparatus comprises an imaging apparatus and a controller configured to extract feature points from captured image where a region a driver desires to register a parking position therein is captured, and register the extracted feature points in association with the parking position, registering this position as registered parking position. When it is determined that a feature point(s) is detectable from captured image, the controller calculates the registered parking position by detecting the feature point(s), and performs parking assist control for parking the vehicle in the registered parking position.

Abstract: A cleaning apparatus of an object detection sensor including: an environment information acquisition unit configured to acquire surrounding environment information of a vehicle; and a cleaning unit configured to create a cleaning solution mixture based on the surrounding environment information acquired by the environment information acquisition unit, and clean a cover installed on the object detection sensor to protect the object detection sensor from foreign matter by spraying the created cleaning solution mixture onto the cover, in order to prevent a reduction in sensing performance of the object detection sensor due to contamination by the foreign matter. The object detection sensor may sense a target object by transmitting a scan signal to the target object and receiving a sensing signal reflected from the target object, and the scan signal and the sensing signal may be transmitted and received through the cover.

Abstract: An apparatus and method for controlling lane following include acquiring front image information through a camera installed at an ego-vehicle during travel of the ego-vehicle; setting a target trajectory of the ego-vehicle using line information and travel information of a preceding vehicle extracted based on the image information; and calculating a steering torque to control steering of the ego-vehicle along the set target trajectory.

Abstract: Apparatus and methods are provided for a video enabled armor system for use in an armored surface of a vehicle. In one embodiment the system has an exterior facing ballistic resistant armor panel mounted over an opening in the armored surface of the vehicle, with the armor panel overlaying the armored surface around a perimeter of the opening. The armor panel has a first aperture in a portion of the panel adjacent the opening, and a first video camera disposed in the first aperture aimed outward through the first aperture. The system may further include a video display operatively connected to the first video camera and mounted over the opening on an interior side of the armored surface.

Abstract: A method for detecting an object via a vehicular vision system includes disposing first and second cameras at respective locations at a vehicle so as to have respective first and second fields of view rearward of the vehicle. The locations are vertically and horizontally spaced apart by respective vertical and horizontal separation distances. With the first and second cameras disposed at the respective locations, the first field of view at least partially overlaps the second field of view. An electronic control unit (ECU) is provided that includes an image processor. Image data is captured by the cameras and provided to the ECU and processed at the ECU. The ECU, responsive to processing of captured image data and based on the separation distances, determines presence of an object in the overlapping region of the first and second fields of view and determines the location of the object relative to the vehicle.

Abstract: The present disclosure describes a method for occupancy class prediction, such as for occupancy class detection in a vehicle. In aspects, the method includes determining, for a plurality of points of time, measurement data related to an area and determining, for a plurality of points of time, occlusion values based on the measurement data. The method further includes selecting, for a present point of time, one of a plurality of modes for occupancy class prediction based on the occlusion values for at least one of the present point of time and a previous point of time and/or based on one of the plurality of modes for occupancy class prediction selected for the previous point of time. The method additionally includes determining, for the present point of time, one of a plurality of predetermined occupancy classes of the area based on the selected mode for the present point of time.

Abstract: A system for predicting a hazardous event from road-scene data includes an electronic control unit configured to implement a neural network and a camera communicatively coupled to the electronic control unit, wherein the camera generates the road-scene data. The electronic control unit is configured to receive the road-scene data from the camera, and predict, with the neural network, an occurrence of the hazardous event within the road-scene data from the camera.

Abstract: A plurality of images of an imaging subject are captured by using a plurality of cameras. The plurality of images are synthesized to generate a synthesized image viewing the imaging subject from a virtual perspective. The synthesized image is displayed on a screen. When a user operation for changing the position of the virtual perspective is detected, the position of the virtual perspective in the synthesized image is changed.

Abstract: A method for controlling emergency stop of an autonomous vehicle is provided. The method includes: controlling emergency stop of an autonomous vehicle capable of recognizing a stop request from an emergency vehicle, determining whether a current situation is an emergency situation or a general situation, and performing a procedure corresponding to each situation to stop the autonomous vehicle based on each situation.

Abstract: Calibration with high accuracy can be realized even when performing the calibration while running on the actual road.

Abstract: A vehicle includes a cabin and a vehicle body including a cargo area rearward of the cabin. A tailgate assembly is mounted to the vehicle body that closes the cargo area. The tailgate assembly includes a rear-mounted video camera. An electronic control unit receives image data from the rear-mounted video camera. A connector communicatively couples the electronic control unit and the rear-mounted video camera. The connector has a closed configuration with the tailgate assembly mounted to the vehicle body and an open configuration with the tailgate assembly removed from the vehicle body. The electronic control unit includes logic that, wherein executed by a processor, causes the electronic control unit to receive signals from an alarm circuit when the connector is in the closed configuration and detect when the signals from the alarm circuit have stopped when the connector is in the open configuration.

Abstract: A display system is provided in a vehicle and includes: an HUD positioned inside the vehicle and configured so as to display, on the vehicle window, a surrounding environment video indicating the environment surrounding the vehicle; and a display control unit controlling the HUD such that the surrounding environment video is displayed on the window in accordance with prescribed conditions associated to the vehicle or the environment surrounding the vehicle and configured so as to reduce the transmittance of the window.