Abstract: Disclosed are a motion-sensing in-vehicle alerting method, a system, and a related device, which are applied to vehicles. The method includes steps of: obtaining, by a controller, an audio signal from an in-vehicle audio bus; performing an acoustic characteristics analysis on the audio signal, and extracting an acoustic waveform of the audio signal in a time domain waveform; performing an amplitude modulation on a sinusoidal signal of the acoustic waveform to obtain a modulated sinusoidal signal after amplitude modulation; obtaining, by the controller, a control signal indicating operational behavior information from an in-vehicle control bus, matching the control signal with the modulated sinusoidal signal according to a predetermined rule to generate a vibration signal, and transmitting the vibration signal to the excitation oscillator to achieve a vibration alert. The method of the present application not only enhances safety, but also provides the vibration alert, resulting in an improved user experience.

Abstract: A pedestrian attention trigger device includes a notification device capable of executing a first notification action when determined that a first condition satisfied, and capable of executing a second notification action when determined that a second condition different to the first condition is satisfied, and includes a processor. The processor controls the notification device to execute one action of the first notification action or the second notification action in priority over the other action thereof when the first condition and the second condition have both been satisfied at the same time, and to execute the other action when a condition that is one of the first condition or the second condition and that corresponds to the one action is no longer satisfied and also a condition that is the other of the first condition or the second condition and that corresponds to the other action is satisfied.

Abstract: Object detection systems and methods are disclosed. In one example, an object detection system holds blind spot information about a blind spot area of a driving target. An information acquisition unit acquires surroundings situation information about a surrounding situation of the driving target, a detection processing unit detects an object based on the surroundings situation information, a state determination unit determines that the object is in a dangerous state where the object is in the blind spot area, based on position information of the object detected and the blind spot information, and a notification unit notifies a driver of the driving target and/or surroundings around the driving target that the object is in the dangerous state.

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: An autonomous vehicle control system may include one or more processors configured to receive an electrical signal generated based on a returned optical signal that is reflected from an object. The one or more processors may determine a Doppler frequency shift of the returned optical signal over a first duration of the electrical signal. The one or more processors may generate a corrected electrical signal based on the Doppler frequency shift. The one or more processors may determine a range to the object based on the corrected electrical signal over a second duration that is shorter than the first duration. The one or more processors may control at least one of a steering system or a braking system based on the range.

Abstract: A vehicular vision system includes a camera disposed at a vehicle and viewing exterior of the vehicle. The vehicular vision system, responsive to detecting an object present exterior of the vehicle via processing of image data captured by the camera, determines location of the detected object relative to the vehicle. The vehicular vision system displays video images derived from the captured image data on a video display. The vehicular vision system generates a three-dimensional (3D) icon that includes a front face and a rear face opposing the front face with a length dimension between the faces. The 3D icon overlays the detected object and the front face faces toward a representation of the vehicle. Responsive to a chance in location of the object relative to the vehicle, the system adjusts the length dimension.

Abstract: An object recognition apparatus includes at least one processor and at least one memory communicably coupled to the processor. The processor sets one or more object presence regions in each of which an object is likely to be present, on the basis of observation data of a distance sensor. The processor estimates an attribute of the object that is likely to be present in each of the one or more object presence regions. The processor sets, on the basis of the attribute of the object, a level of processing load to be spent on object recognition processing to be executed for each of the one or more object presence regions by using at least image data generated by an imaging device. The processor performs, for each of the one or more object presence regions, the object recognition processing corresponding to the set level of the processing load.

Abstract: Disclosed is a vehicle control method, including: obtaining a first velocity planned for an intelligent vehicle to travel in a first area; and obtaining a second velocity planned for the vehicle to travel in the first area, where the second velocity is obtained based on a collision potential energy, the first velocity and the second velocity each include a direction and a magnitude, and the first velocity, the second velocity, and a risk of a collision between the vehicle and a surrounding obstacle are used to determine an optimal velocity of the vehicle, so that the vehicle can effectively avoid the obstacle, thereby improving traveling safety of the vehicle. Also disclosed are a vehicle control apparatus, a vehicle controller, and a vehicle.

Abstract: Disclosed are a vehicle control system and a driving method of a vehicle using the vehicle control system. The vehicle control system includes a processor that processes data related to driving of a vehicle, and a vehicle controller that controls the driving of the vehicle. The processor performs an operation of excluding a travel trajectory from data to be clustered and excluding a travel trajectory in updating a sparse map or an operation of adjusting a range of a driving control right of the vehicle, based on the travel trajectory.

Abstract: A system for modifying a load map of a worksite includes one or more processing circuits. The one or more processing circuits include one or more memory devices coupled to one or more processors. The one or more memory devices are configured to store instructions thereon that, when executed by the one or more processors, cause the one or more processors to receive a load indication regarding a load of a work machine, generate a modified load map based on the load map and the load where the modified load map includes an acceptable zone defining an acceptable load threshold and a warning zone defining a warning load threshold, receive a location indication regarding a location of the work machine on the worksite, and provide a warning when the work machine is within or approaching the warning zone.

Abstract: A system, method and storage medium for providing an emergency vehicle alert includes a first device collecting EV-related data, a management server receiving the EV-related data from the first device, the management server determining a geofence for the EV by dynamically adjusting a size or shape of the geofence at least based on a velocity of the EV-related data, the management server generating a safety warning signal including geofence information associated with the determined geofence, the management server transmitting the safety warning signal to a second device, a second device receiving the safety warning signal, the second device determining whether the another vehicle is located within the geofence based on the safety warning signal, the second device performing one or more alert actions when the another vehicle is located within the geofence, and the second device performing no alert action when the another vehicle is out of the geofence.

Abstract: A system for vehicle forward collision avoidance through a low speed limit area includes a position providing device, a sensor, and a vehicle controller. The position providing device is configured to provide information on a position of a host vehicle. The sensor is configured to detect whether an object is present in vicinity of the host vehicle. The vehicle controller is configured to: set a dangerous area based on a dangerous rank by detecting through the sensor, in a driving caution area, a motionless vehicle or a pedestrian; correct sensitivity of the sensor to be higher than an original sensitivity, after setting the dangerous area; and correct forward collision avoidance performance of the host vehicle to be increased from an original performance, when the position of the host vehicle is detected in the driving caution area through the position providing device.

Abstract: A communication system that performs first communication and second communication, which differs from the first communication, through wireless connection between a terminal and a communication peer, is provided. The communication system includes communication devices arranged in the communication peer. At least one of the communication devices performs the second communication. The communication devices include a first communication device and a second communication device, which differs from the first communication device. The first communication device is connected to a controller that controls the communication devices, and the second communication device is connected to the first communication device.

Abstract: A vehicular vision system includes an electronic control unit disposed at a vehicle, and a camera disposed at the vehicle. The electronic control unit includes an image processor. The camera has an imager that captures image data. A cable is electrically connected (i) at an electrical connector of the electronic control unit and (ii) at an electrical connector the rear backup camera. The cable carries DC power from the electronic control unit to the camera. The cable carries, from the electronic control unit to the camera, data used for control of the imager of the respective camera. The cable carries image data captured by the imager of the camera to the electronic control unit. Image data carried by the cable to the electronic control unit is processed at the electronic control unit.

Abstract: An object recognition unit (200) recognizes an object existing around a moving body (100). A surrounding situation estimation unit (204) analyzes at least any of a position and behavior of the object recognized by the object recognition unit (200), and derives as a latent event, an event which is likely to surface later and is attributed to an object that the object recognition unit (200) has not been able to recognize to exist around the moving body (100).

Abstract: A method of identifying target-type vehicle through radar based blind spot warning (BSW) system of a host vehicle, comprising: detecting a first radar reflection point reflected by an object, said first radar reflection point being outside the BSW zone of the BSW system; setting an object area based on the distribution of groups of the first radar reflection point; assuming the object to be other vehicle based on the positional relationship between the object area and the BSW zone; detecting a second radar reflection point inside the BSW zone; and determining the other vehicle to be the target-type vehicle based on the detected second radar reflection point. The target-type vehicle is trailer or coach.

Abstract: A pedestrian protection system includes a plurality of autonomous driving vehicles and a server configured to be able to communicate with each of the autonomous driving vehicles. The server is configured to select at least one vehicle to be moved to the location of a pedestrian from among the autonomous driving vehicles as a pedestrian protection vehicle when a particular situation occurrence notification is received and is configured to send an instruction notification to the pedestrian protection vehicle. The particular situation occurrence notification indicates that the pedestrian is placed in a particular situation. The instruction notification instructs the pedestrian protection vehicle to move to the location of the pedestrian for protecting the pedestrian. Each of the autonomous driving vehicles is configured to move to the location of the pedestrian for protecting the pedestrian when the instruction notification is received.

Abstract: Vehicles can be operated according to an artificial intelligence model contained in an on-board processor. The AI model can analyze sensor data, such as visible or infrared images of traffic, and determine when a collision is possible, whether it has become imminent, and whether the collision is avoidable or unavoidable using sequences of accelerations, braking, and steering. The AI model can also select the most appropriate sequence of actions from a large plurality of calculated sequences to avoid the collision if avoidable, and to minimize the harm if unavoidable. The AI model can also cause a processor to actuate linkages connected to the throttle (or electric power control), brakes (or regenerative braking), and steering to implement the selected sequence of actions. Thus the collision can be avoided or mitigated by an ADAS system or a fully autonomous vehicle.

Abstract: A method for detecting whether a motor vehicle is located within a section of a roadway, comprising the following steps: detecting roadway markings of a roadway on which the motor vehicle is located, detecting whether the motor vehicle is located within a section of the roadway, wherein the section is defined by section boundaries, and then outputting a warning if the motor vehicle is not located within the section, wherein the section boundaries are defined depending on a marking distance of the roadway markings from one another.

Abstract: A method of providing evasive steering assist (ESA) includes storing yaw rate data related to a host vehicle, wherein yaw rate data includes a yaw rate stored at each time step from an initial time step [0] to a current time step [n]. The method further includes determining whether to initiate ESA, wherein in response to a determination to initiate ESA, the method includes calculating a current position, a current heading angle, a destination position, and a destination heading angle, wherein the stored yaw rate data is utilized to determine the current heading angle and the destination heading angle. The method further includes generating an evasive steering assist (ESA) output based on the current position, the current heading angle, the destination position, and the destination heading angle.

Abstract: A measurement apparatus repeatedly executes measurement determination of whether measurement of a wall object has succeeded. If the wall-object measurement has succeeded, the measurement apparatus calculates an instantaneous wall-distance value indicative of a distance of the wall object from the own object. Otherwise, if the wall-object measurement has not succeeded, the measurement apparatus executes first extrapolation of an additional instantaneous wall-distance value. The measurement apparatus prevents an additional execution of the first extrapolation upon determination that the frequency of continuously repeated executions of the first extrapolation is not less than a prevention threshold frequency.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining a task schedule for generating prediction data for different agents. In one aspect, a method comprises receiving data that characterizes an environment in a vicinity of a vehicle at a current time step, the environment comprising a plurality of agents; receiving data that identifies high-priority agents for which respective data characterizing the agents must be generated at the current time step; identifying available computing resources at the current time step; processing the data that characterizes the environment using a complexity scoring model to determine a respective complexity score for each of the high-priority agents; and determining a schedule for the current time step that allocates the generation of the data characterizing the high-priority agents across the available computing resources based on the complexity scores.

Abstract: Systems and methods for speed and lane advisory are provided. In one embodiment, a method includes determining a host longitudinal position in a current lane. The method includes identifying at least one candidate lane adjacent the current lane. The method includes calculating a longitudinal maneuver distance for the host agent to execute a maneuver from the current lane to a candidate. The method includes calculating an augmented minimum distance by combining a predetermined minimum distance and the longitudinal maneuver distance. The method includes calculating a current lane headway distance for the current lane and a first candidate lane headway distance for the first candidate lane. The method includes selecting a target lane from a current lane or a candidate lane based on a comparison of the current lane headway distance and the first candidate lane headway distance and controlling the host agent based on the selection of the target lane.

Abstract: A driving system for the automated driving for a motor vehicle is configured to determine a field of vision of at least one sensor of the motor vehicle, for at least one area in the surroundings of the motor vehicle which does not lie in the field of vision of the at least one sensor, to simulate, if appropriate, a virtual road user in the at least one area in the surroundings of the motor vehicle, to carry out an evaluation of action options in accordance with a possible virtual collision of the motor vehicle with the at least one virtual road user, to select one of these action options in accordance with the above, and to execute the selected action option.

Abstract: The present disclosure provides an environment sensing system. The sensing system includes a laser detection module, the laser detection module including a first laser module, a second laser module, a third laser module, and a fourth laser module, a field of view (FOV) angle of each laser module being less than or equal to 120°. The first laser module and the second laser module are disposed on a front side of a movable platform to detect an area in front of the movable platform, the FOVs of the first laser module and the second laser module partially overlap. The third laser module and the fourth laser module are respectively disposed on both sides of the movable platform to detect a front left area and a front right area of the movable platform.

Abstract: In accordance with an exemplary embodiment, methods and systems are provided for controlling steering of an autonomous vehicle. The method includes: operating, by a processor, the autonomous vehicle in a path-based automated driving assist mode; receiving, by the processor, driver input including a driver torque; classifying, by the processor, an operation mode based on a type of the path-based automated driving assist mode; determining, by the processor, an override threshold for overriding the path-based automated driving assist mode on a first lateral side of the autonomous vehicle based on the operation mode; determining, by the processor, a driver override status based on the override torque threshold; and generating, by the processor, control signals to control the steering of the autonomous vehicle based on the driver override status and the driver torque.

Abstract: Provided is a work machine that can suppress decrease in work efficiency while reducing the possibility of contacting a worker or a dump truck, etc. A movement range is set in advance so as to avoid entry of a worker or a dump truck, etc. into the set movement range. The work machine performs stop control with clearance for an obstacle having entered the movement range, but performs stop control with relatively small clearance (minimum clearance) for a movement range. Thus, the work machine can reduce the frequency of stopping a body or a work implement and suppress decrease in work efficiency. Since the work machine controls the body or the work implement to stop with clearance when the worker or the dump truck, etc. enters the movement range of the work machine, the work machine can reduce the possibility of contacting the worker or the dump truck, etc.

Abstract: A driving support apparatus according to the invention estimates the position of a moving body by controlling a position estimation unit when the tracking-target moving body leaves a first area or a second area to enter a blind spot area and detects the position of the moving body by controlling a position detection unit when the moving body leaves the blind spot area to enter the first area or the second area. In this manner, the trajectory of the tracking-target moving body is calculated so that the trajectory of the moving body detected in the first area or the second area and the trajectory of the moving body estimated in the blind spot area are continuous to each other and driving support is executed based on the calculated trajectory of the tracking-target moving body.

Abstract: An autonomous vehicle (AV) implements a notification system that provides notifications to user devices in nearby vehicles to alert drivers of the nearby vehicles of the AV's planned behavior. The notifications are delivered wirelessly and output by the user device to the drivers. The planned behaviors of the AV may not be conveyed by existing mechanisms, such as turning signals or hazard lights. The AV or the receiving user device may determine when an AV's planned behavior may impact a particular driver, and provide relevant notifications to the driver.

Abstract: Automated inventory management and material (or container) handling removes the requirement to operate fully automatically or all-manual using conventional task dedicated vertical storage and retrieval (S&R) machines. Inventory requests Automated vehicles plan their own movements to execute missions over a container yard, warehouse aisles or roadways, sharing this space with manually driven trucks. Automated units drive to planned speed limits, manage their loads (stability control), stop, go, and merge at intersections according human driving rules, use on-board sensors to identify static and dynamic obstacles, and human traffic, and either avoid them or stop until potential collision risk is removed. They identify, localize, and either pick-up loads (pallets, container, etc.) or drop them at the correctly demined locations. Systems without full automation can also implement partially automated operations (for instance load pick-up and drop), and can assure inherently safe manually operated vehicles (i.

Abstract: Present disclosure relates a multi-factor authentication electronic lock, a multi-factor authentication electronic lock system, and methods of using the multi-factor authentication electronic lock system. The multi-factor authentication electronic lock includes a user presence detection system, a biometrics authentication system, and a multi-factor authentication electronic lock controller. When a user approaches the multi-factor authentication electronic lock, the user presence detection system detects the presence of user and authenticates the user detected to determine whether the user detected is an authorized user registered.

Abstract: A vehicle surroundings information displaying system comprising: a surroundings information image generating unit for generating a surroundings information image, showing the surroundings information for the vehicle, based on point group data that indicates distances from the vehicle, acquired by a distance sensor; a map image acquiring unit for acquiring a map image of the surroundings of the vehicle; an overhead image acquiring unit for acquiring an overhead image of the surroundings of the vehicle; and a display image generating unit for generating a display image, to be displayed on the display panel, by combining the map image, a vehicle mark that indicates the location of the vehicle, the overhead image that is placed surrounding the vehicle mark, and the surroundings information image that is placed surrounding the overhead image.

Abstract: A vehicular safety feature control system includes a camera disposed at a vehicle that views exterior of the equipped vehicle. The vehicular safety feature control system includes an electronic control unit (ECU) for processing image data captured by the camera to detect presence of objects. The ECU, responsive to processing of image data captured by the camera, detects an object on a collision course with the equipped vehicle. The ECU, responsive to detecting the object on the collision course with the equipped vehicle, classifies the detected object. The ECU estimates a mass of the detected object based on the classification. The ECU estimates a kinetic energy of a potential collision and, based on the estimated kinetic energy of the potential collision, estimates a severity of the potential collision. The ECU controls a safety feature of the equipped vehicle based on the estimated severity of the potential collision.

Abstract: Disclosed is a vehicular environment estimation device capable of accurately estimating a travel environment around own vehicle on the basis of a predicted route of a mobile object or the like, which is moving in a blind area. A vehicular environment estimation device that is mounted in the own vehicle detects a behavior of another vehicle in the vicinity of the own vehicle, and estimates a travel environment, which affects the traveling of another vehicle, on the basis of the behavior of another vehicle. For example, the presence of another vehicle, which is traveling in a blind area, is estimated on the basis of the behavior of another vehicle. Therefore, it is possible to estimate a vehicle travel environment that cannot be recognized by the own vehicle but can be recognized by another vehicle in the vicinity of the own vehicle.

Abstract: Exemplary embodiments are directed to wireless charging and wireless power alignment of wireless power antennas associated with a vehicle. A wireless power charging apparatus includes an antenna including first and second orthogonal magnetic elements for detecting a horizontal component of a magnetic field generated from a second charging base antenna. A processor determines a directional vector between the antennas.

Abstract: The present disclosure provides a method for detecting a lane line, a vehicle and a computing device. The method includes: generating an optical flow image in accordance with a series of event data from a dynamic vision sensor coupled to a vehicle; determining an initial search region including a start point of the lane line in accordance with the optical flow image; determining a center of gravity of the initial search region; determining a new search region through an offsetting operation on the center of gravity; determining a center of gravity of the new search region; repeating the steps of determining a new search region and determining a center of gravity of the new search region iteratively to acquire centers of gravity of a plurality of search regions; and determining the lane line in accordance with the centers of gravity of the plurality of search regions.

Abstract: A vehicle notification apparatus recognizes an object of driving over on a road on which a host vehicle travels based on a detection result by a front sensor of the host vehicle, determines whether the object of driving over flies backwards based on a detection result by a rear sensor of the host vehicle when the object of driving over is recognized, and notifies a following vehicle of projectile information corresponding to the flight of the object of driving over when it is determined that the object of driving over flies backwards.

Abstract: A vehicle control automatically distinguishes between a moving body and a stationary body, reduces user's operation process, and reduces burdens to shorten time for a parking process. Obstruction points are grouped so as to be divided between obstructions, coloring of moving and stationary bodies are changed for each obstruction, and it is determined whether there is an obstruction for which the coloring has not been changed. If there is an obstruction for which the coloring has not been changed, whether there is license plate information and whether the obstruction is a moving body or a stationary body are determined, and a moving body is changed to red and a stationary body to blue. A display device displays the obstruction information distinguished between stationary or moving objects, and a message to the user such as “obstruction stored” notifies the user of completion of the distinction of the obstruction types.

Abstract: The invention discloses a multi-lighting projection warning device for vehicle turning, which comprises a composite lamp and a control unit. The composite lamp is arranged on one side of a vehicle and combined with a range indicator light, a contour indicator light, and a text or pattern indicator light, so that the composite lamp can project lighting to a visual blind spot when the vehicle turns or reverses to form a warning area. The control unit is connected to the composite lamp to enable functions of controlling rotation and start-stop lighting of the composite lamp. Thereby, when the vehicle is turning, the invention projects composite lightings on the ground at the turning side to form the warning area, so as to actively warn other passers-by to dodge the warning area and increase the safety of passers-by.

Abstract: An apparatus includes at least one camera configured to capture a series of image frames for traffic lanes in front of an ego vehicle, where each of the series of image frames is captured at a different one of a plurality of times. A target object detection and tracking controller is configured to process each of the image frames using pixel measurements extracted from the respective image frame to determine, from the pixel measurements, a predicted time to line crossing for a target vehicle detected in the respective image frame at a time corresponding to capture of the respective image frame.

Abstract: Embodiments are provided herein for determining a synchronizing master for device-to-device (D2D) communication in a cellular network environment. In an embodiment, a user equipment (UE) receives a discovery signal comprising a timing reference, and determines a transmitter of the discovery signal. In accordance with the determination of the transmitter of the discovery signal, the UE performs one of synchronizing to the timing reference in the discovery signal and transmitting a second discovery signal. The UE performs the synchronizing to the timing reference if the transmitter of the discovery is a cellular network. Alternatively, the UE transmits the second discovery signal upon determining that the transmitter of the discovery signal is a second UE that is out of coverage of a cellular network.

Abstract: Provided are methods for detecting objects within a vehicle. The methods can include emitting at least one auditory signal within the vehicle during at least one first time interval; measuring a second auditory signal emitted by an object within the vehicle during the second time interval subsequent to the at least one first time interval, where the emission of the second auditory signal is caused by the emission of the least one first auditory signal; determining a location of the object within the vehicle based on the measurement of the second auditory signal; and generating an alert to a user indicating the location of that object. Systems and computer program products are also provided.

Abstract: A vehicular head-up display that is provided in a vehicle and is configured to display a predetermined image to an occupant of the vehicle includes: a housing that has an opening upward; a transparent cover that covers the opening of the housing; a picture generation section; and a cleaner that is configured to clean an outer surface of the transparent cover. The picture generation section includes: a picture generation unit that is provided inside an accommodation portion formed with the housing and the transparent cover in order to emit light for generating the predetermined image; and a reflection unit that reflects light so that light emitted by the picture generation unit heads toward a windshield.

Abstract: In a warning apparatus, a restriction unit performs restriction of the issuance of a warning about a ghost from an issuing unit. A trajectory calculator calculates an estimated trajectory of each of first and second target objects. A cancelling unit cancels the restriction of the issuance of the warning about the ghost from the issuing unit upon determination that a predetermined cancelation condition is satisfied for the first and second target objects. The cancelation condition includes a condition that a passing distance between the first and second target objects is larger than a predetermined distance threshold.

Abstract: Disclosed is an operating method of a vehicle control apparatus controlling autonomous driving based on a vehicle external object including performing primary object detection based on a first vehicle external image received from a camera to obtain first object information, setting a first reflective area for reflection light based on the first object information, generating a second vehicle external image, in which a reflective image inside the first reflective area is removed from the first vehicle external image, using pixel values inside the first reflective area, performing secondary object detection based on the second vehicle external image to obtain second object information, determining reliability of the second object information based on information about the reflective image and the second object information, and controlling the autonomous driving of the vehicle based on the second object information when the reliability of the second object information is higher than a setting value.

Abstract: A vehicle driving support device includes a turn-signal switch switched on by a driver of the vehicle in the vehicle's course change, a rear side detector that detects an approaching vehicle on a lane to which the course of the vehicle is to be changed, turn-signal lamps on the right and left sides of the vehicle, and a turn-signal display processor displaying one of the turn-signal lamps which is on the side of the lane when the turn-signal switch is on. The turn-signal display processor includes a closeness determiner that determines whether the approaching vehicle is close to the vehicle when the turn-signal switch is on and the rear side detector detects the approaching vehicle, and a standby-state processor that, if that the approaching vehicle is close to the vehicle, causes the one of the turn-signal lamps to be a standby state and informs the driver of the standby state.

Abstract: In an image generation apparatus, an image acquisition unit is configured to acquire, from at least one camera operable to capture an image of surroundings of a vehicle, a captured image. A bird's-eye view image generation unit is configured to generate a bird's-eye view image from the captured image. A three-dimensional object recognition unit is configured to recognize a three-dimensional object in the captured image. A superimposition-image acquisition unit is configured to acquire a superimposition image that represents the three-dimensional object recognized by the three-dimensional object recognition unit, by performing a process depending on a type of the three-dimensional object recognized by the three-dimensional object recognition unit. A superimposition unit is configured to superimpose, onto the bird's-eye view image, the superimposition image acquired by the superimposition-image acquisition unit, at a position where the three-dimensional object is present in the bird's-eye view image.

Abstract: A method for testing the functional capability of an emergency call device of a transportation vehicle. In an emergency mode, at least one specific audio signal is generated for a vehicle passenger by the emergency call device and emitted to the interior of the transportation vehicle. For testing, the emergency call device is put into a testing mode in which the at least one audio signal intended for the emergency is generated and wherein, in the testing mode, the generated audio signal passes, within the vehicle-internal emergency call device, through a signal path which is modified compared with the emergency mode.

Abstract: A rear lateral blind-spot warning system for a vehicle includes a sensor configured to sense position information and movement information on an external obstacle, a determiner configured to determine the type of the external obstacle located in a rear blind spot or a lateral blind spot of the vehicle based on the position information and the movement information sensed by the sensor, a setter configured to set a rear lateral blind-spot warning range or a rear lateral blind-spot warning time based on the type of the external obstacle determined by the determiner, and a controller configured to control rear lateral blind-spot warning operation based on the rear lateral blind-spot warning range or the rear lateral blind-spot warning time set by the setter.

Abstract: A movable carrier auxiliary system includes an environmental detecting device, a control device, a state detecting device, and a parking auxiliary device. The environmental detecting device includes an image capturing module and an operation module. A parking auxiliary method thereof includes capture an environmental image around a movable carrier with the image capturing module; analyze whether the environmental image has a parking space with the operation module; detect a movement state of the movable carrier with the state detecting device; generate a prompting message with the parking auxiliary device based on an analysis result of the operation module and the movement state of the movable carrier, thereby the driver could manipulate the control device based on the prompting message to move the movable carrier to the parking space, improving a convenience and a safety when parking the movable carrier.