Abstract: A parking assist apparatus 1 of the present invention assists parallel parking of an own vehicle 21. The parking assist apparatus 1 includes: a first route calculation unit 11 configured to calculate a first route for moving the own vehicle 21 from a target parking position P1 to a virtual departure position P3 based on a parking space and a constraint condition of own vehicle behavior; a second route calculation unit 12 configured to calculate a second route for moving the own vehicle 21 from an initial position P0 where parking assistance is started to the virtual departure position P3; and a parking route setting unit 13 configured to set a parking route of the own vehicle 21 with use of the first route and the second route.

Abstract: A vehicular autonomous driving system includes a time division multiplexed (TDM) bus, an autonomous driving (AD) controller coupled to the TDM bus, and a plurality of AD sensors coupled to the TDM bus. The AD sensors are configured to collect AD data and transmit collected AD data to the AD controller on the TDM bus in an assigned time slot at a first power level. A first AD sensor of the plurality of AD sensors is configured to, based upon collected AD data, detect an AD emergency event. In response to the detection, the first AD sensor is configured to transmit an AD emergency message on the TDM bus in a non-assigned time slot and at a second power level that exceeds the first power level. The AD sensor may transmit the AD emergency message in a particular sub-slot of the non-assigned time slot.

Abstract: Each of a road sign projector and a vehicle lamp operates in an assumed usage temperature of a car, and has reduced power consumption and reduced device cost. A road sign projector displays images onto a plurality of regions of a road surface. The road sign projector includes: shades each configured to shape image projection light into a predetermined shape corresponding to the image for each of the regions; and projection lenses corresponding to the regions. The projection lenses are different from one another in at least a focal length and axial inclination.

Abstract: Methods and apparatus for detecting an image type. A specific embodiment of the method includes: acquiring a first to-be-processed image and a second to-be-processed image; determining at least one first object image and at least one second object image in the first to-be-processed image and the second to-be-processed image respectively; and importing the first object image and the second object image corresponding to the first object image into an image type detection model to obtain image type information corresponding to the first object image and the second object image, for each of the at least one first object image, the image type detection model being used to determine an image type by depth of field information, and the image type information including a plane image and a stereo image. This embodiment enables accurate recognition of the image types of the to-be-processed images.

Abstract: Problem: To provide a vehicle monitoring system capable of checking a wide range of area at the rear of a vehicle to afford a high level of safety, without increasing an amount of protrusion from the side surface of the vehicle body. Solution: A vehicle monitoring system 1 is provided with a first camera 11 that shoots a first area at the rear side of a vehicle; a second camera 12 that shoots a second area further toward the inside in the width direction of the vehicle compared with the first area; an ECU 13 that combines videos captured by the two cameras; and a monitor 15 that displays the combined image. The first camera 11 is contained in an STSL 3 on a vehicle body side surface, and the second camera 12 is installed in an RCL 4 or a high mounted stop lamp at the rear of the vehicle body. A video processing circuit 14 performs correction to improve the visibility of the videos of an overlapping section captured by the cameras 11 and 12.

Abstract: A method for estimating a range of a moving object (MO) includes steps of capturing (S1) images of a surrounding by a camera (2), processing (S2) features of captured images to determine a bearing of a moving object (MO) based on a detected cluster of features belonging to the moving object (MO) within the captured images, and estimating (S3) a range of the moving object (MO) based on determined ground features belonging to a ground plane (GP) along the determined bearing of the moving object (MO) which are not occluded by the moving object (MO).

Abstract: Exemplary embodiments are provided of telematics devices and exemplary corresponding methods. In an exemplary embodiment, a telematics device generally includes at least one hub device having a wireless network interface and a short-range wireless communication interface, and one or more peripheral devices. Each peripheral device includes a short-range wireless communication device in wireless communication with the hub device and/or at least one other peripheral device. Each of the one or more peripheral devices includes a peripheral device identifier and is configured to periodically broadcast peripheral device information including the peripheral device identifier to be received by the hub device. The hub device is configured to analyze received peripheral device information and transmit a report based on the analyzed peripheral device information to a remote station.

Abstract: A parking mode determining system includes a distance measurer to measure a distance to an obstacle on the side of a host vehicle; a host-vehicle position measurer to measure a position of the host vehicle; a reflected position calculator to calculate a reflected position of the transmission wave; a grouping unit to group a plurality of the reflected positions for each obstacle; an angle calculator to obtain an approximate line for each of two or more of the reflected positions adjacent to each other, and calculate an angle of inclination of the approximate line or an angle of inclination of a normal line of the approximate line; and a parking mode determiner to determine whether a parking mode is parallel parking, perpendicular parking, or angle parking on the basis of a distribution of a plurality of the angles of inclination.

Abstract: Described herein are devices, systems, and methods for managing the power consumption of an automotive vehicle, and thereby for optimizing the power consumption of the vehicle. The devices and systems for managing the power consumption of the vehicle typically include power management logic that can calculate an applied power for the vehicle engine based on information provided from the external environment of the vehicle, the operational status of the vehicle, one or more command inputs from a driver, and one or more operational parameters of the vehicle.

Abstract: Provided is a color camera that captures using environmental light, a monochrome camera that captures using infrared light, a signal processing unit that processes a signal of a color image output from the color camera and a signal of a monochrome image output from the monochrome camera, a storage unit that stores alignment information generated from a color image and a monochrome image captured in a state of sufficient environmental light, an alignment unit that performs an alignment based on alignment information to match positions of a subject shown in a color image and a monochrome image captured in a state of insufficient environmental light, and an image synthesis unit that acquires color information from the aligned color image and performs color conversion to colorize the monochrome image using the color information.

Abstract: An assessment device generates, based on a captured image captured by an image capturing device mounted on a moving object, shape information on subjects included in the captured image. The assessment device acquires, by referring to a storage, shape information on a static object associated with the image capturing location. The assessment device specifies, based on the generated shape information and the acquired shape information, a dynamic object that is moving from among the subjects included in the captured image and conducts an assessment related to the dynamic object based on the location in the captured image.

Abstract: A notification device includes: a notification-sound output portion provided in a vehicle and configured to output a notification sound toward the outside of the vehicle; a notification display portion provided in the vehicle and configured to output a notification display toward the outside of the vehicle; a notification controlling portion configured to control the notification sound of the notification-sound output portion and the notification display of the notification display portion; and a stop-state determination portion configured to determine whether the vehicle during the automatic driving enters a stop state or not. When the stop-state determination portion determines that the vehicle during the automatic driving enters the stop state, the notification controlling portion outputs a stop-time notification sound as the notification sound by the notification-sound output portion and outputs a stop-time notification display as the notification display by the notification display portion.

Abstract: A vehicle comprising a drive train, an internal combustion engine, a sensor interface, a storage device and a processing device. The sensor interface may be configured to receive sensor data samples during operation of a vehicle. The storage device may be configured to store the sensor data samples over a number of points in time. The processing device may be configured to (i) analyze the sensor data samples stored in the storage device to detect a pattern and (ii) manage fuel supplied to the internal combustion engine in response to (a) current conditions and (b) operational parameters of the vehicle. The pattern is used to determine the current conditions. The fuel supplied to the internal combustion engine is managed to enable efficient fuel usage.

Abstract: Systems and methods for controlling an autonomous vehicle to assist another autonomous vehicle are provided. In one example embodiment, a computer-implemented method includes obtaining data representing a vehicle route of a first autonomous vehicle, wherein the first autonomous vehicle travels along the vehicle route from a first location to a second location. The method includes obtaining data representing an occlusion point that affects an operation of the first autonomous vehicle along the vehicle route. The method includes selecting a second autonomous vehicle, based at least in part on (i) the vehicle route and (ii) the occlusion point, to assist the first autonomous vehicle. The method includes deploying the second autonomous vehicle to assist the first autonomous vehicle to travel along the vehicle route.

Abstract: This disclosure relates to a system and method for detecting vehicle events. The system includes sensors configured to generate output signals conveying information related to the vehicle. The system detects a vehicle event based on the information conveyed by the output signals. The system selects a subset of sensors based on the detected vehicle event. The system captures and records information from the selected subset of sensors. The system transfers the recorded information to a remote server or provider.

Abstract: The present disclosure relate to a technology to detect an object placed in a blind spot on a road so as to inhibit collision between a target vehicle driving in the vicinity of a vehicle, and the object. The vehicle includes an imager to detect the object by recording the object near the vehicle, a sensor to obtain position information and speed information of the object, and a controller to calculate a time to collision (TTC) between the target vehicle and the object, based on the position information and/or speed information of the object. to the controller outputs a collision risk warning signal in a direction of the object, based on the calculated TTC.

Abstract: According to some embodiments, a system calculates a first trajectory based on a map and a route information. The system performs a path optimization based on the first trajectory, traffic rules, and an obstacle information describing obstacles perceived by the ADV. The path optimization is performed by performing a spline curve based path optimization on the first trajectory, determining whether a result of the spline curve based path optimization satisfies a first predetermined condition, performing a finite element based path optimization on the first trajectory in response to determining that the result of the spline curve based path optimization does not satisfy the first predetermined condition, performing a speed optimization based on a result of the path optimization, and generating a second trajectory based on the path optimization and the speed optimization to control the ADV.

Abstract: A mining vehicle control system includes a detection unit configured to determine a proximity of a monitored mining vehicle to a first mining vehicle and a controller configured to determine first protection lines that linearly project from the first mining vehicle and second protection lines that linearly project from the monitored mining vehicle. The first protection lines are determined based on a moving speed of the first mining vehicle. The second protection lines are determined based on a moving speed of the monitored mining vehicle. The controller is configured to direct the first mining vehicle to change movement of the first mining vehicle responsive to intersection of one or more of the first protection lines with one or more of the second protection lines.

Abstract: A navigation system for a vehicle comprises a controller programmed to, responsive to data indicating separation of a follower vehicle from a caravan led by the vehicle and traveling along a predefined route to a destination, generate an alternative route for the follower vehicle to rejoin the caravan at a meetup location before the destination, and alter speed of the vehicle based on expected travel time of the follower vehicle along the alternative route.

Abstract: Techniques for implementing blind spots into neural network models are disclosed. In some example embodiments, a computer-implemented method comprises obtaining an image captured within a field of view of an image capture device and comprising an object of a particular type occupying a particular position within the field of view, and determining a confidence value for the object based on the particular position of the object using a neural network model. The confidence value represents a likelihood that the object is an object of interest, and the neural network model is trained to generate lower confidence values for objects of the particular type when the objects of the particular type are occupying the particular position than when the objects of the particular type are not occupying the particular position.

Abstract: Specifically programmed, integrated motor vehicle dangerous driving warning and control system and methods comprising at least one specialized communication computer machine including electronic artificial intelligence expert system decision making capability further comprising one or more motor vehicle electronic sensors for monitoring the motor vehicle and for monitoring activities of the driver and/or passengers including activities related to the use of cellular telephones and/or other wireless communication devices and further comprising electronic communications transceiver assemblies for communications with external sensor networks for monitoring dangerous driving situations, weather conditions, roadway conditions, pedestrian congestion and motor vehicle traffic congestion conditions to derive warning and/or control signals for warning the driver of dangerous driving situations and/or for controlling the motor vehicle driver use of a cellular telephone and/or other wireless communication devices.

Abstract: An obstacle warning apparatus for vehicle is provided. The obstacle warning apparatus includes at least one camera module, a surround-view processor, an obstacle processor and an image synthesizer. Each camera module includes a projector for projecting structured infrared light to the region of interest outside of the vehicle, and a receiver for receiving first images and second images generated by visible light and structured infrared light both reflected from the region of interest, respectively. The surround-view processor generates surround-view data according to the first images. The obstacle processor generates obstacle data according to the second images. The image synthesizer generates the synthesized image according to the surround-view data and the obstacle data.

Abstract: A line-of-sight detection apparatus includes a first direction determining section that determines a first direction that is a direction of a line of sight of a first eye of a subject; a second direction determining section that determines a second direction that is a direction of a line of sight of a second eye of the subject; an assuming section that assumes a gaze direction of the subject based on at least one of (i) a manipulation by the subject of a device provided with a line-of-sight measurement apparatus that measures a line of sight of the subject, (ii) a state of the device, and (iii) an orientation of a face of the subject; and a first judging section that compares the assumed gaze direction, the first direction, and the second direction, and judges which of the first eye and the second eye is a dominant eye.

Abstract: An apparatus includes an interface and a processor. The interface may be configured to communicate video data to a display. The processor may be configured to receive video frames from a capture device, generate video data for the display in response to the video frames, perform operations to detect an object in the video frames and determine eye position information. The eye position information may be used to determine whether a driver is looking at the display. The processor may be configured to adjust content presented by the display when the driver is looking at the display.

Abstract: Methods, systems, and apparatuses for logging U-turn events and vehicle routing are disclosed. A method for logging a U-turn event includes detecting, at a navigation system, a button press on a human interface device separate from the navigation system based on a signal received from the human interface device. The method also includes, in response to the user input, determining a location of a vehicle corresponding to the navigation system and one or more vehicle characteristics. The method also includes logging U-turn event data for the vehicle, the U-turn event data comprising the location and the one or more vehicle characteristics.

Abstract: A sensor assembly comprises a device mounted on a surface of a vehicle and extending through at least one passage in the surface of the vehicle, and a sensor comprising a short range particulate (SRP) sensor, or a light detection and ranging (LiDAR) air data sensor. The sensor is co-located and integrated with the device mounted on the surface of the vehicle. No additional passages through the surface of the vehicle are needed to integrate the sensor with the device.

Abstract: A vehicle light system. The vehicle light system includes a front assembly having a plurality of lights and a first camera that is securable to a front end of a vehicle, and a rear assembly having a plurality of lights and a second camera that is securable to the rear end of the vehicle. A display operatively connected to the first camera and second camera is disposed within the vehicle interior. A control also disposed within the interior is operatively connected to the front assembly lights, the rear assembly lights, the first camera, the second camera, and the display. The lights improve the lighting of the surrounding area, thus decreasing the number of roadside incidents and increase the public awareness of the police vehicle, while the camera provides additional visibility to the vehicle operator.

Abstract: An object recognition apparatus includes an image acquisition unit that acquires a captured image of a photographic subject, and a recognition processing unit that recognizes the photographic subject in the acquired image using a recognition dictionary. The recognition processing unit detects a target in the acquired image using a target recognition dictionary, detects a wheel at a lower part of the detected target using a wheel recognition dictionary, and reflects a result of the detection of the wheel in a result of the detection of the target. Thus, the object recognition apparatus can accurately detect a target such as a person and another vehicle.

Abstract: A camera device includes an optronics system and an image capture control unit, for acquiring a sequence of images of a surrounding region of a vehicle. The optronics system includes a wide-angle optical system and a high-resolution image acquisition sensor. The optronics system and the image capture control unit are configured to generate a reduced-resolution binned image of the entire capture region of the optronics system, or to capture an unbinned high-resolution image of a subregion of the capture region, respectively for each individual image of the sequence of images, depending on a current traffic and/or surrounding situation. A height and a width of the subregion are set depending on the current situation. A size of the subregion is set such that the pixel count of the high-resolution image of the subregion is no greater than the pixel count of the reduced-resolution image of the entire capture region.

Abstract: In an apparatus for monitoring surroundings of a vehicle carrying the apparatus, a corresponding-point displacement calculator sets a search region for corresponding points in a plurality of images of an object captured simultaneously from different positions and calculate a displacement value between the corresponding points. A search region modifier modifies the search region if a number of corresponding-point displacement values acquired by the corresponding-point displacement calculator within a predetermined period of time is less than a predetermined threshold.

Abstract: An information processing apparatus capable of assisting safe driving of a vehicle at a place such as an intersection where the view from the vehicle is obstructed or restricted is provided. On the basis of image information representing an image captured by an image capturing apparatus mounted in a vehicle, a detection processing unit detects a traffic mirror in the image and an object in the traffic mirror. And a calculating unit calculates a position of the object in the detected traffic mirror. Driving assist information is generated on the basis of the calculated position of the object in the traffic mirror, and the generated driving assist information is output.

Abstract: A method and system for using data associated with a first vehicle and a given road segment defined for a road network and using data associated with a second vehicle and the given road segment to determine a multi-vehicle probability value that indicates a probability that the first vehicle and the second vehicle will arrive at a common position of the given road segment simultaneously. The multi-vehicle probability value can be compared to a threshold probability value to determine whether the first vehicle and/or the second vehicle should take a responsive measure to avoid those vehicles arriving at the common position of the given road segment simultaneously. The data associated the first vehicle and the data associated with the second vehicle can each include a respective electronic horizon for that vehicle, and time parameters and probability values associated with those vehicles being on the given road segment.

Abstract: A method of determining the roll angle of a camera mounted on a host vehicle includes: a) defining Cartesian axes in the real world and corresponding axes in the camera imager; b) from an image taken from the camera, determining the co-ordinates of the two points (P1, P2) of the real world, in the imager of the camera ((x I,1, y I,1), (x I,2, y I,2)); c) determining the difference (D) in the coordinates of the points in a horizontal World plane in one axis (Xw,1?Xw,2), using corresponding co-ordinate system as in step b); and d) determining the roll angle ? of a camera located on a host vehicle from the following formula ?=[D/h?(c2/a2?c1/a1)]/[(a2d2?b2c2)/a22?(a1d1?b1c1)/a12], where a1 and a2 are found from the following, where i=1,2 represents the two points (P1, P2): ai=sin ?*f+cos ?*yI,i; bi=?cos ?*xI,i ci=?cos ? cos ?*f+sin ?*xI,i+cos ? sin ?*yI,I di=?cos ? sin ?*xI,i+sin ?*yI,i where for ? is the known value of fixed tilt angle, ? is the known value of fixed pan angle and h is the known fixe

Abstract: The present disclosure relates to a system and a method of compensating for a position of a vehicle, and a camera module. More specifically, a system of compensating for the position of the vehicle of the present disclosure detects a front road-line and a rear road-line of a driving lane of the vehicle based on image data on the front and rear areas of the vehicle, calculates an offset of a front road-line and an offset of a rear road-line based on the front road-line and the rear road-line of the driving lane of the vehicle, compares the offset of the front road-line with the offset of the rear road-line, and determines a final road-line offset of the vehicle according to the result of the comparison.

Abstract: A hitch assist system is provided herein. The hitch assist system includes a sensing system configured to detect a hitch assembly and a coupler. A controller is configured to generate commands for maneuvering a vehicle along a first path or a second path. A user input device includes a display, the display configured to illustrate the first and second paths.

Abstract: A computer implemented method and computer system for automatically limiting the swing angle of a vehicle door to not hit nearby moving objects, including predicting that a moving object will move to be within a predetermined distance of the door and predicting the distance the moving object will be from the door, determining a swing angle extent of an opening of the door that will avoid hitting the moving object and actuating a door controller to limit the swing angle of the door. Historical data on the speed the door is opened can be used in determining the door swing angle. The current position and velocity of the moving object relative to the door of the vehicle is estimated based on signals received from sensors attached to the vehicle.

Abstract: There is provided a processing unit that includes a direction decision unit and a guide information generation unit. The direction decision unit determines a direction in which a person who behaves without a sense of sight walks. The guide information generation unit generates guide information for the person who behaves without the sense of sight to walk in the determined direction. The present technology is applicable, for example, to a smartphone or the like used by the person who behaves without the sense of sight.

Abstract: The present disclosure relates to an apparatus and a method for assisting driving of a host vehicle, and more particularly to a technology for controlling whether to operate a vehicle collision alert device according to the circumstances surrounding the host vehicle. An apparatus for assisting driving of a host vehicle a sensor mounted to the host vehicle and having a field of view outside of the host vehicle and capturing images; and a controller communicatively connected to the sensor and configured to predict a driving route of the host vehicle based on a vehicle control command input from a driver; determine whether the host vehicle is able to travel along the predicted driving route based on surrounding space information on the host vehicle obtained from the captured images; and control a collision alert device of the host vehicle based on a result of determining whether the host vehicle is able to travel.

Abstract: System and methods are provided for calculating a lane maneuver delay for different lane maneuvers and different road segments at different times of the day to generate a predicted lane maneuver delay for use in routing and navigation services. A lane-level map-matcher identifies the lane a vehicle is driving on using positional sensors. Sensor data is obtained from vehicle sensors using the left-turn and right-turn signal lights sensor. A lane maneuver delay value is calculated from the time period a left-turn or right-turn signaling light was kept on before a vehicle completed a lane maneuver. The lane maneuver delay values are aggregated to generate a predicted lane maneuver delay that may be used in lane level routing instructions.

Abstract: A vehicle includes an image sensor configured to acquire a surrounding image; a sensor configured to detect at least one of a vehicle state or a surrounding condition of the vehicle; an external display disposed on an outer side of the vehicle; and a controller configured to identify whether a predetermined situation occurs based on at least one of the acquired surrounding image or an output value of the sensor, and configured to control at least one of a flicker frequency or a flicker pattern of the external display to display information on the occurring situation when the predetermined situation occurs.

Abstract: An information processing device includes a disparity information input unit configured to acquire disparity image data indicating a disparity image including a disparity; a V map generating unit configured to generate a V map indicating a frequency of the disparity for each of coordinates of the disparity image by voting the disparity at a position corresponding to the coordinate of each of pixels of the disparity image based on the disparity image data; a shape estimating unit configured to estimate a road surface shape based on the V map; a height table generating unit configured to generate a height table indicating a relationship between the disparity and a height of a road surface based on the estimated road surface shape; and a correcting unit configured to correct, based on rolling information on rolling of a stereo camera that acquires the disparity, information used to generate information indicating the road surface shape so as to cancel out an influence of the rolling.

Abstract: A driving support apparatus for an own vehicle includes a lane keeping assist control unit. When an interrupting vehicle enters ahead of the own vehicle in (i) a situation in which no preceding vehicle is present ahead of the own vehicle, or (ii) a situation in which a preceding vehicle is present ahead of the own vehicle, while a deviation angle formed between a direction of a traveling trajectory of the interrupting vehicle and a traveling direction of the own vehicle is larger than a threshold, the lane keeping assist control unit is configured not to perform a lane keeping assist control based on the traveling trajectory of the interrupting vehicle, and is configured to discard the traveling trajectory of the interrupting vehicle. On and after the deviation angle becomes equal to or smaller than the threshold, the lane keeping assist control unit is configured to perform the lane keeping assist control based on the traveling trajectory of the interrupting vehicle.

Abstract: A computer implemented method and computer system for automatically limiting the swing angle of a vehicle door to not hit nearby moving objects, including predicting that a moving object will move to be within a predetermined distance of the door and predicting the distance the moving object will be from the door, determining a swing angle extent of an opening of the door that will avoid hitting the moving object and actuating a door controller to limit the swing angle of the door. Historical data on the speed the door is opened can be used in determining the door swing angle. The current position and velocity of the moving object relative to the door of the vehicle is estimated based on signals received from sensors attached to the vehicle.

Abstract: Disclosed is an object-sensing system for a vehicle including: a transmitter configured to transmit a transmission beam in a radiation direction according to a control signal; a receiver configured to receive a reception beam in the radiation direction and output a sensing signal; an object sensor configured to sense an object by analyzing the sensing signal; a lane change sensor configured to sense whether a driving lane is changed; and a controller configured to output a control signal for changing the radiation direction to a first direction associated with the sensed object based on the analysis of the sensing signal, and, when a change in the driving lane is sensed, output the control signal for changing the radiation direction to a preset initial direction.

Abstract: Provided is a back warning apparatus and a method and control system therefor. The back warning apparatus includes an image sensor installed at a rear of a vehicle, and a controller that obtains a rearview image via the image sensor when the vehicle moves rearward, recognizes the boundary of a free space in the rearview image and generates a surface profile associated with the height/depth of a surface behind the vehicle, determines the attribute of a rear object based on the boundary of the free space and the surface profile, and outputs a warning by determining whether a hazard exists in association with the attribute of the rear object based on the information associated with the vehicle. According to the present disclosure, information associated with a rear object having a short height is provided, thereby making effective use of a parking space and preventing damage to the bodywork of the vehicle.

Abstract: The present disclosure relates to a method of providing at least one image of at least one real object captured by at least one scene camera of a plurality of scene cameras mounted on a vehicle. The method includes: providing camera poses of respective scene cameras of the plurality of scene cameras relative to a reference coordinate system associated with the vehicle, providing user attention data related to a user captured by an information capturing device, providing at least one attention direction relative to the reference coordinate system from the user attention data, determining at least one of the scene cameras among the plurality of scene cameras according to the at least one attention direction and the respective camera pose of the at least one of the scene cameras, and providing at least one image of at least one real object captured by the at least one of the scene cameras.

Abstract: A server device obtains, from a primary device associated with a first vehicle, event data concerning an event, video data concerning the event, and/or location data concerning a location of the first vehicle. The server device processes the event data to determine a type of the event, and determines, based on the type of the event and the location data, a proximity zone around the location of the first vehicle. The server device determines additional devices within the proximity zone, where each additional device is associated with a different vehicle. The server device sends, to the additional devices, a message requesting additional video data concerning the event, and obtains the additional video data from at least one additional device. The server device performs, based on relevant event information based on the event data, the video data, and the additional video data, an action concerning the event.

Abstract: A vehicle control device includes a tracking unit estimating a motion of a moving object, a model selection unit selecting a motion model corresponding to a moving object type, an abnormality determination unit determining a presence or absence of an abnormality of the estimation of the motion of the moving object based on the estimated moving object motion and the motion indicated by the motion model, and a control unit. A control mode in which the control unit controls traveling of a host vehicle when the abnormality determination unit determines that the abnormality is present differs from a control mode in which the control unit controls the traveling of the host vehicle when the abnormality determination unit determines that the abnormality is absent.

Abstract: Provided are a method, an apparatus and a device for obstacle in lane warning. The method includes receiving information of an obstacle in a front lane of a first vehicle, where the first vehicle is in front of a second vehicle; and performing an obstacle warning on the second vehicle according to the information of the obstacle. The second vehicle receives the information of the obstacle, and performs the obstacle warning on the second vehicle according to the information of the obstacle to prevent the second vehicle from failing to detect the obstacle in a blind area when the sight of the second vehicle is blocked by the first vehicle; the front vehicle notifies the subsequent vehicle of the obstacle in the lane immediately, which facilitates the driver to handle the situation in advance, improves the vehicle's ability to sense the obstacle and prevents the collision from occurring.

Abstract: According to various embodiments, a method for notifying of surrounding situation information by an electronic device may comprise the operations of: monitoring a value indicating a movement of the electronic device; determining whether a state of the electronic device is a stopped state, on the basis of the value indicating a movement of the electronic device; and acquiring surrounding situation information of the electronic device, which will be notified of to a user, when the state of the electronic device is a stopped state; and outputting the surrounding situation information.