Abstract: Provided is a driving assistance device including a storage medium storing computer-readable commands and a processor connected to the storage medium, the processor executing the computer-readable commands to: recognize an external object near a mobile object; estimate toward which gaze candidate an occupant of the mobile object is directing his or her gaze from among a plurality of gaze candidates including gaze candidates existing on a structure of the mobile object and the external object; determine that the occupant visually recognizes a gaze candidate from among the plurality of gaze candidates when the occupant is estimated to direct his or her gaze toward the gaze candidate for a first predetermined period or more; and execute driving assistance for the mobile object based on a determination result.

Abstract: An image generation apparatus (20) includes an acquisition unit (210), a data processing unit (220), and a display (230). The acquisition unit (210) repeatedly acquires analysis data from at least one sending apparatus (10). The analysis data include at least type data and relative position data. The data processing unit (220) generates a reconfigured image by using the analysis data each time the data processing unit (220) acquires the analysis data, and displays the reconfigured image on the display (230). The reconfigured image includes an indication based on the type data in a position associated with the relative position data. The display may be a mark imitating an outer shape of a kind indicated by the type data, or may be an abstract mark.

Abstract: A projection based virtual window system of an aircraft includes a hull, a transparent lens, a projection system, and a controller. The hull is mounted to an interior wall of a passenger cabin of the aircraft. The hull is positioned over a hole in the interior wall. The transparent lens is secured between the hull and the interior wall and includes a touch sensing layer embedded within. The projection system displays an image on a projection surface of the hull. The controller receives instructions from the touch sensing layer and is further operable to provide the image to the projection system.

Abstract: A method for moving a vehicle to a component of an object at a distance therefrom, the vehicle having a navigation module which has a camera and an evaluation electronics, and an identification element is attached to the object in a predetermined position in such a way that it is recognized by the camera in a far range (Dmax) of the vehicle from the object, and a reverse driving line of the vehicle is calculated by the evaluation electronics from the perspective position of the camera in relation to the identification element. The method improves the approach of a vehicle to a stationary object. A close-range (Dmin) is defined in the direction of the object by a close-range radius (Rmin) and the reverse driving line is calculated up to a virtual pre-positioning point (SVi, SVii, SViii) lying on the close-range radius (Rmin).

Abstract: Disclosed herein are a driving assistance apparatus and a driving assistance method. The present disclosure is directed to allowing a driver to quickly and preferably respond to an emergency situation that is not found due to a sensor recognition error during autonomous driving of a vehicle. To this end, a driving assistance method according to the present disclosure includes monitoring a change in driving route of another vehicle traveling in front of a host vehicle through a camera of the host vehicle, receiving a guide route for autonomous driving through vehicle to everything (V2X) communication, and upon the received guide route not matching the driving route of the another vehicle, decelerating the host vehicle to a preset speed so that the host vehicle slowly travels along the guide route.

Abstract: A mirror assembly with a driver modeling system includes a camera unit for capturing image data, a user interface, a processor, and a memory. The memory includes instructions that, when executed by the processor, cause the processor to request from a driver on the user interface or extrapolate from the image data at least one physical characteristic. In response to receiving or extrapolating the at least one physical characteristic, assigning one out of a plurality of model profiles of a driver's head based on the at least one physical characteristic.

Abstract: Systems and methods for determining a position of a vehicle driver and adjusting one or more digital mirrors based on the determined position. According to examples, the position of the driver's eyes and/or head are sensed by one or more driver position sensors and determined by a driver position processor. An external camera captures images external to the vehicle, and a video processor crops, zooms, pans, and/or otherwise adjusts the images to be displayed based on the position of the driver's eyes and/or head.

Abstract: In an obstacle detection apparatus, the captured image of a vicinity of a vehicle from an imaging apparatus is acquired. A three-dimensional estimation image showing a three-dimensional position of a feature point in the captured image is generated, and a three-dimensional position of an object is estimated. An attribute image in which an object in the captured image is classified into one or more classes that include at least a road-surface class is generated. The three-dimensional estimation image and the attribute image are fused, the feature points and the classes are associated, and road-surface points associated with the road-surface class are extracted. Based on the road-surface points, a road-surface height in the vicinity of the vehicle is estimated. Based on the estimated road-surface height, the three-dimensional position of the object is corrected. Based on the three-dimensional position of the object, an obstacle in the vicinity of the vehicle is detected.

Abstract: A system and method are provided for automated cleaning of a loading container of a transport vehicle (e.g., dump truck, ejector, scraper), wherein the loading container includes controllable elements (e.g., hydraulic lift cylinders for a truck bin, an ejector blade) for transitioning between loaded and unloaded states. Characteristics of carryback material remaining in the loading container are estimated during a detected unloaded state of the transport vehicle, wherein whether to initiate an automated cleaning stage is determined based on at least one of the estimated characteristics. Upon determining to initiate the automated cleaning stage, performance of a cleaning routine is automatically directed during or in association with an unloading stage for the loading container via the controllable elements.

Abstract: A security system for an in-vehicle digital video recorder, comprising a sensor and a processing resource, the security system operative in: a first mode in which the sensor is operative at a first resolution; and a second mode in which the sensor is operative at a second resolution higher than the first resolution; the security system operative to receive signals from the sensor; wherein in the first mode the security system invokes the second mode responsive to a sensor signal exceeding a threshold value; and wherein in the second mode the processing resource monitors to determine if a security threat criterion is satisfied based on a received sensor signal.

Abstract: A glare mitigation module for a head-up display system is configured to transmit display light emitted from an illumination device therethrough. The glare mitigation module comprises an input surface through which the display light from the illumination device enters the glare mitigation module and an output surface through which the display light from the illumination device exits the glare mitigation module in a display direction. The glare mitigation module further comprises a diffractive optical element comprising a plurality of layers stacked successively between the input and output surfaces, with the plurality of layers arranged to transmit the display light of the illumination device therethrough and to diffract an external light that enters the glare mitigation module through the output surface. The diffractive optical element is arranged to diffract the external light in a diffracted direction away from eyes of an occupant.

Abstract: A captured image acquisition unit acquires a captured image showing work equipment from a camera provided at a work machine. A blade edge shadow generation unit generates a blade edge shadow obtained by projecting a blade edge of the work equipment on a projection surface toward a vertical direction. A display image generation unit generates a display image obtained by superimposing the captured image, the blade edge shadow, a left line, and a right line. The left line passes through a left end of the blade edge shadow and extends in a front-and-rear direction of the work equipment along the projection surface. The right line passes through a right end of the blade edge shadow and extends in the front-and-rear direction of the work equipment along the projection surface. A display control unit outputs a display signal for displaying the display image.

Abstract: A VR system for vehicles that may implement methods that address problems with vehicles in motion that may result in motion sickness for passengers. The VR system may provide virtual views that match visual cues with the physical motions that a passenger experiences. The VR system may provide immersive VR experiences by replacing the view of the real world with virtual environments. Active vehicle systems and/or vehicle control systems may be integrated with the VR system to provide physical effects with the virtual experiences. The virtual environments may be altered to accommodate a passenger upon determining that the passenger is prone to or is exhibiting signs of motion sickness.

Abstract: An actuator assembly of an actuation system for a closure member of a vehicle is provided. The actuator assembly includes an actuator housing including a sensor housing. The actuator assembly also includes an electric motor disposed in the actuator housing and configured to rotate a driven shaft operably coupled to an extensible member that is coupled to one of a body or the closure member for opening or closing the closure member. The actuator assembly also includes an actuator controller disposed in the sensor housing of the actuator housing and coupled to electric motor and an accelerometer configured to sense movement of the closure member. The actuator controller is configured to detect the movement of the closure member using the accelerometer. The actuator controller then controls the opening or closing of the closure member based on the movement of the closure member using the electric motor.

Abstract: A vehicle exterior device includes: a base member; a cover attached to the base member in a watertight manner, the cover and the base member forming a housing space therebetween, the cover having at least one opening; a functional unit including a holder located on the base member in the housing space, and a functional component supported by the holder with a leading end thereof being exposed through the opening; and a sealing portion located around the opening between an outer face of the functional unit and an inner face of the cover.

Abstract: The disclosure relates to a side mirror for recognition of left and right rear environment of a vehicle and the vehicle having the same. The side mirror includes: a camera provided on an exterior of a vehicle and configured to obtain an image of a rear environment; and a monitor provided inside the vehicle and configured to display the image obtained by the camera. The image displayed on the monitor has a focal length greater than a distance to a surface of the monitor from a user's location.

Abstract: An apparatus includes: a camera configured to view a driver of a vehicle; and a processing unit configured to receive an image of the driver from the camera; wherein the processing unit is configured to process the image of the driver to determine whether the driver is engaged with a driving task or not; and wherein the processing unit is configured to determine whether the driver is engaged with the driving task or not based on a pose of the driver as it appears in the image without a need to determine a gaze direction of an eye of the driver.

Abstract: A method for displaying and processing an image includes capturing the image, calculating one or more of a size, a position, and a field of view of a first region of interest (ROI) of the captured image, calculating one or more of a size, a position, and a field of view of a second ROI of the captured image, calculating a blur factor for blurring the first ROI, manipulating an image gradient of the first ROI pixel by pixel using the blur factor to reduce at least one of a brightness or a contrast of one or more pixels of the ROI, manipulating the second ROI by changing a color of one or more pixel values from the second ROI, and displaying the processed image on a display. An imaging system which includes an image signal processor (ISP) is also described.

Abstract: A display control device includes an image acquisition unit for acquiring an image capturing surrounding of a vehicle; an inclination information acquiring unit that acquires information about an angle of a road surface captured in the image relative to the inclination of the vehicle; a viewpoint detecting unit that acquires information related to eye position of an occupant; a reference plane setting unit that sets an angle of a reference plane as a reference for conversion of the image so that an image of the surroundings of the vehicle is displayed as seen from the eye position of the occupant; an image processing unit that performs image processing to convert an image of the surroundings of the vehicle into an image of the surroundings of the vehicle as viewed from the eye position of the occupant; and a display processing unit for controlling to display the processed image.

Abstract: The invention relates to a reality capture device for generating a digital three-dimensional representation of an environment, particularly for surveying or monitoring an infrastructure. The reality capture device comprises a laser scanner and a housing enclosing an internal space, which has a first and a second climate zone. The reality capture device has a common air circulation element to provide active air circulation through an air guiding arrangement, wherein the air guiding arrangement is configured in such a way that different air flow characteristics of the active air circulation are achieved with respect to different regions associated with cooling of the two different climate zones. The first climate zone is configured to be free of active air circulation and the second climate zone is configured to have active air circulation for directing air to the inside part of a corresponding heat dissipation element.

Abstract: An information processing system includes a controlling portion configured to, based on an image captured by an image capturing apparatus provided on a roadside, calculate a rectangular area including a vehicle in the image, the controlling portion being configured to calculate the position of a front face of the vehicle based on the rectangular area thus calculated and a trajectory set in the image.

Abstract: Dynamic camera image presentation in a vehicle is described herein. In an example, a computer system presents, on a display of a vehicle, first image data generated by a camera of the vehicle. The first image data is based at least in part on a first presentation property. The computer system determines a trigger to change the first presentation property and a second presentation property associated with a type of the trigger. The computer system presents, on the display, second image data generated by the camera. The second image data is presented based at least in part on the second presentation property.

Abstract: A display apparatus includes a display that displays an image captured by an imaging unit that captures an image of a view behind a moving object, a half mirror that reflects the view behind the moving object and disposed on an anterior surface of the display, one or more memories storing instructions, and one or more processors executing the instructions to switch a state between a mirror surface display state where a reflection image on the half mirror is displayed and an image display state where the image is displayed on the display and perform adjustment so that a viewing angle of the image displayed on the display and a viewing angle reflected by the half mirror are approximately the same as each other while switching the state between the mirror surface display state and the image display state.

Abstract: A design screen and at least one detection device with an image capturing device and a carrier medium are provided in an external lighting device for a motor vehicle. The carrier medium is a flat waveguide on which a coupling region and a decoupling region are provided. The carrier medium is adapted to the surface shape of the design screen. The coupling region and the decoupling region are each a holographic element. Light incident on the external lighting device from the surroundings is coupled into the carrier medium via the coupling region, is transported to the decoupling region by internal reflection in the waveguide, and is decoupled at the decoupling region. The image capturing device detects the decoupled light and provides image data which correlates to the detected light.

Abstract: A vehicular interior cabin monitoring system includes an interior rearview mirror assembly with a mirror head that accommodates a camera and a plurality of sets of light sources. The system includes a plurality of electronic switches. Each of the electronic switches (i) is connected in parallel across a respective set of light sources and (ii) is connected in series with at least one other set of light sources when at least one other electronic switch operates in its opened state. With each electronic switch operating in its respective opened state, electrical current provided by the current driver passes through the individual light sources of the plurality of sets of lights sources. The system is (i) operable to provide an occupant detection function for detecting an occupant present within an interior cabin of the vehicle and (ii) operable to provide a driver monitoring function for monitoring a driver of the vehicle.

Abstract: In a mobile object, a camera unit including an optical system that forms an optical image having a high-resolution region and a low-resolution region on a light receiving surface of an image pickup element and is disposed on a side of the mobile object, wherein the camera unit is installed to meet the following conditions: A tan(h/(d1+x))??v/2<?v<A tan(h/(d2+x))+?v/2, ?h_limit=max(A tan((w1?y)/(d1+x))??h/2, A tan((w2?y)/(d2+x))??h/2), ?h_limit<?h<?A tan(y/(d1+x))+?h/2, where ?v and ?h denote a vertical and a horizontal field angle of the high-resolution region, ?v and ?h denote a vertical and a horizontal direction angle of the optical axis of the optical system, x, y, and h denotes offsets, and w1 and w2 denote predetermined widths on the ground at the distances d1 and d2.

Abstract: A system for context based alerts includes an interface and a processor. The interface is configured to receive driver context data and surrounding context data. the processor is configured to determine a current state using alert context patterns and the driver context data and the surrounding context data, where the alert context patterns are determined based at least in part on correlation between events in historic event data and context data, and where the context data comprises historic driver context data and historic surrounding context data; and determine whether to alert a driver based at least in part on the current state.

Abstract: A digital video alarm human monitoring computer system includes a digital video analytics server including a digital video analytics computer. The digital video analytics computer has non-transitory memory configured to store machine instructions that are to be executed by the digital video analytics computer. The machine instructions when executed by the computer implement the following functions: receiving a digital video alarm monitoring parameter including a human characteristics tag; receiving analytics data in response to digital video data from a transmitting network camera; determining a digital video alarm monitoring status (e.g., an active status or an inactive status) in response to the human monitoring parameter and the analytics data; and transmitting or analyzing the digital video in response to the digital video alarm monitoring status being the active status.

Abstract: Systems, methods, models, and training for collision detection and near miss detection are discussed. Models are trained to identify collisions and near misses between two vehicles, based on how quickly a bounding box size changes for a vehicle represented in image data. Rapidly changing bounding box size is indicative of extreme proximity between vehicles, and thus indicative of collision or near-miss scenarios. Identifications of collisions or near misses can be reported to a remote operator, to send emergency assistance, perform driver evaluation, or alert other drivers in the area of risks.

Abstract: A method for calibrating an active FOV of a single camera, wherein from the calibration of the cameras active FOV, a coordinate matrix is obtained which remotely produces a virtual interpolation measurement network at any point within an image (a frame) extracted from a video stream (recorded by the single camera), while eliminating the need to be physically located at the actual location where the video stream has been recorded. According to an embodiment of the invention, the basis of the active FOV of a camera is the ability to obtain (measure) coordinates of the measurement points marked on a calibration board.

Abstract: There is provided mechanisms for visual object detection in a sequence of images. A method is performed by a visual object detector (200). The method comprises obtaining (S102) a sequence of images of a scene. The sequence of images at least comprises a current image of the scene and a previous image of the scene. The method comprises extracting (S104) a set of objects from the sequence of images by performing visual object detection in the sequence of images. Performing the visual object detection in at least part of the current image is conditioned on a set of conditions being fulfilled. The set of conditions at least pertains to an image-wise descriptor classification score computed for at least one of the previous image and the current image and pertaining to which type of content the scene comprises, and an image overlapping score pertaining to how much overlap in image area there is between the previous image and the current image.

Abstract: A recorder with an adjustable front lens includes a recorder main body and a camera. The camera is arranged on the recorder main body, and the recorder main body is electrically connected to the camera. The camera is capable of rotating relative to the recorder main body. By rotating the camera relative to the recorder main body, a user can rotate the camera to achieve the rotation of the lens, so that the user can record a scene in a desired direction, improving the practicality of the recorder and enhancing the user experience.

Abstract: A system for assisting a vehicle having a trailer includes a drone having at least one sensor adapted to collect sensor data. The drone is selectively attachable to the vehicle. A controller is in communication with the drone. The controller is adapted to selectively execute an assessment mode, an operational mode, and a delivery mode, the operational mode being executed after the assessment mode is completed. The drone is adapted to conduct a set of initial checks during the assessment mode, the drone being adapted to fly around the trailer and/or the vehicle during the assessment mode. The drone is attached to the vehicle during the operational mode. The delivery mode is executed upon arrival of the vehicle at a predefined destination, the drone being adapted to be in flight during the delivery mode.

Abstract: A system and method for performing visual odometry is disclosed. In aspects, the system implements methods to generate an image pyramid based on an input image received. A refined pose prior information representing a location and orientation of the autonomous vehicle can be generated based on one or more images of the image pyramid. One or more seed points can be selected from the one or more images of the image pyramid. One or more refined seed representing the one or more seed points with added depth values can be generated. One or more scene points can be generated based on the one or more refined seed points. A point cloud can be generated based on the one or more scene points.

Abstract: Methods and systems for tamper reduction for camera systems. One example system includes a camera with a first field of view configured to operate in a low-power mode and an active mode, an energy wave sensor with a second field of view, and an electronic processor. The electronic processor is configured to monitor, via the energy wave sensor, for an object within the second field of view and determine an object type of the object. In response to determining that the object type is a vehicle, the electronic processor transitions the camera from the low-power mode to the active mode and captures, via the camera, an image of the vehicle. In response to determining that the object type is a person, the electronic processor performs a tamper-monitoring action when the person is within a first predetermined range of a plurality of predetermined ranges of the system.

Abstract: The present disclosure relates to a vehicle. The vehicle includes a first set of cameras, including a first subset of cameras facing to the front of the vehicle; a second set of cameras, with focal lengths less than those of the first set of cameras, the second set of cameras including a second and a third subset of cameras, the second subset of cameras facing to the front of the vehicle, and third subset of cameras facing to a side front and/or a side of the vehicle; and a third set of cameras, with focal lengths less than those of the second set of cameras, the third set of cameras including a fourth and a fifth subset of camera, the fourth subset of cameras facing to the front of the vehicle, and the fifth subset of camera facing to the side front and/or side of the vehicle.

Abstract: A system and method are described for assessing accuracy of a virtual horizon generated by a vehicle-based lidar system as the vehicle traverses a route of travel. Travel route topology data is obtained by a vehicle vehicle-mounted global positioning system-assisted inertial measurement unit (GPS/IMU) data. A reference virtual horizon at points along the route of travel is obtained from the GPS/IMU data and is compared with the virtual horizon generated by the lidar system for the same points to assess the accuracy of the virtual horizon generated by the lidar system.

Abstract: A method and system are provided to facilitate statement acquisition and verification pertaining to an incident. One or more processors are operationally coupled to one or more software modules, configured to: receive audio data between a suspect and an officer at a portable radio, detect a pre-Miranda statement made by the suspect within the audio data; detect a Miranda warning made by the officer within the audio data; detect a waiving of Miranda rights by the suspect within the audio data; detect a post-Miranda statement by the suspect within the audio data after the waiving of Miranda rights; determine when a degree of semantic similarity between the pre-Miranda statement and the post-Miranda statement fails to satisfy an admissibility condition; generate one or more questions to induce the suspect to repeat the pre-Miranda statement; and present the one or more questions to an electronic user interface.

Abstract: A control apparatus for an object moving in a specific zone while recognizing one or more markers deployed in the specific zone by a camera. The control apparatus is configured to execute detecting whether or not that the specific zone or surroundings of the object is darker than a specified brightness, and when detecting that the specific zone or the surroundings of the object is darker than the specified brightness, operating a lighting device installed in the object to illuminate the one or more markers located around the object.

Abstract: A camera system for a vehicle includes a camera having a housing defining an interior space, a memory device in the interior space, a processor in the interior space coupled to the memory device, a lens exposed on an exterior of the housing, an image sensor in the interior space coupled to the memory device, and a sensor coupled to the processor. The camera system also includes an attachment mechanism configured to secure the camera system to the vehicle. The camera is configured to move between a closed position and an open position. The memory device includes instructions configured to cause the processor to determine the camera is in the open position in response to an output signal by the sensor, and to cause the camera system to record the video captured by the image sensor in response to the camera being in the open position.

Abstract: A vehicle mirror assembly is provided. The vehicle mirror assembly, for example, includes a housing attachable to a vehicle. The vehicle mirror assembly also includes a reflective surface coupled to the housing or covering an opening in the housing. The vehicle mirror assembly further includes a movable sensor coupled to the housing or contained in a space formed by the housing and reflective surface. The vehicle mirror assembly further includes an actuator assembly configured to modify an orientation, a position, or a combination thereof of the movable sensor in response to a control signal.

Abstract: A processor of an object detection device is configured to search for a pair of coordinates associated with a disparity approximately equal to a target disparity satisfying a predetermined condition in a second direction of a disparity map, update a first pair of coordinates to the found pair of coordinates, and calculate a height of an object corresponding to the target disparity on the basis of the first pair of coordinates. In the disparity map, a disparity acquired from a captured image is associated with a pair of two-dimensional coordinates formed by a first direction and the second direction intersecting the first direction. When a second pair of coordinates associated with a disparity approximately equal to the target disparity is present within a predetermined interval from the first pair of coordinates, the processor is configured to update the first pair of coordinates to the second pair of coordinates.

Abstract: A vehicular video mirror system includes a display device having a video display screen accommodated by a mirror head of an interior rearview mirror assembly. The vehicular video mirror system is operable in a mirror mode or a display mode. A vehicle-mounted rearward-viewing digital camera is disposed at the vehicle and a trailer-mounted rearward-viewing analog camera is disposed at a trailer that is configured to be hitched to the vehicle. With no trailer hitched to the vehicle, and when the vehicular video mirror system operates in the display mode, the video display screen displays video images derived from image data captured by the vehicle-mounted rearward-viewing camera. With the trailer hitched to the vehicle, and when the vehicular video mirror system operates in the display mode, the video display screen displays rearward-view video images derived from image data captured by the trailer-mounted rearward-viewing camera.

Abstract: An object detector detects, for each of environmental sensors mounted on a vehicle, an object in an area around the vehicle from each piece of time-series environmental data generated by the environmental sensor; identifies a blind spot that is not represented in any of the pieces of environmental data respectively generated by the environmental sensors; selects, from the environmental sensors, an environmental sensor generating environmental data that can be omitted in detection of the object, based on a travel condition of the vehicle; requests blind spot data representing the blind spot from an external device equipped with an external sensor capable of generating the blind spot data; and stops detection of the object from environmental data generated by the selected environmental sensor and detects an object in the blind spot from obtained blind spot data, when the blind spot data is obtained from the external device.

Abstract: Disclosed herein are methods, systems, and apparatus for automated license plate recognition and methods for training a machine learning model to undertake automated license plate recognition. For example, a method can comprise dividing an image or video frame comprising a license plate into a plurality of image patches, determining a positional vector for each of the image patches, adding the positional vector to each of the image patches and inputting the image patches and their associated positional vectors to a text-adapted vision transformer. The text-adapted vision transformer can be configured to output a prediction concerning the license plate number of the license plate.

Abstract: An analytical recognition system includes a video camera, an antenna, and a data analytics module. The video camera is configured to capture video data. The antenna is configured to capture mobile communication device data. The data analytics module is configured to correlate the video data and the mobile communication device data to generate a profile of a person associated with the video data and the mobile communication device data. The profile has profile data including any one or a combination of the captured video data and the captured mobile communication data.

Abstract: An information processing device includes: an image acquisition unit configured to acquire an image captured by an imaging unit mounted on a vehicle; a target detection unit configured to detect a target region including a target in the acquired image; a classification identification unit configured to identify classification including a type of the detected target and a size of the detected target region; and a region determination unit configured to determine a region obtained by adding a margin corresponding to the identified classification to the target region as an image processing region.

Abstract: A panoramic system can receive content (e.g., live video) recorded in a landscape orientation and use a portrait dynamic crop window to display a portrait area of the received content. The panoramic system can further display the content in a landscape dynamic crop window that has a moveable user interface control that can pan the portrait crop window as the content plays in one or both of the dynamic crop windows.

Abstract: A control device for automatic stop of a vehicle, wherein the vehicle includes a radar and a sonar, the radar detecting a distance to an obstacle and detecting a height of the obstacle from a road surface, the sonar detecting the distance to the obstacle and detecting a signal level of a reflected wave from the obstacle. The control device includes a control unit having a processor configured to output a signal for triggering the automatic stop of the vehicle when the signal level of the reflected wave from the obstacle is greater than a predetermined threshold, wherein the control unit is configured to change the predetermined threshold for triggering the automatic stop of the vehicle between a first predetermined threshold and a second predetermined threshold based on the height of the obstacle detected by the radar.

Abstract: A method performed by an annotation system for supporting annotation of objects in image frames of a traffic environment-related video sequence. The annotation system determines an annotation of an object in an image frame of the video sequence, which annotation comprises at least a first property of the object; tracks the object through the video sequence; and assigns the at least first object property to the object in one or more previous and/or subsequent image frames of the video sequence. The annotation system further identifies at least a first image frame based on one or more criterion. Moreover, the annotation system appoints the at least first identified image frame as annotation data.