Abstract: A shock absorbing device for reducing a vibration of an image capturing device on a moving vehicle is provided and includes a case, a mounting seat movably disposed inside the case, a first supporting component, a second supporting component and a resilient assembly. The image capturing device is connected to the mounting seat. A first end of the first supporting component and a first end of the second supporting component are respectively movably connected to the case and the mounting seat. A second end of the first supporting component and a second end of the second supporting component are connected to the moving vehicle. The resilient assembly includes a first resilient component located between the mounting seat and the first supporting component, and a second resilient component located between the mounting seat and the case. Furthermore, an image capturing system having the aforementioned shock absorbing device is also provided.

Abstract: A peccancy monitoring system and a peccancy monitoring method are provided in the present application. The peccancy monitoring system includes: a first camera, configured to monitor whether a peccancy vehicle is present in a designated area and generate alarm message when the peccancy vehicle is present; a control unit, connected to the first camera and configured to trigger the second camera to shoot according to the alarm message; a second camera, connected to the control unit and configured to shoot the peccancy vehicle to acquire a video of the vehicle and an image of the vehicle, here the video of the vehicle is a video containing a license plate of the peccancy vehicle and the image of the vehicle is an image containing the license plate of the peccancy vehicle. By using the technical solutions in the present application, the road can be monitored after the school bus is docked.

Abstract: Conventionally, a method in which pieces of point group information for use in position matching between a white line position detected by an object detection sensor and a white line position on a map are extracted from the white line positions according to a travel environment, has not been taken into account. In the present disclosure, a point group extraction condition is changed according to change in the travel environment so that: a process of position matching that exhibits robustness with respect to change in the travel environment can be realized; and an own position and a white line position existing at a long distance from an own vehicle can be detected with high accuracy.

Abstract: A glare control system for a vehicle comprises a rearview assembly comprises a display element configured to display scenes exterior to the vehicle; an ambient light sensor configured to determine levels of ambient light; a blind spot module comprising at least one sensor and operable to detect other vehicles located in a field of view to the side and rear of the vehicle and in communication with the rearview assembly; an electro-optic element configured to selectively darken and clear upon receipt of appropriate instructions; and a controller in communication with the blind spot module, the ambient light sensor, and the electro-optic element, the controller configured to selectively cause the dimming of the electro-optic element. In response to the receipt of appropriate inputs from the blind spot module and the ambient light sensor, the controller is configured to transmit instructions to the electro-optic element.

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 method of enhancing positioning of a moving vehicle based on visual identification of visual objects, comprising obtaining from a location sensor a global positioning and a movement vector of a moving vehicle, capturing one or more images using one or more imaging devices mounted on the moving vehicle to depict at least partial view of a surroundings of the moving vehicle, analyzing the image(s) to identify one or more visual objects having a known geographical position obtained according to the global positioning from a visual data record associated with a navigation map, analyzing the image(s) to calculate a relative positioning of the moving vehicle with respect to the identified visual object(s), calculating an enhanced positioning of the moving vehicle based on the relative positioning and applying the enhanced positioning to a navigation system of the moving vehicle.

Abstract: A vehicular video mirror system includes a video display screen disposed in a mirror head. The system includes a vehicle-mounted rear backup camera and a trailer-mounted rearward viewing camera. The trailer-mounted camera includes an imaging array with a first subset of pixels representative of an upper rearward-view region of the field of view and a second subset of pixels that represents a lower rearward-view region of the field of view. With the trailer hitched to the vehicle and responsive to the vehicle being set for forward propulsion, the video display screen displays images derived from the first subset of pixels and not from the second subset of pixels. With the trailer hitched to the vehicle and responsive to the vehicle being set for rearward propulsion, the video display screen displays images derived from the second subset of pixels and not from the first subset of pixels.

Abstract: A camera arm device for a mirror replacement system for a motor vehicle having a boom element, which has at least one camera (30) of the mirror replacement system is provided. A. housing, which cooperates with an end portion of the boom element in order to hold the boom element. There is arranged in the housing a guide groove through which the boom element extends and along which the boom element is movably mounted.

Abstract: Disclosed in the present invention is a method for automatically avoiding or mitigating a potential collision of an external moving object with a motor vehicle, the method comprising: detecting whether a potential collision of the motor vehicle with the external moving object exists under a predetermined activation condition; and if it is determined that a potential collision exists, automatically changing a movement characteristic of the motor vehicle without changing a direction currently indicated by a steering wheel when the motor vehicle meets a predetermined movement condition, in order to avoid or mitigate the occurrence of the potential collision. Also disclosed are a corresponding control system for a motor vehicle, a corresponding computer-readable storage medium and a corresponding motor vehicle.

Abstract: A control system (1) for controlling operation of a host vehicle (2). The control system (1) includes a controller (4) having a processor (5) and a memory (6). The processor (5) is operable to receive a signal (S1) from a sensor (7) and to process the signal (S1) to identify a target vehicle (3). The processor (5) determines a vertical offset (?V) between the host vehicle (2) and the target vehicle (3). A target follow distance (D1) may be set based on the determined vertical offset (?V). Also provided is a vehicle (1) incorporating the control system (1); a related method of controlling a vehicle (2); and a non-transitory computer-readable medium.

Abstract: A method for processing images is described, wherein a scenery is recorded as at least one raw image by at least one optical capture means mounted on a vehicle, and wherein image data of the scenery are mapped incompletely and/or erroneously in the subsequently rendered render image in at least one area. In order to provide a user of one or more cameras on a motor vehicle, that have visibility restrictions with a more agreeable visual experience, the method includes identifying the area(s) of incomplete and/or erroneous mapping in the render image on the basis of existing visibility restrictions, generating masks that enclose the area(s) of incomplete and/or erroneous mapping as masked areas, reconstructing image data in unmasked areas of the render image by means of digital inpainting and synthesizing together with the masked areas to produce a correction image, and displaying the completed and/or debugged correction image.

Abstract: An edge device for monitoring safety of a highway work zone is disclosed. The edge device includes at least one camera, one or more processors, and memory. The at least one camera is configured to capture images in sequence. The memory stores computer-executable instructions that, when executed, cause the one or more processors to: perform vehicle detection over an input of a data stream of the images, from the at least one camera, utilizing just-in-time processing; determine a level of safety by tracking vehicles detected and performing a time sequence analysis of the vehicles; and send a signal to one or more assisted reality devices indicating the level of safety thereto.

Abstract: A device includes a vehicle glazing, including, in a peripheral zone, a through-hole including an insert and a thermal camera.

Abstract: A sensor pod system includes one or more sensor pods with a plurality of sensors configured to collect data from an environment. A sensor pod may have an effective field of view created by individual sensors with overlapping fields of view. The sensor pod system may include sensors of different types and modalities. Sensor pods of the sensor pod system may be modularly installed on a vehicle, for example, an autonomous vehicle and collect and provide data of the environment during operation of the vehicle.

Abstract: A display system suitable for a vehicle is provided. The display system suitable for the vehicle includes a center console, a processing device, and a display device. The center console is configured to generate a power sequence according to a customization setting, and the power sequence corresponds to content of a data table. The processing device is configured to receive the power sequence and decodes the power sequence through a lookup table to generate a decoding result. The lookup table includes the content of the data table. The display device is coupled to the processing device and is configured to display a display image according to the decoding result.

Abstract: A camera device includes a first filter configured to restrict a transverse wave component of incident light having light of a plurality of different wavelength bands generated based on birefringence in a car film from a vehicle to which the car film is adhered, a lens on which a vertical wave component of the incident light transmitted through the first filter is incident, a second filter configured to restrict a vertical wave component of the incident light in a visible region among the vertical wave component of the incident light imaged by the lens, and an imaging element configured to image the vehicle as a subject based on a vertical wave component of the incident light in a near-infrared region transmitted through the second filter.

Abstract: Methods and systems for dynamically adjusting a data rate in a wireless connection are provided. The systems include a source device and a sink device configured to establish a wireless connection. The quality of the wireless connection is monitored. Should the quality degrade so as to satisfy a triggering event, the source controller can adjust the data rate, e.g., the bit rate or sample rate, used to reduce the number of dropped, lost, or retransmitted packets. The reduction in bit rate and/or sample rate results in packets of decreased size and additional unused air-time. The unused air-time provided can be filled with at least a portion of a frame of data originally associated with another packet. This will result in at least one packet being free to include additional retransmission packets. Additionally, should the quality of the connection improve, the source controller can adjust increase the data rate accordingly.

Abstract: A driving assistance system includes an illumination apparatus and a controller. The illumination apparatus is configured to draw an avoidance pattern PTN on a road surface such that it indicates a lane in which the driver's vehicle is to travel or a direction in which the driver's vehicle is to travel. Upon detecting, by a sensor or communication, an obstacle in front of the driver's vehicle, the controller instructs the illumination apparatus to draw the avoidance pattern PTN.

Abstract: A vehicle-mounted apparatus is a vehicle-mounted apparatus mounted in a vehicle, and includes a measuring unit that measures characteristics of a transmission line in a vehicle-mounted network mounted in the vehicle, and an identifying unit that identifies the transmission line based on the characteristics measured by the measuring unit.

Abstract: An intelligent automobile networking system, which includes a cloud server, a dash camera installed on a vehicle communicatively coupled to the cloud server for recording the video and position information related to the driving of the vehicle, an IP camera installed on a place exclude the dash camera and the cloud server to record surveillance images of that place, and a mobile device is communicatively coupled to the cloud server, the dash cam and the IP camera, wherein, two-way information between the vehicle and the field installed with the IP camera can be received, shared and commonly managed, and the system App is cross-platform installed on the cloud server, the mobile terminal and the dash camera.

Abstract: A method for analyzing one or more conditions of a transportation pathway includes obtaining, using an imaging device of an inspection system, image data reproducible as a plurality of images of the transportation pathway, each of the plurality of images being reproducible as an image of a portion of the transportation pathway, each portion of the transportation pathway having an associated location along a length of the transportation pathway, analyzing, using one or more processors of the inspection system, the image data to determine a first plurality of metrics indicative of a condition of the transportation pathway at each of the associated locations, and generating a first graph, using the determined first plurality of metrics, that is indicative of the condition of the transportation pathway at each of the associated locations.

Abstract: A sensor integration module for detecting vehicle interior information and an operation method thereof are provided. The sensor integration module includes: a first sensor enabled based on first operation information and providing a sensing result as first sensing information; a second sensor enabled based on second operation information and providing a sensing result as second sensing information; a first communication device that transmits and receives information with electronic devices in a vehicle; and a controller that generates the first and second operation information for selectively enabling the first and second sensors based on information provided from the first communication device and provides the first communication device with the result determined based on the first and second sensing information.

Abstract: A vehicle is provided. The vehicle includes a plurality of sensors including a first sensor and a second sensor. The vehicle also includes a vehicle controller. The vehicle controller is programmed to (i) collect a first plurality of sensor information observed by the first sensor during operation of the vehicle; (ii) analyze the first plurality of sensor information to detect a gap along the vehicle's path of travel; (iii) compare one or more dimensions of the gap to one or more dimensions of the vehicle; (iv) receive a second plurality of sensor information from the second sensor; and (v) control the vehicle to travel through the gap based on the comparison of the one or more dimensions of the gap to the one or more dimensions of the vehicle and the second plurality of sensor information from the second sensor.

Abstract: A peripheral image generation device acquires a plurality of camera images obtained from a plurality of cameras each of which captures a periphery of the vehicle. The peripheral image generation device stores a traveling direction camera image that is a part or all of images included in the plurality of camera images and captured at least in a traveling direction of the vehicle. The peripheral image generation device generates an underfloor transparent image that is a composite image transmitting a bottom of the vehicle based on the plurality of camera images and the traveling direction camera image.

Abstract: A trailer angle determination system for a vehicle is provided. The trailer angle determination system has a sensing unit for sensing a trailer connected to the vehicle and an evaluation unit. The sensing unit is arranged outside of the center of the vehicle and toward the trailer, and the distance between the sensing unit and the center of the vehicle is known. The trailer has symmetrical feature pairs with respect to a longitudinal axis of symmetry of the trailer. The sensing unit is designed to sense the symmetrical feature pairs of the trailer. The evaluation unit is designed to determine the angle between the trailer and the vehicle based on the sensed symmetrical feature pairs of the trailer and the known distance between the sensing unit and the center of the vehicle.

Abstract: A vehicle compound-eye camera includes: a plurality of cameras arranged to be spaced apart from each other in a predetermined direction and disposed such that respective maximum image-pickup ranges of the plurality of cameras are partially shifted from each other in the predetermined direction; and a processor configured to set an overlapping image-pickup range in which each of the plurality of cameras picks up an image of a same target object from a different viewpoint. The processor is configured to set an image-pickup range of one of the cameras disposed on one end in the predetermined direction to have a relatively wide angle. The processor is configured to set an image-pickup range of another of the cameras disposed on the other end in the predetermined direction to have a relatively narrow angle.

Abstract: A driver assistance system includes a first measuring device for determining the distances to a water surface, which includes at least two distance sensors. A first distance sensor measures a first distance to a water surface, in that the distance is determined perpendicularly downward from the first sensor to the water surface, and the second distance sensor measures a second distance to a water surface, in that the distance is also determined perpendicularly downward from the second sensor to the water surface. A second measuring device determines an instantaneous pitch angle of the vehicle. A processing unit is coupled to the first and second measuring devices. The processing unit determines an instantaneous water surface plane as a function of the first distance, the second distance, and the instantaneous pitch angle of the vehicle. A display unit indicates the instantaneous water surface plane in relation to the vehicle.

Abstract: Disclosed are a system and method for controlling a vehicle. The system includes a vehicle that obtains driving information and a blind spot image, and transmits the driving information and the blind spot image, and a wearable device that receives the driving information and the blind spot image from the vehicle, and outputs the blind spot image based on the driving information and gaze information of a driver.

Abstract: A driving assist system executes driving assist control for avoiding a collision with a target ahead of a vehicle. The driving assist control operates when the target exists within an assist area. A crossing target is the target crossing a roadway area ahead of the vehicle from a first side toward a second side. The assist area for the crossing target is divided into a plurality of divided assist areas including a first assist area located on the first side as viewed from the vehicle and a second assist area located on the second side as viewed from the vehicle. When the crossing target exists in the second assist area, the driving assist system decreases a control strength of the driving assist control as compared with a case where the crossing target exists in the first assist area.

Abstract: A recognition device includes an acquisition unit configured to acquire a first detection result from a LIDAR that detects a target present in a traveling direction of a vehicle and to acquire a second detection result from a camera disposed so that the detection range overlaps that of the LIDAR, and a recognition unit configured to recognize a target present around the vehicle on the basis of the first detection result and the second detection result, in which the recognition unit executes exclusion processing of excluding a target, that satisfies all of a first condition indicating that a target is present within a predetermined distance from the vehicle, a second condition indicating that a target is detected by the LIDAR and is not detected by the camera, and a third condition indicating that a width of a target is equal to or less than a predetermined value and a detection duration thereof is equal to or less than a predetermined time, from a result of recognition recognized as a target present around th

Abstract: An AR system that leverages a pre-generated 3D model of the world to improve rendering of 3D graphics content for AR views of a scene, for example an AR view of the world in front of a moving vehicle. By leveraging the pre-generated 3D model, the AR system may use a variety of techniques to enhance the rendering capabilities of the system. The AR system may obtain pre-generated 3D data (e.g., 3D tiles) from a remote source (e.g., cloud-based storage), and may use this pre-generated 3D data (e.g., a combination of 3D mesh, textures, and other geometry information) to augment local data (e.g., a point cloud of data collected by vehicle sensors) to determine much more information about a scene, including information about occluded or distant regions of the scene, than is available from the local data.

Abstract: A system for determining when additional information is needed by a passenger with color deficient vision within a vehicle includes a plurality of perception sensors within the vehicle adapted to collect data related to a physical identity of a primary object and to communicate the data related to the physical identity of the primary object, via a communication bus, to a data processor within the vehicle, the data processor adapted to determine that the physical identity of the primary object may be unclear to a passenger with color deficient vision based on the data related to the physical identity of the primary object, and that assistance should be provided to the passenger with color deficient vision to aid the passenger with color deficient vision in identifying the primary object.

Abstract: The invention relates to a method, to a device, and to a computer-readable storage medium with instructions for monitoring the movement of a transportation device. In one embodiment, first, information about the trajectory of the transportation device is received by a mobile device. The trajectory is then displayed on a display unit of the mobile device in the form of an augmented reality representation. In response thereto, an input of the user of the mobile device for influencing the trajectory is detected. Finally, information is transmitted to the transportation device on the basis of the input of the user.

Abstract: In one aspect, a headset assembly may include a headset housing, at least one processor, and a microphone boom coupled to the headset housing. The microphone boom may include an infrared (IR) sensor on a distal end segment, where the IR sensor may be accessible to the at least one processor. The microphone boom may further include at least one microphone accessible to the at least one processor. Additionally, the headset assembly may include storage accessible to the at least one processor. The storage may include instructions executable by the at least one processor to receive input from the IR sensor and, based on the input from the IR sensor, perform mouth feature extraction. The instructions may also be executable to execute at least one function based on the mouth feature extraction.

Abstract: A vehicular exterior rearview mirror control system is configured to attach at a side of a vehicle and includes a mirror assembly having a variable reflectance mirror reflective element. The vehicular rearview mirror control system processes image data captured by a rear backup camera of the vehicle. The rearview mirror control system, via processing a first subset of image data captured by the rear backup camera, determines ambient light rearward of the vehicle. The rearview mirror control system, via processing a second subset of received image data captured by the rear backup camera, determines glare light emanating from a headlight of another vehicle following the equipped vehicle. The first subset of captured image data is different than the second subset of captured image data. A door module unit of the vehicle controls dimming of the variable reflectance mirror reflective element based at least in part on the determined glare light.

Abstract: A high-definition map building method includes determining a key node describing information about a key position of a lane attribute change, determining a key node layer based on a position of the key node and an attribute of the key node, and determining a high-definition map based on a navigation map and the key node layer. The navigation map provides road-level navigation information, and the high-definition map provides lane-level navigation information.

Abstract: A system for real-time video streaming for a vehicle includes a camera system configured to capture videos of an environment surrounding the vehicle. The system also includes a vehicle communication system configured to communicate with a remote server and a vehicle controller in electrical communication with the camera system and the vehicle communication system. The vehicle controller is programmed to determine a system enablement state. The vehicle controller is further programmed to determine a camera system configuration in response to determining that the system enablement state is a system enabled state. The vehicle controller is further programmed to capture at least one video frame using the camera system based at least in part on the camera system configuration. The vehicle controller is further programmed to transmit the at least one video frame to the remote server using the vehicle communication system.

Abstract: An autonomous speed control function for autonomously controlling a traveling speed of the vehicle and an autonomous steering control function for autonomously controlling steering of the vehicle include executing first autonomous control where, when an external situation of the vehicle is recognizable from a captured image by a camera on the vehicle, the vehicle is autonomously controlled using information recognized from the captured image; executing second autonomous control in which information indicating the external situation of the vehicle is acquired from stored map information provided in the vehicle and the vehicle is autonomously controlled using the acquired information; specifying an unrecognizable area in which the external situation of the vehicle is unrecognizable from the captured image; and when the unrecognizable area is present on a travel route of the vehicle, switching from the first autonomous control to the second autonomous control before the vehicle enters the unrecognizable area.

Abstract: A vehicle position and velocity estimation system based on camera and LIDAR data is disclosed. An embodiment includes: receiving input object data from a subsystem of a vehicle, the input object data including image data from an image generating device and distance data from a distance measuring device, the distance measuring device comprising one or more LIDAR sensors; determining a first position of a proximate object near the vehicle from the image data; determining a second position of the proximate object from the distance data; correlating the first position and the second position by matching the first position of the proximate object detected in the image data with the second position of the same proximate object detected in the distance data; determining a three-dimensional (3D) position of the proximate object using the correlated first and second positions; and using the 3D position of the proximate object to navigate the vehicle.

Abstract: Systems and methods are provided herein for creating and building a model of a unique infrastructure, such as a parking structure. The model may be created through the identification of various triggers by a vehicle traversing the infrastructure. The triggers may include, for example, sensors or other devices capable of sensing the vehicle within the infrastructure. The triggers may also be information received from the vehicle itself. Based on the triggers, it may be inferred that various places exist throughout the infrastructure. For example, it may be inferred through two subsequent triggers that a place exists between the two triggers. The place may be added to the model of the infrastructure in between the two triggers. The model may continue to grow in this manner.

Abstract: A vehicle position estimation device is configured to acquire a distance from a road edge to a subject vehicle using at least one of an imaging device or a distance measuring sensor, acquire position information of lane boundary lines detected by analyzing the images captured by the imaging device; acquire map information including a lane quantity of a traveling road of the subject vehicle from a map storage, calculate, as a roadside area width, a lateral direction distance between an outermost detection line, which is an outermost boundary line among the detected boundary lines, and the road edge, and specify a traveling lane of the subject vehicle based on (i) the distance from the road edge to the subject vehicle, (ii) the roadside area width, and (iii) the lane quantity included in the acquired map information.

Abstract: A vehicle sound service system and a method thereof are provided. The vehicle sound service system includes a service server including a communication device that may be configured to transmit and receive data with a mobile terminal loaded with a camera and a processing device electrically connected with the communication device. The processing device may be configured to receive an image transmitted from the mobile terminal using the communication device, when the mobile terminal captures the image around a vehicle using the camera and transmits the image, to analyze the received image to estimate a driving place, and to select a sound that matches the estimated driving place and transmits the selected sound to the mobile terminal.

Abstract: Disclosed are techniques for employing deep learning to analyze radar signals. In an aspect, an on-board computer of a host vehicle receives, from a radar sensor of the vehicle, a plurality of radar frames, executes a neural network on a subset of the plurality of radar frames, and detects one or more objects in the subset of the plurality of radar frames based on execution of the neural network on the subset of the plurality of radar frames. Further, techniques for transforming polar coordinates to Cartesian coordinates in a neural network are disclosed. In an aspect, a neural network receives a plurality of radar frames in polar coordinate space, a polar-to-Cartesian transformation layer of the neural network transforms the plurality of radar frames to Cartesian coordinate space, and the neural network outputs the plurality of radar frames in the Cartesian coordinate space.

Abstract: Systems and methods are presented for providing dynamic in-vehicle content. A path of a vehicle is predicted, and an intersection is identified along the predicted path. Based on vehicle status data, a determination is made as to whether the vehicle is decelerating along the predicted path within a threshold distance of the intersection. In response to determining that the vehicle is decelerating along the predicted path within the threshold distance of the intersection, a further determination is made as to whether a geographical location of the intersection is associated with a content item. In response to determining that the geographical location of the intersection is associated with the content item, the content item is presented via an entertainment device of the vehicle.

Abstract: Systems and methods for using machine learning classifiers to identify anomalous driving behavior in vehicle driver data obtained from vehicle telematics devices are provided. In one example, a vehicle telematics device receives vehicle driver data from sensors, identifies anomalies in the vehicle driver data by using an unsupervised machine learning process, calculates a driver risk score by using the anomalies identified in the vehicle driver data, and transmits the risk score to a remote server system. In another example, a server system receives vehicle driver data from a plurality of vehicle telematics devices, identifies anomalies in the vehicle driver data by using an unsupervised machine learning process, and calculates a driver risk score by using the anomalies identified in the vehicle driver data.

Abstract: A vehicle service system comprising a calibration apparatus, which is designed to calibrate an ADAS sensor of a vehicle, a calibration device and a position detection system, which comprises, in turn, two optical apparatuses, which are arranged on opposite sides of the vehicle and are configured to capture first images containing images of the vehicle. The optical apparatuses have respective positioning targets, which are oriented so as to face the calibration apparatus. The position detection system further comprises two cameras, which are mounted on the calibration apparatus so as to be arranged in lateral positions on opposite sides with respect to the calibration device. The two cameras are optically oriented towards the optical apparatuses so as to capture the images of the positioning targets.

Abstract: An embodiment related to a system, comprising: a processor; a sensor; an image sensor; a display; and a communication module; wherein the processor is configured to measure a physiological characteristic of a passenger of a vehicle; capture an image of the passenger of a vehicle; process the physiological characteristic of the passenger and determine whether the physiological characteristic is outside a predefined threshold; process the image, via the processor comprising an image processing algorithm and artificial intelligence, for extracting a feature; detect the health emergency and a severity of the health emergency based on the feature extracted; generate an alert signal; display the alert signal and at least one of a detail of the health emergency of the passenger; and an action based on the health emergency and a severity of the health emergency. In an embodiment, the system is configured to be a component of the vehicle.

Abstract: The invention relates to an attachment device for at least one objective lens and/or at least one eyepiece of a long-range optical device, in particular in the form of a riflescope, a telescope or a binocular, wherein the attachment device comprises at least one window, which is transparent at least in a visible spectral range, as well as at least one electrical heating device for the window.

Abstract: Aspects relate to methods and systems for parking a vehicle. An exemplary system includes a first plurality of sensors located on the vehicle and configured to detect first sensor data as a function of objects over a first height range, a second plurality of sensors located on the vehicle and configured to detect second sensor data as a function of objects over a second height range at least partially greater than the first height range, and a computing device configured to receive the first sensor data from the first plurality of sensors and the second sensor data from the second plurality of sensors, and determine the space proximal the vehicle is suitable for parking the vehicle as a function of the first sensor data, the second sensor data, and a height of the vehicle.

Abstract: A telematics camera includes a housing, including a plurality of sensors; a camera configured to capture an image of a scene; a communication input-output; and an input port configured to be connected in communication with an electronic engine control module of a vehicle.