Abstract: A display device includes an acquisition unit that acquires moving image data generated by an image-capturing device and velocity information on the image-capturing device while generating the moving image data, and a display control unit that controls a region to be processed for a moving image to be displayed on a display unit using the moving image data, based on the velocity information acquired by the acquisition unit.

Abstract: A recognition processing apparatus includes a video acquisition unit configured to acquire first captured image data of surroundings of a host vehicle captured by a far-infrared camera, an other vehicle detection unit configured to detect another vehicle parked or stopped in the surroundings of the host vehicle, a heat detection unit configured to detect radiated heat associated with an operation of the other vehicle based on a thermal distribution in a region corresponding to the other vehicle in the first captured image data, and a person detection unit configured to, when the radiated heat has been detected, preferentially execute person recognition in a vicinity of the other vehicle to detect a person. The recognition processing apparatus can ascertain the possibility that a person gets out of a detected vehicle and promptly detect such a person.

Abstract: The disclosure includes: a first acquisition section that acquires a first image captured by an imaging device mounted on a vehicle after driving of the vehicle is finished; a second acquisition section that acquires a second image captured by the imaging device when driving of the vehicle is started; and a detection section that detects misalignment between the first image and the second image.

Abstract: The present disclosure discloses a system and a method. In an example implantation, the system and the method can receive an image at a first deep neural network, estimate a distance between an object depicted in the image and a vehicle, wherein the first deep neural network estimates the distance, determine whether the estimated distance is greater than a predetermined distance threshold, and generate an alert when the estimated distance is not greater than the predetermined distance threshold.

Abstract: A vehicle and a camera bracket include a lens hood which surrounds a detection space of an external environment detection camera, the lens hood includes a bottom surface forming part which forms a flat-shaped surface (a bottom surface) facing the detection space, the bottom surface extends to spread radially in the detection direction from the lens side and includes a reflected wave reducing structure on this bottom surface, and the bottom surface forming part includes a partition part that partitions the reflected wave reducing structure into a plurality of regions.

Abstract: A monitoring device for a vehicle that, in a case in which it is determined, based on information captured by a towing information capture device, that the vehicle is not towing another vehicle, provides support for monitoring an area to a rear of the vehicle using images captured by a first capture device, and in a case in which it is determined, based on the information captured by the towing information capture device, that the vehicle is towing another vehicle, provides support for monitoring the area to the rear of the vehicle using images captured by a second capture device.

Abstract: A vehicle surrounding display apparatus comprises a display control means for displaying images, each of which corresponding to each of a plurality of display modes on a display screen. The display control means, when at a first mode, generates a first bird's-eye view image of a vehicle and a first surrounding region thereof seen from a bird's-eye view to display this image in a first display area with a fixed size on the display screen and generates a first another image to display this image in a second display area with a fixed size on the display screen, and when at a second mode, generates a second bird's-eye view image of a vehicle and a second surrounding region thereof wider than the first surrounding region to display this image in the first display area and generates a second another image to display this image in the second display area.

Abstract: In general, certain embodiments of the present disclosure provide a detection and avoidance system for a vehicle. According to various embodiments, the detection and avoidance system comprises an imaging unit configured to obtain a first image of a field of view at a first camera channel. The first camera channel filters radiation at a wavelength, where one or more objects in the field of view do not emit radiation at the wavelength. The detection and avoidance system further comprises a processing unit configured to receive the first image from the imaging unit and to detect one or more objects therein, as well as a notifying unit configured to communicate collision hazard information determined based upon the detected one or more objects to a pilot control system of the vehicle. Accordingly, the pilot control maneuvers the vehicle to avoid the detected objects.

Abstract: A light apparatus, system, and method to replace a vehicle light is disclosed which includes a retainer bracket attached to a light assembly and a camera housing attached to the light assembly, wherein the camera housing is configured to secure a digital or analog camera to the light assembly.

Abstract: In a method for smart roadway alerts, a roadway alert device, coupled to a vehicle: receives a video stream including a video of a location of a roadway from a video camera; decodes the video stream to extract a set of video frames; analyze the set of video frames to detect one or more risk events; generates a risk alert for each of the one or more risk events; and sends the risk alert to the vehicle.

Abstract: A self-driving coordination system and the control method thereof are disclosed. The system and the control method are applied to an all-self-driving vehicle fleet. The self-driving coordination system comprises a leader control device, a follower control device, and a server. The leader control device is mounted in a leader. The follower control device is mounted in a follower. The leader control device and the follower control device communicate with each other for bidirectional data transmission. The server communicates with the leader control device and the follower control device for respective bidirectional data transmission.

Abstract: A displace device for a vehicle includes a display unit and a controller. The controller is configured to: receive an image of a road in which the vehicle is located and trajectory information providing a trajectory of vehicle movement, detect one or more lanes of the road based on the received image of the road, assign weights to (i) the detected one or more lanes and (ii) the trajectory of vehicle movement, respectively, based on a preset reference value, generate a virtual road image providing a direction based on the assigned weights, and control the display unit to display the generated virtual road image.

Abstract: The present application generally relates to a method and apparatus for obtaining incident related data in a motor vehicle. In particular, the system is operative to determine a vehicle to vehicle contract event or near contact event, transmit a request for data, such as video, numeric, and telemetry data, from proximate actors via V2X communications channel, or to request the data be transmitted to a network storage location.

Abstract: A heatable device for use with a vehicle-mounted image acquisition unit is disclosed. The heatable device includes a main body including a first end, a second end, an interior cavity, and a receiving portion. A transparent glass substrate fixed to the main body includes a transparent electrically-conductive coating on an inner surface thereof. At least one electrically-conductive unit contacts the transparent electrically-conductive coating on the inner surface of the transparent glass substrate, and may receive electric current selectively provided by a vehicle-mounted power supply and conduct the electric current to the transparent glass substrate, thereby selectively heating the transparent glass substrate. A sealing member may couple an opening in the receiving portion with at least a portion of a vehicle-mounted image acquisition unit such that the vehicle-mounted image acquisition unit has a field of view extending through the main body to an outside environment surrounding a vehicle.

Abstract: Techniques are disclosed to facilitate, in autonomous vehicles, the robust detection and classification of objects in a scene using a static sensors in conjunction with event-based sensors. A trained system architecture may be implemented, and the fusion of both sensors thus allows for the consideration of scenes with overexposure, scenes with underexposure, as well as scenes in which there is no movement. In doing so, the autonomous vehicle may detect and classify objects in conditions in which each sensor, if operating separately, would not otherwise be able to classify (or classify with high uncertainty) due to the sensing environment.

Abstract: A method for providing a connected service is provided. The method Includes storing service subscription information including information of a subscriber subscribed to a service and apparatus information of the subscriber; receiving terminal registration request from an image capturing apparatus for a vehicle; determining validity of the terminal registration request by comparing identification information corresponding to the terminal registration request with pre-stored service subscription information; registering the image capturing apparatus for a vehicle as an apparatus supplied with a service when it is determined that the terminal registration request is valid; and receiving operation data generated in an operation process of the registered image capturing apparatus for a vehicle and staring the received operation data.

Abstract: An apparatus for stabilizing a camera of an autonomous vehicle includes: a sensor that detects vibration generated and applied to the camera due to a state of a road surface when the autonomous vehicle is traveling; a first actuator that attenuates roll vibration applied to the camera; a second actuator that attenuates pitch vibration applied to the camera; and a controller that controls the first actuator and the second actuator to attenuate the vibration detected by the sensor.

Abstract: To acquire a color image. A solid-state image pickup device according to an embodiment includes a plurality of light receiving portions, each of which receives light of a specific wavelength to generate an electric charge corresponding to an amount of the received light, a detector that detects a photoelectric current based on an electric charge generated in at least one of the plurality of light receiving portions, a generator that generates a voltage signal based on the electric charge generated in each of the plurality of light receiving portions, and a driving circuit that causes the generator to generate voltage signals based on electric charges generated in at least two of the plurality of light receiving portions, respectively, on the basis of a detection result of the photoelectric current by the detector.

Abstract: A behavior prediction apparatus specifies a first object that affects a behavior of a vehicle from objects present around the vehicle. The behavior prediction apparatus performs a prediction process of extracting a second object that affects a behavior of the first object among a plurality of objects present around the first object and predicting a behavior. The behavior prediction apparatus sets the extracted second object as a new first object, and performs a prediction process of extracting a new second object affecting the behavior of the new first object and predicting the behavior. The behavior prediction apparatus repeats the prediction process by a predetermined number of times. The behavior prediction apparatus predicts the behavior of the first object in the first prediction process based on the behavior of each of the second objects subjected to the prediction process.

Abstract: A display system includes: an image data acquisition unit that acquires a front image and a side image captured by an imaging device mounted on a work machine having a swing body swinging about a swing axis and working equipment supported by the swing body, the front image including at least an image in a front direction with respect to the swing axis, the side image including at least an image in a lateral direction to the swing axis, the lateral direction being orthogonal to the front direction; and a display control unit that displays the front image and the side image acquired by the image data acquisition unit on a display device existing outside the work machine.

Abstract: A system includes a processor and a memory in communication with the processor having one or more modules. The modules include instructions that cause the processor to receive first sensor information from a first sensor and second sensor information of a shared field of view. The instructions cause the processor to detect one or more objects within the shared field of view using the first sensor information and the second sensor information. When one or more discrepancies are identified between the one or more objects detected using the first sensor information and the one or more objects detected using the second sensor information are detected, the instructions that cause the processor to determine that the first sensor or the second sensor needs cleaning.

Abstract: The present disclosure provides various approaches for smart area monitoring suitable for parking garages or other areas. These approaches may include ROI-based occupancy detection to determine whether particular parking spots are occupied by leveraging image data from image sensors, such as cameras. These approaches may also include multi-sensor object tracking using multiple sensors that are distributed across an area that leverage both image data and spatial information regarding the area, to provide precise object tracking across the sensors. Further approaches relate to various architectures and configurations for smart area monitoring systems, as well as visualization and processing techniques. For example, as opposed to presenting video of an area captured by cameras, 3D renderings may be generated and played from metadata extracted from sensors around the area.

Abstract: A trailer backup assist system is provided herein. The trailer backup assist system includes a hitch angle sensor configured to determine a hitch angle between a vehicle and a trailer attached thereto. An input device is configured to accept an input command corresponding to a trailer path command curvature. A controller is configured to determine a vehicle threshold speed limit by determining a first vehicle speed limit based on the hitch angle and a second speed limit based on the command curvature. The controller generates a command to limit vehicle speed in a reverse direction below the threshold speed limit.

Abstract: A control system for controlling a motion of a vehicle is disclosed, where the control system comprises an input interface to accept measurements of the environment and an image processor to generate an extended bird's eye view (BEV) image from the measurements. The BEV image has a set of pixels carrying information about objects in the environment, and a pixel in the set of pixels is associated with a time sequence of future positions of the pixel in subsequent time steps representing a prediction of a future motion of an object. The control system further comprises a motion planner to produce a motion trajectory of the vehicle using the extended BEV image. The control system further comprises a controller to control an actuator of the vehicle based on the produced motion trajectory.

Abstract: A vehicle electronic mirror system including: a rearward image capture section configured to capture a rearward video image from a vehicle; a video image processing section including: a computation section configured to extract a feature point in the rearward video image and to compute an optical flow direction of the feature point, a determination section configured to determine whether or not the optical flow direction of the feature point is heading toward a point-at-infinity side in the rearward video image, and a processed video image generation section configured to generate a processed video image in which visibility of a region in the rearward video image corresponding to a feature point heading toward the point-at-infinity side is reduced relative to a visibility of other regions in the rearward video image; and a display device configured to display the processed video image toward an occupant.

Abstract: Apparatuses, systems and computer-implemented methods are disclosed for equipment use tracking and availability prediction. A monitor module may electronically monitor use of equipment by a plurality of users at one or more locations, by obtaining information about equipment use from sensing equipment that identifies users and times of use for the equipment. A profile module may store a plurality of user profiles based on the information about equipment use. User profiles may include information about the users indicating equipment used and time of use. A prediction module may send a recommendation indicating predicted equipment availability to a user based on current information about equipment use and on the user profiles.

Abstract: An optical unit includes a first light source, a second light source, a rotary reflector that rotates about an axis of rotation while reflecting first light emitted from the first light source, and a projection lens that projects the first light reflected by the rotary reflector into a light illuminating direction of the optical unit to form a first light distribution pattern. The second light source is disposed such that second light emitted from the second light source enters the projection lens without being reflected by the rotary reflector. The projection lens is configured to project the second light into the light illuminating direction of the optical unit to form a second light distribution pattern such that the second light distribution pattern overlaps an end portion of the first light distribution pattern in a right-left direction.

Abstract: The invention relates to a method for removing deposits on a lens (11) of a camera (9) of a motor vehicle (1), in which a contaminant present on the lens (11) is removed as the deposit, wherein a cleaning liquid (13) is applied to the lens by means of a washing device (12) for removing the contaminant, wherein a temperature of the lens (11) is determined and the application of the cleaning liquid (13) to the lens (11) is performed depending on the determined temperature.

Abstract: The present disclosure relates to an XR device and a method for controlling the same, and more particularly, is applicable to a 5G communication technology field, a robot technology field, an autonomous technology field and an artificial intelligence (AI) technology field. The method for controlling an XR device of a vehicle includes acquiring a camera view by capturing an image in front of the vehicle; acquiring position information of the vehicle by detecting a position of the vehicle, acquiring movement information of the vehicle by detecting movement of the vehicle, and providing navigation of an augmented reality (AR) mode displaying at least one virtual object for guiding a path by overlapping the at least one virtual object on the camera view based on at least the position information of the vehicle or the movement information of the vehicle.

Abstract: A vision system for a vehicle includes at least one camera disposed at a vehicle and having an image sensor operable to capture image data. A display is operable to display video images for viewing by a driver of the vehicle during normal operation of the vehicle. A first system on chip (SoC) receives captured image data and processes the received captured image data for machine vision. The first SoC, responsive to image processing of the received captured image data, generates an output for a driver assistance system of the vehicle. A second system on chip (SoC) receives captured image data and communicates the image data to the display.

Abstract: Provided is an Artificial Intelligence (AI) system for simulating a human brain's functions, such as recognition, decision, etc., by using a machine learning algorithm such as deep learning, etc. and applications of the AI system. Provided is an electronic device including: a camera configured to capture an outside image of a vehicle, and a processor configured to execute one or more instructions stored in a memory, wherein the processor executes the one or more instructions to: determine, from the captured image, at least one object for estimating lane information; estimate, from the image, lane information of a road on which the vehicle is traveling, based on a distance between the determined at least one object and the vehicle and a vanishing point of the image; and output guide information for guiding driving of the vehicle based on the estimated lane information.

Abstract: A trailer detection system for a vehicle includes a trailer sensor, an imaging system, and a controller. The controller implements a trailer angle indication process including receiving and processing image data to identify a rotation point of a trailer coupled with the vehicle about a fifth-wheel hitch, left and right lateral edges of the trailer, and a distance between a rear portion of a cab of the vehicle and a front face of the trailer. Trailer yaw rate data is received and processed to determine an angle of the trailer about the rotation point, and an expected position of the front face of the trailer and at least one of the left and right lateral edges of the trailer with respect to the cab of the vehicle is calculated.

Abstract: A recognition control circuitry detects a light amount of an imaging area on the basis of an image signal from a camera, a control signal from a camera control circuitry, and the like, and generates selection determination information on the basis of a detection result of the light amount. A recognition processing circuitry performs area division on an image of an imaging area generated by the camera on the basis of the selection determination information generated by the recognition control circuitry, and selects a recognizer for each area. Moreover, the recognition processing circuitry performs a subject recognition process on an image of the corresponding area by using the selected recognizer. Even when a captured image includes a bright area and a dark area, a subject in each area can be easily and accurately recognized.

Abstract: Various embodiments include a method for operating a camera-monitor system for a motor vehicle, wherein the camera-monitor system has a side camera assigned to a longitudinal side of the motor vehicle to provide an image of surroundings of the motor vehicle. The method may include: specifying a region of interest in the surroundings; and transforming the image of the camera into a transformed image wherein the region of interest in the transformed image is arranged in a specified image region with a specified magnification independent of any change in relative position between the region of interest and the motor vehicle.

Abstract: In an imaging device, a first motion information acquisition unit acquires motion information of the imaging device, and a second motion information acquisition unit acquires motion information of an external device. A shake information generation unit performs a process of subtracting the motion information of the external device from the motion information of the imaging device on the basis of the acquired motion information of the imaging device and the external device. Image blur correction information is generated from the subtracted motion information. An image blur correction control unit performs driving control of a correction lens of an optical system and a movement mechanism unit of an imaging element in accordance with the image blur correction information from the shake information generation unit.

Abstract: An imaging system for a vehicle includes a tail lamp assembly that illuminates a field of illumination rearward of the vehicle. A light source control may operate at least one light source of the tail lamp assembly in a repeating cycle that includes (i) a first illumination period wherein light emitted by the tail lamp assembly has a first brightness level and (ii) a second illumination period wherein light emitted by the tail lamp assembly has a second brightness level that is lower than the first brightness level. A camera is operable to capture image data representative of a region that is at least in part within the field of illumination. A camera control may operate the camera to capture image data during at least part of the first illumination period.

Abstract: A method and system are disclosed that provide integrated detection of spatially distributed events and monitoring of spatially distributed areas. Wireless beacon detection and event reporting by a mobile device are used to provide a management server with location information about events that may require video surveillance. The management server determines if any cameras are appropriate to monitor that location, and directs a camera management server to initiate video surveillance.

Abstract: A heating device for off-vehicle information acquisition means, which has high heating efficiency, which is thin, and which has a high degree of freedom for layout of a heating element is provided. A heating device (100), which is arranged inside a vehicle, heats a window glass portion (Wa) located in an information acquisition path (5) of an off-vehicle information acquisition means (50) for acquiring information outside the vehicle. The heating device (100) comprises a hood (10) provided inside the vehicle below the information acquisition path (5) of the off-vehicle information acquisition means (50) and a heating element (20) provided on the surface of the hood (10) or inside the hood (10) and having a PTC heater layer (21).

Abstract: A method, an apparatus, an electronic device, and a storage medium for monitoring an image acquisition device are provided, which are related to a field of computer vision technology. The method for monitoring the image acquisition device includes: determining a stop position of each target vehicle from a first video image acquired by the image acquisition device; determining a marking line in the first video image according to the stop positions of their respective target vehicles, and determining a deviation amount of the marking line in the first video image from a reference making line, and determining that the image acquisition device has deviated in a case that the deviation amount reaches a predetermined condition. The workload of manual detection is reduced, and the accuracy of deviation amount monitoring is increased by comparing the marking line with the reference marking line.

Abstract: A warning device according to the present invention includes an image acquisition unit configured to acquire an image group including a plurality of images taken in succession, a detection unit configured to perform detection of an object on each of images in the image group, a determination unit configured to compare detection results of the object in the image group in chronological order and determine a degree of movement of the object, and a warning unit configured to issue a warning in accordance with the determined degree of movement, wherein the image acquisition unit acquires a plurality of image groups respectively based on a plurality of filter characteristics and the determination unit compares corresponding images between the plurality of image groups and thereby selects an image with high detection accuracy for each time period, compares the selected images in chronological order, and determines the degree of movement of the object.

Abstract: A light blocking element (5) for an imaging system (1) for a motor vehicle including a bottom section (6), a left wall section and a right wall section (8), the wall sections (8) extending from an opening (12) for reception of a camera lens (4) between the wall sections (8), the wall sections (8) being attached to the bottom section (6) at a first end (9), the wall sections' second end (13) being adapted to be attached to a motor vehicle windshield (2). The wall sections (8) being elastically deformable.

Abstract: A work screen display system including a position information obtaining unit for obtaining position information on a work vehicle based on positioning correction information supplied from a first reference station; a region shape determination unit for determining a shape of a specific region where the work vehicle performs autonomous travel, based on positioning correction information supplied from a second reference station; and a display control unit for displaying, on a display unit, a specific region indication section indicating the specific region determined by the region shape determination unit. The display control unit displays the specific region indication section in a display mode that varies between a case where the first and second reference stations are identical and a case where the first and second reference stations are not identical.

Abstract: A traction assist apparatus includes a memory and a hardware processor coupled to the memory. The hardware processor is configured to: acquire first coupling information representing a current coupling posture of a towed vehicle to a towing vehicle and acquire second coupling information representing a future coupling posture of the towed vehicle where the towing vehicle moves backward at a current steering angle; and display a first indicator and a second indicator on a display device in a comparable mode, the first indicator indicating the towed vehicle corresponding to the first coupling information, the second indicator indicating the towed vehicle corresponding to the second coupling information.

Abstract: An apparatus for implementing a lane change decision aid system (LCDAS) includes: a sensing unit sensing whether there is a target vehicle in adjacent zones, a rear zone, or a forward zone of a subject vehicle; a determination unit determining an activation condition for determining whether an LCDAS function is active/inactive and a warning condition for determining whether a warning of the LCDAS function is issued/un-issued, based on the sensing of the sensing unit; a warning unit issuing the warning to a driver based on the determination of the determination unit; and a control unit controlling the sensing unit, the determination unit, and the warning unit.

Abstract: Kalman filter based road grade estimation techniques use models of a longitudinal accelerometer, an angular pitch rate gyroscope, and a velocity sensor and their outputs, and fuses the sensor measurements to optimally estimate the road grade. The proposed Kalman filter formulation is unique in that it uses a mathematical model of the sensors where the gyroscope output is considered as the input and the combined accelerometer and velocity sensor output is considered as the output of the model whose states are to be estimated. By using this unique second-order state space model, a Kalman filter based estimation algorithm is developed to estimate road grade accurately in real-time. This estimated road grade is then being utilized by various vehicle efficiency and/or safety systems to improve vehicle efficiency and/or vehicle safety.

Abstract: A system and method may include capturing a multi-channel polarimetric image and a multi-channel RGB image of a scene by a color polarimetric imaging camera. A multi-channel hyperspectral image may be synthesized from the multi-channel RGB image and concatenated with the multi-channel polarimetric image to create an integrated polarimetric-hyperspectral image. Scene properties within the integrated polarimetric-hyperspectral image may be disentangled.

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: A dual sensor imaging system and a calibration method thereof are provided. The dual sensor imaging system includes at least one color sensor, at least one infrared ray (IR) sensor, a storage device, and a processor. The processor is configured to load and execute a computer program stored in the storage device to: control the color sensor and the IR sensor to respectively capture multiple color images and multiple IR images of an imaging scene by adopting multiple capturing conditions; calculate multiple color image parameters of the color image captured under each capturing condition and multiple IR image parameters of the IR image captured under each capturing condition to be used to calculate a difference between a brightness of the color image and a brightness of the IR image; and determine an exposure setting suitable for the color sensor and the IR sensor according to the calculated difference.

Abstract: A stationary vision system at a road along which vehicles travel includes an imaging sensor disposed at the road and having a field of view that encompasses a portion of the road. A wireless communication device is operable to wirelessly communicate with vehicles traveling along the road. A control includes a data processor operable to process image data captured by the image sensor. The control is operable to communicate with vehicles traveling along the road via the wireless communication device. The control, responsive to processing of image data captured by the imaging sensor, generates a three dimensional (3D) model of the portion of the road encompassed by the field of view of the imaging sensor. The control transmits the 3D model to vehicles traveling along the road.

Abstract: The present invention includes: a vehicle exterior image acquisition unit acquiring a vehicle exterior image being an image of an external surrounding of a vehicle; a vehicle interior image acquisition unit acquiring a vehicle interior image being an image of an interior of the vehicle; a person recognition unit respectively recognizing, based on the vehicle exterior and interior images, motions of a person outside the vehicle and a person in the vehicle; and a door control unit controlling a state of a door of the vehicle, wherein, if a person outside the vehicle approaching the vehicle has been recognized based on a recognition result of the person recognition unit, the door control unit executes an opening operation on the door if it has been determined that the person in the vehicle has performed a specific motion determined in advance regarding the approaching person outside the vehicle.