Abstract: Techniques including obtaining a first location of a vehicle, the vehicle having two or more cameras disposed about the vehicle, each camera associated with a physical camera pose, capturing, by a first camera, a first image of a first area in a first field of view, associating the first image with the first location of the vehicle when the first image was captured, moving the vehicle in a direction so that the first area is in an expected second field of view of a second camera, wherein the second camera is not capturing images, obtaining a second location of the vehicle, determining a temporal camera pose based on a first physical camera pose, a second physical camera pose, and the second location of the vehicle, and rendering a view of the first area from the expected second field of view of the second camera based on the first image.

Abstract: Examples relate to a method for determining distance information of an object using a Time of Flight (ToF) system and to a ToF system. The method includes emitting modulated light towards the object using a light source. The method includes measuring a reflection of the modulated light using a ToF sensor module. The reflection of the modulated light is generated by successive reflections of the modulated light by the object and by an additional reflective surface. The method includes determining the distance information of the object based on the measured reflection of the modulated light.

Abstract: A camera parameter estimating device includes: a camera position posture acquisition unit acquiring estimated position and posture of a camera, based on a captured image acquired by the camera; a first vector calculation unit calculating a first vector corresponding to a traveling direction of the vehicle; a second vector calculation unit calculating a second vector corresponding to a normal direction of a plane corresponding to a road surface on which the vehicle travels; a third vector calculation unit calculating a third vector orthogonal to the first and second vectors; and a camera parameter estimation unit estimating an actual installation posture of the camera on the basis of the first, second and third vectors and the estimated posture of the camera when the estimated position moves along a direction indicated by the first vector.

Abstract: An image processing apparatus is provided. An image photographed by a camera that photographs the surroundings of the vehicle is received. An overhead image, a vehicle travel direction image, and a vehicle lateral side image corresponding to a vehicle movement direction which is either left or right of the vehicle is generated based on the image. The generated image is displayed on a display unit. For example, a display image is generated or updated in accordance with a travel direction of the vehicle and direction-of-rotation information of a steering wheel. In a case where the vehicle is backed counter-clockwise, the overhead image, the vehicle rear image, and a vehicle left side image are generated and displayed. In a case where the vehicle is backed clockwise, the overhead image, the vehicle rear image, and a vehicle right side image are generated and displayed.

Abstract: The present disclosure relates to a method for displaying lane information of an electronic device. The method for displaying lane information according to the present disclosure includes: acquiring an image photographed while a vehicle is driving; dividing the acquired image according to a distance from the vehicle; detecting lane display lines in the divided areas; curve-fitting the detected lane display lines to a continuous curve; and displaying the curve-fitted curve on a predetermined user interface. According to the present disclosure, it is possible to improve the route visibility to the driver by recognizing the far-distance lane by determining whether the vehicle is in the driving lane. In addition, it is possible to more accurately provide the route guidance information by using the real-time lane recognition results for the display of the route guidance.

Abstract: A histogram is calculated based on a road surface image of a portion around a vehicle, and the histogram is separated into a histogram that represents an in-sunlight road surface and includes a first peak value and a histogram that represents a shadow road surface and includes a second peak value to output the histograms, thereby further enhancing the accuracy of road surface detection around the vehicle as compared with conventional art.

Abstract: A method includes determining the position of the motor vehicle, identifying at least one object not relevant to road traffic as an object in the landscape in the surroundings of the motor vehicle, depending on the determined position, detecting at least the direction of view of a passenger as an occupant of the motor vehicle, and providing a display with information about the at least one object in the landscape viewed by the passenger, such that said information is provided in the direct field of view of the passenger, as defined by the direction of view of the same, in the same place as the object.

Abstract: A system and method for monitoring objects in the vicinity of a work machine that is in motion includes obtaining, using a camera associated with the work machine, first image data of a field-of-view of the camera at a first position; identifying an object-of-interest within the first image data; associating an alarm with the object-of-interest, the alarm configured to indicate the presence of the object-of-interest; presenting the alarm through an output device; receiving an input to snooze the alarm for the object-of-interest; generating a mask for the object-of-interest using image coordinates of the object-of-interest within the first image data; obtaining, using the camera, second image data of the field-of-view of the camera at a second position during motion of the work machine; identifying an object within the second image data; and selectively aborting the alarm presentation through the output device in response to determining, using the mask, that the object is the object-of-interest.

Abstract: Disclosed are devices, systems and methods for using a rotating camera for vehicular operation. One example of a method for improving driving includes determining, by a processor in the vehicle, that a trigger has activated, orienting, based on the determining, a single rotating camera towards a direction of interest, and activating a recording functionality of the single rotating camera, where the vehicle comprises the single rotating camera and one or more fixed cameras, and where the single rotating camera provides a redundant functionality for, and consumes less power than, the one or more fixed cameras.

Abstract: A system for trailer coupler localization for guidance during a hitching maneuver for a vehicle includes a trailer device including a trailer coupler and a graphic providing structure affixed to the trailer coupler. The structure includes at least one predefined graphic image. The system further includes a rear facing camera device attached to the vehicle and providing a captured image of the predefined graphic image. The system further includes a computerized controller, including programming to receive and analyze the captured image of the predefined graphic image to determine a relative position of the graphic providing structure to the camera device. The controller further includes programming to utilize the analysis to determine a relative position of the trailer coupler to a trailer hitch ball of the vehicle and to provide an output to control the hitching maneuver based upon the relative position.

Abstract: The data transmission device includes a processor configured to: acquire data based on a sensor signal from a sensor mounted on a vehicle repeatedly at a predetermined time interval, determine a selection cycle based on a movement speed of the vehicle and selects one or more sets of data from the repeatedly acquired data for each determined selection cycle, and transmit the selected one or more sets of data to an external server.

Abstract: A method for training a homography attention module (HAM) to perform multi-view object detection includes steps of: generating, from an i-th feature map corresponding to each of multiple training images representing multi-views of a target space, a 1-st to a d-th channel attention map for determining channel attention scores each channel included in the i-th feature map has for each of a 1-st to a d-th height plane of the target space, generating a 1-st to a d-th channel refined feature map by referring to channels with top k channel attention scores for each height, element-wisely multiplying them with corresponding spatial attention map generated therefrom to produce a 1-st to a d-th spatial refined feature map, and then homographically transforming them onto corresponding height plane and aggregating them to generate a BEV occupancy heatmap, which is used with its GT for training.

Abstract: A Remote Trailer Maneuvering (RTM) system includes a mobile device app that identifies and processes environmental information from a photo, to identify obstacles such as walls, surrounding objects, etc. When the RTM system detects a boat, a trailer, and a boat ramp, it calculates a travel distance to drive the trailer into the water for unloading the boat. The RTM system identifies obstructions, outputs information and warnings, and prompts for information and user control feedback. Once the photo is processed, the RTM system sends control instructions to an RTM controller onboard the vehicle. The vehicle may send a responsive message to the mobile device indicating that the RTM system is ready to proceed with the maneuvering function. The RTM controller maneuvers the trailer, using an autonomous vehicle controller, to the target position using the control instructions.

Abstract: A vehicle control apparatus includes a recognizer which is configured to recognize a surrounding environment of a host vehicle and a driving controller which is configured to perform automated driving on the basis of a recognition result of the recognizer, wherein the driving controller is configured to perform passing control of causing the host vehicle to pass a preceding vehicle if at least one of a first condition according to a relative speed of the host vehicle with respect to the preceding vehicle and a second condition according to a type of the preceding vehicle is satisfied when the recognizer recognizes the preceding vehicle, and is configured to curb the passing control by changing at least one of the first condition and the second condition when a continuity of a first route on which the host vehicle is traveling decreases.

Abstract: This disclosure describes systems and methods used in the development and validation of autonomous vehicles ability to track objects with sensors. This application describes a self-propelled autonomous platform and methods for carrying a pedestrian, cyclist or vehicular type target in a predetermined pattern during one or more testing runs. The self-propelled autonomous platform includes a sensor configured to retract within a platform housing of the self-propelled autonomous platform when being driven over during a test run.

Abstract: A vehicle control device includes a communicator configured to communicate with a parking lot management device having a function of guiding a vehicle, a driving controller configured to perform driving control including at least one of speed control and steering control of the vehicle, and an abnormality determiner configured to determine the presence or absence of an abnormality in the parking lot management device. The driving controller is configured to perform the driving control based on guidance of the parking lot management device on the basis of information received by the communicator from the parking lot management device and to restrict the driving control based on the guidance of the parking lot management device in a case where the abnormality determiner determines that the abnormality has occurred in the parking lot management device.

Abstract: Digital mirror systems for vehicles and methods of operating the same are disclosed. An example vehicle control system includes: a driver monitoring system including a head position determiner to determine at least one of a location of a head, an orientation of the head, or an eye gaze point of the head; a digital mirror system including a region-of-interest (ROI) detector to identify an ROI based on the at least one of the location of the head, the orientation of the head, or the eye gaze point of the head, and a cropper to extract a portion of a first image corresponding to the ROI to form a second image, the first image representing an area exterior to the vehicle; and a display within an interior area of the vehicle to present the second image.

Abstract: A vehicle head lamp includes a spatial light modulator and a control device. The vehicle head lamp forms a desired light distribution pattern by radiating light forward via the spatial light modulator, a high luminous intensity region and a low luminous intensity region adjacent to an outer edge of the high luminous intensity region are formed in the desired light distribution pattern to be irradiated by controlling the spatial light modulator, the low luminous intensity region is configured such that the luminous intensity decreases gradationally from the outer edge of the high luminous intensity region toward an outside of the low luminous intensity region, and the control device controls the spatial light modulator so as to relatively change at least one of sizes, luminous intensities, and positions of the high luminous intensity region and the low luminous intensity region based on a traveling condition of a vehicle.

Abstract: A vehicular camera monitoring system includes a pair of rearward viewing cameras disposed at a vehicle with overlapping fields of view. A driver-monitoring camera is disposed at the vehicle. An ECU includes an image processor that processes image data captured by the driver-monitor camera and the rearward viewing cameras. A stereographic video display screen is disposed at the vehicle and viewable by the driver of the vehicle. Responsive to processing of image data captured by the driver-monitoring camera, the ECU determines location of each eye of the driver of the vehicle. Responsive to processing of image data captured by each of the rearward viewing cameras, the stereographic video display screen displays video images derived at least in part from image data captured by both rearward viewing cameras and provides depth perception to the driver of the vehicle viewing the displayed video images.

Abstract: A method for determining an angle of a tip of a ripper shank includes a controller receiving an input command. The controller estimates an angle of the tip based on one or more parameters of the input command. Further, the controller acquires a video feed of the ripper shank and detects an object in the video feed. The controller identifies the object as one of the ripper shank or a component movable with a movement of the ripper shank based on a match of a color of the object to a predefined color and a match of a profile of the object to a predefined profile. The controller co-relates the profile to an angular value in a map table and sets the angular value to be an actual angle of the tip over the angle of the tip estimated based on the input command.

Abstract: A hologram switch system of a seat for vehicles generates hologram switch images for adjusting movement of the seat and air-conditioning of the seat in front of a passenger sitting on the seat, and allows the passenger to perform selection and operation in the generated hologram switch images through the position and motion of a passenger's hand, so that the passenger may more intuitively approach and easily operate the switch images and thereby easily operate various seat moving apparatuses and seat air-conditioning apparatuses.

Abstract: Techniques for vehicle collision avoidance are disclosed. Driver position data identifying a position of a driver with respect to a reference point is received from position sensor. The driver position data is compared by a processor against a predefined position threshold. A rear-view display mounted in a rear-view mirror housing is activated to display signals received from a wide-view rear facing camera when a result of comparing the driver position data against a predefined position threshold indicates that the driver position is at least equal to the predefined position threshold.

Abstract: A vehicular vision system includes a plurality of cameras disposed at a vehicle and having respective exterior fields of view, and a display screen for displaying images derived from captured image data in a surround view format where captured image data is merged to provide a single composite display image from a virtual viewing position. A control includes a processor that processes image data captured by the cameras to detect an object present in the field of view of at least one of the cameras. During a driving maneuver of the vehicle, the display screen displays surround view video images and responsive to detection of the object, the display screen displays an enlarged view of the detected object.

Abstract: A system and method for vehicle wheel detection is disclosed. A particular embodiment can be configured to: receive training image data from a training image data collection system; obtain ground truth data corresponding to the training image data; perform a training phase to train one or more classifiers for processing images of the training image data to detect vehicle wheel objects in the images of the training image data; receive operational image data from an image data collection system associated with an autonomous vehicle; and perform an operational phase including applying the trained one or more classifiers to extract vehicle wheel objects from the operational image data and produce vehicle wheel object data.

Abstract: A movable body has a monitoring device that monitors a surrounding environment of the movable body through a window member. The movable body includes a heating device that heats a portion of the window member within a monitoring area of the monitoring device, an air conditioning device, and a control device. The monitoring device includes a detector that detects the surrounding environment, and a base member that faces an inner wall of the window member and is disposed such that a detection surface of the detector is located within a space between the base member and the window member. The space is in communication with the inside of the movable body, and the control device sets the driving force of the air conditioning device to be greater when a decrease in heating performance of the heating device is detected.

Abstract: A tubular video camera assembly for recording photos or video includes a tube which is comprised of a rigid material such that the tube can be gripped by a user. A camera is disposed on an end of the tube to capture imagery in the direction that the tube is pointed. A plurality of first light emitters is disposed on the end of the tube to emit infrared light to facilitate the camera to capture imagery in a darkened environment. A plurality of second light emitters is disposed on the end of the tube to emit light visible light to illuminate a darkened area. A laser light emitter is disposed on the end of the tube to emit a beam of laser light outwardly from the tube for indicating a target of the camera.

Abstract: Systems and methods are provided for monitoring and mapping a theft of a target vehicle. One method includes grouping a plurality of vehicles in communication with a network to collectively monitor and collect evidence of theft of the target vehicle using camera sensors located in each of the plurality of vehicles. The network is operably connected with at least one processor. At least one input from at least one camera sensor of the plurality of vehicles is obtained and analyzed to determine a direction of travel of the target vehicle. The method includes generating a digital map including an indication of a location and a trajectory based on the direction of travel of the target vehicle. The method provides a communication to a law enforcement agency or a user, with the communication including the digital map.

Abstract: Generating a representation of a scene includes detecting an indication to capture sensor data to generate a virtual representation of a scene in a physical environment at a first time, in response to the indication obtaining first sensor data from a first capture device at the first time, obtaining second sensor data from a second capture device at the first time, and combining the first sensor data and the second sensor data to generate the virtual representation of the scene.

Abstract: An estimation device includes a recognition unit configured to recognize a surrounding environment of a moving object in recognition regions, and an estimation unit configured to estimate a risk for the moving object on the basis of a recognition result from the recognition unit, in which the recognition unit sets a priority region on which a recognition process is preferentially performed among the recognition regions, according to a state of the surrounding environment of the moving object, and sets, as the priority region, a region overlapping a region including at least a part of at least one crosswalk that is present in a vicinity of an intersection region in which a first road on which the moving object is located intersects a second road present in an advancing direction of the moving object.

Abstract: Embodiments of the present disclosure relate to a camera monitor system providing areas of importance to a driver, to a corresponding vehicle and to a method for operating such a camera monitor system comprising at least two separate cameras arranged to record camera views of the surrounding of the vehicle being different for each camera and at least one monitor with a monitor screen suitably arranged to provide the recorded camera views on the screen at least to the driver of the vehicle, wherein the provided camera views and/or an arrangement of the different recorded camera views on the monitor screen depend(s) on a status of the vehicle, wherein a control unit is adapted to observe the status of the vehicle and to alter the arrangement of the camera views provided on the screen in dependence on the observed status of the vehicle.

Abstract: An event data recorder as a recording device for vehicles capable of recording clear sound data that may contribute to investigation of a cause of an accident in event recording data, regardless of a sound volume of an audio sound played back in the own vehicle, includes a video data acquisition unit configured to acquire video data including sound data and imaging an area around the own vehicle, a sound volume detection unit configured to detect a sound volume of an audio sound played back in the vehicle, and a recording control unit configured to record video data including data by which a sound volume of an audio sound can be determined and sound data on which an effect of an audio sound is small, when a sound volume of an audio sound detected by the sound volume detection unit is greater than a sound volume.

Abstract: A user can access live or historic video feeds of the location he is in and input a desired destination, and the video feeds show the surroundings and indicate a route to the destination, changing as the user moves toward the destination.

Abstract: A method for a position determination of a vehicle, at least one camera and one sensor unit for a global satellite navigation system being situated on the vehicle. The method includes: acquiring at least one camera image of the environment of the vehicle with the aid of the camera, generating a transformed image as a function of the acquired camera image, with the transformed image having a virtual perspective pointing perpendicularly in the downward direction, determining a satellite position of the vehicle through a satellite-based position determination, and providing an aerial image of the environment of the vehicle as a function of the determined satellite position. A detection of a position of the transformed image in the supplied aerial image, and an ascertainment of a vehicle position as a function of the detected position of the transformed image in the supplied aerial image take place subsequently.

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 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. An electrically conductive metallic shield element is disposed at the rear housing portion and contacts the electrical connector at the second circuit board. The vehicular camera is configured to be mounted at a rear portion of the vehicle and viewing rearward of the vehicle.

Abstract: A virtual reality or mixed reality system configured to preform object detection using a monocular camera. The system configured to make the user aware of the detected objects by showing edges or lines of the object within a virtual scene. Thus, the user the user is able to avoid injury or collision while immersed in the virtual scene. In some cases, the system may also detect and correct for drift in the six degree of freedom pose of the user using corrections based on the current motion of the users.

Abstract: Methods and apparatuses are disclosed for recording video data of an event. The apparatuses include a processor communicating with memory. The memory stores video data of the event captured by a camera, and the video data includes a series of picture frames of the event. A loop buffer also stores video data of the event captured by the camera. A rule-based engine stored in the memory uses a set of rules to store the contents of the loop buffer in the memory. The apparatus utilizes the loop buffer to provide video data prior to occurrence of the event.

Abstract: A computer-implemented method for estimating a vehicle pose for a moving vehicle is described includes obtaining, via a processor disposed in communication with a monochromatic camera, a monochromatic image of an operating environment, and detecting in the monochromatic image an event patch showing a plurality of pixels associated with the moving vehicle. The method further includes generating an optical flow map using an unsupervised optical flow prediction network to predict an optical flow for each pixel in the monochromatic image. The optical flow map includes a Red-Green-Blue (RGB) patch having color information associated with a velocity for the moving vehicle. The system generates a pixel-level event mask that includes the RGB patch, and estimates the vehicle pose for the moving vehicle.

Abstract: Systems and methods for determining the amount of time that an object occupies a predetermined space are provided. In one implementation, a system comprises a sensor configured to determine a start time when a recognizable object enters a predetermined space. The sensor is further configured to determine an end time when the recognizable object leaves the predetermined space. The system also includes a processing device configured to determine an elapsed time, based on the start time and the end time, when the recognizable object remains in the predetermined space.

Abstract: Example vehicle occupancy management systems and methods are described. In one implementation, a method receives a current vehicle image representing a current interior of a vehicle. An occupancy management system detects at least one passenger in the vehicle based on the current vehicle image and determines a seating location of the passenger. A seat map is generated that identifies the seating location of the passenger in the vehicle.

Abstract: This technology relates to a system for cooling sensor components. The cooling system may include a sensor which has a sensor housing, a motor, a main vent, and a side vent. Internal sensor components may be positioned within the sensor housing. The motor may be configured to rotate the sensor housing around an axis. The rotation of the sensor housing may pull air into an interior portion of the sensor housing through the main vent, and the air pulled into the interior portion of the sensor housing may be exhausted out of the interior portion of the sensor housing through the side vent.

Abstract: The present application provides an object tracking method. The object tracking method includes obtaining an image of an area in front of a vehicle; dividing the image of the area in the front of the vehicle into a plurality of sub-images; determining a plurality of first sub-images that satisfy a plurality of threshold conditions out of the plurality of sub-images; selecting a plurality of target sub-images out of the plurality of first sub-images, at least one of the plurality of first sub-images is not selected as one of the plurality of target sub-images; and recognizing a target object in one of the plurality of target sub-images.

Abstract: Vehicle display device (10) including a display unit (50), installed in a cabin of a vehicle and having a display face oriented in a different direction from a direction of a driver (DR), configured to display an image depicting a surrounding area of the vehicle, and a mirror unit (55) installed in the cabin of the vehicle and configured to reflect some or all of an image area displayed on the display unit (50). A visible range of the surrounding area visible to the driver through an image of the display unit (50) reflected in the mirror unit (55) changes according to movement of a viewing position of the driver (DR) with respect to the mirror unit (55).

Abstract: To shorten a time required to predict collision with other vehicles, a collision prediction device includes: a detection unit configured to detect each of a front, a rear, and a side of other vehicles located around a vehicle from a captured image of one frame in which surroundings of the vehicle are imaged; and a determination unit configured to determine a likelihood of collision with the other vehicles based on a detection result of the detection unit. The determination unit determines that the likelihood of collision with the other vehicle of which only the front or only the rear is detected is high in the other vehicles of which one or more of the front, the rear, and the side are detected by the detection unit.

Abstract: A periphery monitoring device according to an embodiment includes: an acquisition unit configured to acquire captured image data from an image-capturing unit that captures a region including a road surface in a traveling direction of a vehicle and a region above the road surface; a storage unit configured to store the captured image data; and an image processing unit configured to display, in a case of displaying a peripheral image in the traveling direction of the vehicle on a display unit, a first region including a road surface on a under-floor portion of the vehicle or a road surface on a vicinity of the under-floor portion by using a corresponding image in past captured image data stored in the storage unit, and display a second region including the region above the road surface by using a corresponding image in current captured image data acquired by the acquisition unit.

Abstract: An image processing apparatus and an image processing method for processing far-infrared ray images are provided. Specific temperature ranges constituted by pixels having values falling within a temperature range characteristic of a specific target are extracted from a far-infrared ray image captured of the same target. Of the specific temperature ranges, those having motion vectors close to each other are integrated so as to generate integrated ranges. The integrated ranges having motion vectors close to a global motion vector indicative of the motion of the image as a whole are excluded to obtain excluded integrated ranges. Visible light ranges corresponding to the specific temperature ranges in the excluded integrated ranges are extracted from the visible light image to generate visible light motion ranges. The positions of the visible light motion ranges are corrected on the basis of the motion vector of the excluded integrated ranges as a whole.

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.