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: 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: 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 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: 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: 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: 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: 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: 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: 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 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: 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: 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: 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: 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: 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: 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: 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: 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 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 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 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.

Abstract: An approach is provided for detecting an on-boarding or off-boarding event based on mobile device sensor data. The approach, for example, involves retrieving sensor data collected from at least one sensor of a mobile device that is fixed in a stationary position relative to a vehicle. The approach also involves processing the sensor data to determine roll angle data for the vehicle over a time window. The approach further involves processing the roll angle data to determine one or more transitions of a roll angle value of the vehicle between one or more value levels. The approach further involves determining an on-boarding event, an off-boarding event, or a combination thereof based on the one or more transitions. The approach further involves providing the on-boarding event, the off-boarding event, or a combination thereof as an output.

Abstract: The invention provides designs and methods for a heavy vehicle operations and control system for heavy automated vehicles, which facilitates heavy vehicle operation and control for connected automated vehicle highway (CAVH) systems. The heavy vehicle management system provides heavy vehicles with individually customized information and real-time vehicle control instructions to fulfill the driving tasks such as car following, lane changing, route guidance. The heavy vehicle management system also realizes heavy vehicle related lane design, transportation operations, and management services for both dedicated and non-dedicated lanes. The heavy vehicle management system consists of one or more of the following physical subsystems: (1) Roadside unit (RSU) network, (2) Traffic Control Unit (TCU) and Traffic Control Center (TCC) network, (3) vehicles and onboard units (OBU), (4) traffic operations centers (TOCs), and (5) cloud platform.

Abstract: A method of detecting a collision in a moving object includes: detecting, by the moving object, an object and an event; determining a situation as at least one of an emergency situation, a manageable situation, or a general situation in response to the detected object and the detected event; determining whether or not it is possible to transmit a warning message for the detected event to the detected object upon determining that situation is the manageable situation; and transmitting collision possibility information to the detected object based on a warning alarm system upon determining that it is impossible to transmit the warning message for the detected event to the detected object.

Abstract: An accident determination device comprising: a first sensor that detects an impact having occurred in a moving object; a second sensor that acquires position information of the moving object; an area determining unit that determines the area attribute of the area where said moving object is located; and a processor that compares impact value of the impact with a determination threshold. The processor sets the determination threshold according to the area attribute defined by the area determining unit. When the area attribute of the area indicates a parking space, the processor sets said determination threshold to be at a lower value than when the area attribute indicates a road. The processor determines whether the accident has occurred based on the result of comparing the impact value with said determination threshold.

Abstract: Information that was collected in time series in a moving body is delivered by wireless communication to a base station in a state in which real-time performance is high and omission of the information is reduced. An information transmission device installed in the moving body includes: a communication section; a position detection section; and a zone information storage section. An operation mode is periodically determined based on the current position and the zone information. When a first operation mode is determined, a predetermined attribute is assigned to new information. When a second operation mode is determined, new information and at least a part of information to which the attribute was assigned are transmitted to the base station. The attribute that had been assigned to the transmitted information among the information to which the attribute was assigned is removed.

Abstract: A monitoring system detects and mitigates traffic risks among a group of vehicles. The group of vehicles includes a ground-based vehicle (GBV), e.g. an automotive vehicle, and an air-based vehicle (ABV), e.g. a drone, which is operated to track a ground-based object (GBO), e.g. an unprotected road user or an animal. The monitoring system performs a method comprising: obtaining (301) predicted navigation data for the ground-based vehicle and the air-based vehicle, processing (302) the predicted navigation data to obtain one or more future locations of the ground based-object and to detect an upcoming spatial proximity between the ground-based object and the ground-based vehicle, and causing (305), upon detection of the upcoming spatial proximity, an alert signal to be provided to at least one of the ground-based object and the ground-based vehicle.

Abstract: Provided is a vehicle, including: a communicator configured to perform communication with a user terminal or a remote control device; a sensor configured to acquire surrounding information of the vehicle; and a controller including a processor configured to process the surrounding information. The controller is configured to identify a location of the remote control device based on the communication and transmit a warning message to the user terminal when an obstruction is identified between the identified location of the remote control device and a location of the vehicle, based on processing the surrounding information.

Abstract: An approach to autonomous navigation of a vehicle augments a static map of an environment with a clutter map characterizing a risk of encountering an object that is not represented in the static map of the environment. For example, the clutter map may be based on locations and velocities of those objects, and route planning may avoid planning a path through locations that have a high risk of occupancy, and therefore potential delay or collision.

Abstract: Vehicle drive assist systems, methods, and programs display an alert image superimposed on a real view on a display. The systems, methods and programs determine a blind spot area, the blind spot area being an area that becomes a blind spot of a driver of a vehicle due to a front obstacle present on a front side in a traveling direction of the vehicle. The alert image is displayed such that the alert image is superimposed on a target point, the target point being a point where traveling of the vehicle is likely to be influenced when there is a moving obstacle jumping out of the blind spot area.

Abstract: A driving support ECU initializes a target trajectory calculation parameter at a start of LCA; calculates, based on the target trajectory calculation parameter, a target trajectory function representing a target lateral position which is a target position of an own vehicle in a lane width direction in accordance with an elapsed time from the start of LCA; calculates a target control amount based on the target trajectory function; when a steering operation by a driver has been detected, again initializes the target trajectory calculation parameter; and recalculates the target trajectory function based on the target trajectory calculation parameter.

Abstract: Systems and methods are provided for generating a rear view image display for a motor vehicle. A rear view system includes an optical sensor disposed at the motor vehicle and configured to capture image data, a computational unit coupled to the optical sensor by a cable connection and configured to execute program instructions stored on a computer-readable medium to modify the image data for presentation, and a display device coupled to the computational unit and configured to receive the modified image data from the computational unit and display the modified image data to a driver of the motor vehicle. The computational unit is further configured to receive software calibration to optimize modification of the image data.

Abstract: A system for interactions with an autonomous vehicle includes a proprioceptive device; and a controller. The controller is configured to: detect a first condition external to the autonomous vehicle; generate a first proprioceptive output in response to the first condition, the first proprioceptive output changing a shape of the proprioceptive device; receive a first input force from the proprioceptive device; determine a first user input based on the first input force; and, based on the first user input, cause the autonomous vehicle to perform a navigation action.

Abstract: A vehicular vision system includes a camera disposed at an in-cabin side of a windshield of a vehicle. Responsive at least in part to processing of captured image data, the system determines a camera-derived path of travel of the vehicle along a road. Responsive at least in part to a geographic location of the vehicle, the system determines a geographic-derived path of travel of the vehicle along the road. Control of the vehicle along the road is based on diminished reliance on the determined geographic-derived path of travel when a geographic location reliability level of the determined geographic-derived path of travel is below a threshold geographic location reliability level. Control of the vehicle along the road is based on diminished reliance on the determined camera-derived path of travel of the vehicle when a camera reliability level of the determined camera-derived path of travel is below a threshold camera reliability level.