Abstract: A dual direction accident prevention (DDAP) and assistive braking system (ABS) which detects both the risk of a frontal accident and a rear accident and then coordinates braking to prevent both if possible while giving priority to preventing a frontal accident. In the event of an imminent rear collision with an object or vehicle in front of a driver, the system will choose a braking force which minimizes the impact of the rear collision, while determining a safe approach toward the front obstacle. Furthermore, if a vehicle is approaching the driver and an accident is imminent, and there is no further room in front to reduce the effect of the imminent impact, the system prepares the vehicle and driver by bracing for impact by applying emergency brakes, tightening seatbelts, etc.

Abstract: A vehicle includes: a capturer configured to obtain height information of a preceding vehicle; a sensor configured to obtain at least one of position information or speed information of the preceding vehicle and a leading vehicle; and a controller configured to determine a first distance between the preceding vehicle and a subject vehicle, to determine a second distance between the preceding vehicle and the leading vehicle, to determine an acceleration of the preceding vehicle based on a relative speed and a relative distance of the preceding vehicle and the leading vehicle, and to control at least one of braking or steering of the subject vehicle when the second distance is less than or equal to a collision prediction distance between the preceding vehicle and the leading vehicle and the acceleration of the preceding vehicle is less than a predetermined value.

Abstract: A method for certified control of a self-driving ego vehicle is described. The method includes analyzing a safety situation of the self-driving ego vehicle to determine a proposed vehicle control action using a main controller of the self-driving ego vehicle. The method also includes presenting, by the main controller, the proposed vehicle control action to an interlock controller, including a certificate of the proposed vehicle control action. The method further includes checking a safety certification evidence from the certificate by the interlock controller using a predefined safety argument to verify the safety certification evidence of the certificate. The method also includes directing, by a low-level controller, the self-driving ego vehicle to perform a certified vehicle control action.

Abstract: Provided is a vehicle control device (100) designed to control vehicle traveling, and includes: a surrounding vehicle detection part (10b) to detect a surrounding vehicle (3); a vehicle information receiving part (26) to receive information regarding a traveling state thereof; a speed distribution setting part (10d) to set a speed limit distribution (40) defining a permissible upper limit relative speed, around the surrounding vehicle; and a control part (10d) to control a speed and/or steering of an own vehicle (1) to satisfy the speed limit distribution set by the speed distribution setting part, wherein the speed distribution setting part is configured to set the speed limit distribution such that the speed limit distribution is different for when the information regarding the traveling state of the surrounding vehicle has been able to be acquired, and when no information has been able to be acquired.

Abstract: A wheel loader 100 includes a front working device 101, an automatic brake device that automatically applies braking to a vehicle body, a vehicle speed sensor 15 that detects a vehicle speed of the vehicle body, an angle sensor 37 that detects a height of the front working device 101, an obstacle detection sensor 29 that detects an obstacle present in surroundings of the vehicle body, and a brake controller 27 that controls operation of the automatic brake device on the basis of a detection signal from the obstacle detection sensor 29, wherein the brake controller 27 limits a braking force of the automatic brake device when the height h of the front working device 101 is equal to or greater than a predetermined height h1, or the vehicle speed v is equal to or greater than a predetermined vehicle speed v1, and the obstacle has been detected by the obstacle detection sensor 29.

Abstract: A sensor detects an obstacle to a vehicle. An alert device provides alert information for inquiring a passenger to determine whether to continue automatic driving when a distance between the obstacle and an end of the lane is equal to or larger than a width necessary for travel based on a width of the vehicle. An input device receives a passenger's manipulation to continue automatic driving in response the inquiry provided from the alert device. A command output unit outputs a command to ease lane-based restriction on continuation of automatic driving to an automatic driving control device when the manipulation in response is received.

Abstract: Various systems and methods for controlling a vehicle using driving policies are described herein.

Abstract: A method for controlling a motor vehicle (10) traveling on a road (12) in a current lane (14) is presented. The road (12) has at least one further lane (16) which is adjacent to the current lane (14) of the motor vehicle (10). The method comprises the following steps: A driving maneuver graph is generated and/or received, which contains information about at least two different driving maneuvers for the motor vehicle (10). One of the at least two possible driving maneuvers is selected by means of a machine learning module (36) which applies a machine learning method to the driving maneuver graph. A control device (30) for a system (26) for the control of a motor vehicle (10) is also proposed.

Abstract: A driving assistance device to properly recognize a relative positional relationship between mobile objects without the use of map information. The driving assistance device includes a relative position judgment section for judging a relative positional relationship of an object of interest and a first neighboring object relative to a second neighboring object, based on object-of-interest information and neighbor information, to make a judgment as a first judgment on a relative positional relationship between the object of interest and the first neighboring object, based on the aforementioned judgment result.

Abstract: A safety device for a vehicle including a memory configured to store instructions; one or more processors coupled to the memory to execute the instructions stored in the memory, wherein the instructions implement a safety driving model for the vehicle to determine a safety driving state for the vehicle, wherein determining includes obtaining data for one or more objects in a vehicle environment of the vehicle, wherein the data comprises motion data associated with at least one object of the one or more objects; determining a predicted motion trajectory for at least one object of the one or more objects; determining whether a risk indicating a risk of a collision for the vehicle and the at least one or more objects exceeds a predefined risk threshold; and generating an information that the risk exceeds the predefined risk threshold to be considered in determining the safety driving state for the vehicle.

Abstract: A vehicle control system includes a computer including a processor and a memory storing instruction executable by the processor to, in response to detecting hands being off a steering wheel for a threshold time while a lane-centering assist operation is active, steer a vehicle including the steering wheel from a center of a lane to a lateral position between the center of the lane and an edge of the lane; then steer the vehicle from the lateral position to the center of the lane; and then maintain the vehicle at the center of the lane.

Abstract: Disclosed is a lane information generating method that can generate lane information of an increasing or decreasing lane which increases or decreases from a traveling lane with high accuracy is provided. By determining characteristic points based not only on traveling trajectory information of a vehicle but also on the shape of the increasing line of the increasing lane increasing from two traveling lanes, a control unit can complementarily using information of a shape of the increasing line at a position at which variation is easily generated in the traveling trajectory, and thus generate the characteristic points as the lane information of an increasing line with high accuracy.

Abstract: In an apparatus for determining a traveling position of an own vehicle that is an autonomous driving vehicle equipped with the apparatus, a judgment section is configured to judge presence or absence of at least one of a travel history of other vehicles regarding the lane in which the own vehicle is traveling and an object that is located in the vicinity of the own vehicle within the lane in which the own vehicle is traveling and should be avoided coming into contact with. The traveling position is a widthwise position of the own vehicle within a lane in which the own vehicle is traveling. A determination section is configured to determine the traveling position using the travel history in response to the judgment section judging that the travel history exists and using position information of the object in response to the judgment section judging that the object exists.

Abstract: A system for control of a steering system of a vehicle. The system including an actuator for applying a force or a torque to the steering system. A force or torque can be superimposed on a force or torque originating from the wheels. The system includes a detection unit disposed on the vehicle and configured for anticipatorily detecting at least one surface condition of a surface section located ahead of the vehicle in the direction of vehicle travel and subsequently driven on by the vehicle. The system including a data processing unit disposed on the vehicle and connected to and communicating with the detection unit. The data processing unit configured for generating control signals for controlling an actuator of the steering system based on the detected surface condition.

Abstract: A vehicle control device includes a recognition unit configured to recognize surrounding conditions of a vehicle, a driving control unit configured to control a speed and a steering of the vehicle on the basis of a result of recognition from the recognition unit, and a reception unit configured to receive an operation of an occupant of the vehicle of selecting on which of a first path and a second path the vehicle is to travel at a branching point through which the vehicle passes. The driving control unit is configured to control the speed and the steering of the vehicle in a plurality of modes with different automation levels, to decrease the automation level at a point before the branching point, and to delay a time at which the automation level is decreased when the operation of selecting one of the first path and the second path is received by the reception unit in comparison with when the operation is not received.

Abstract: A vehicle control system includes a recognition unit recognizing a surrounding environment of an own vehicle, and a driving control unit controlling a speed or steering of the own vehicle on the basis of a recognition result from the recognition unit, in which the driving control unit causes the own vehicle to perform a first operation in which an inter-vehicle distance between a preceding vehicle and the own vehicle is reduced, and a second operation in which an inter-vehicle distance between the preceding vehicle and the own vehicle is increased after the first operation in a case where a change amount of another vehicle satisfies a predetermined condition or another vehicle is identified as a cutting-in vehicle, on the basis of one of a behavior or a position of another vehicle when another vehicle traveling in an adjacent lane that is adjacent to a traveling lane of the own vehicle changes lane to the traveling lane.

Abstract: The present disclosure relates to a method of generating a target operational speed band (53; 63; 67) for a host vehicle (1) travelling along a route. A first time-dependent obstacle (15-n, 18-n) is identified at a first location on the route. The first time-dependent obstacle (15-n, 18-n) is identified as hindering progress of the host vehicle (1) during a first time period (11). The first time-lin dependent obstacle (15-n, 18-n) is defined in a two-dimensional speed against distance map (50, 60). A first speed trajectory (51, 52; 61; 65, 66) is determined from a first point to a second point within the two-dimensional speed against distance map (50, 60). The second point represents the first location on the route and the determined first speed trajectory (51, 52; 61; 65, 66) represents the host vehicle (1) arriving at the first location at a first arrival time.

Abstract: A drive torque of an electric motor for driving a driveline included in a driveline assembly of a motor vehicle can be controlled as a function of the vehicle speed in such a way that, when the vehicle speed is below a predetermined threshold value, the electric motor is controlled in a high torque mode and, when the vehicle speed is above the threshold value, the electric motor is controlled in a low torque mode.

Abstract: An eco-friendly vehicle and a launch control method for an eco-friendly vehicle reduces an unpleasant secondary launch effect based on a gear alignment state of a transmission in a specific situation. The launch control method includes: determining a first condition for enabling a preset stop control when the first condition is satisfied; turning off a control for generating a creep torque of a motor when a brake is released; controlling a transmission in an open state and enabling the control for generating the creep torque; and when a second condition for revolutions per minute (RPM) of the motor is satisfied, controlling the transmission in a lock state through a slip state.

Abstract: A vehicle control apparatus includes a controller configured to perform creep traveling control in which a vehicle is caused to travel regardless of an accelerator operation. When one or both of front wheels or one or both of rear wheels of the vehicle are determined as having moved onto a step by the controller after the creep traveling control starts, the controller causes a target vehicle speed of the creep traveling control to be lower than a first target vehicle speed until the remaining wheels out of the front wheels and the rear wheels are determined as having moved onto the step. The first target vehicle speed is equal to the target vehicle speed having been set before a time when the one or both of the front wheels or the one or both of the rear wheels are determined as having moved onto the step.

Abstract: An automatic travel control unit (120) of this travel control device (100) makes a vehicle travel according to a travel schedule including driven travel and inertial travel. When an accelerator opening degree output from an accelerator sensor (31) exceeds a first threshold value, an inertial travel control unit (110) prohibits inertial travel, and when the accelerator opening degree is smaller than a second threshold value that is less than the first threshold value, the automatic travel control unit (120) performs a control operation so as to cancel the prohibition of inertial travel.

Abstract: Systems and methods are provided for creating more organic lane change models for autonomous or semi-autonomous operation of a vehicle. A plurality of data associated with a plurality of driver-performed lane change maneuvers is collected from a plurality of different vehicle. Driver-performed lane change maneuvers are discarded when determined to fall outside a threshold of safety. A generic model is generated from the non-discarded data for average lane change maneuvers. Specific models can be generated for different drivers, vehicle types, and other metrics by comparison with the generic model.

Abstract: A vehicle control device includes a driving controller configured to control a speed and steering of a vehicle to perform an automatic lane change, in which the driving controller limits the automatic lane change when it is detected that the vehicle is in a first area having a length of a first distance in a longitudinal direction of a road with a starting point of a specific road structure set as a reference or in a second area having a length of a second distance in the longitudinal direction of the road with an end point of the specific road structure set as a reference on the basis of information of at least one of an external recognition result and map information.

Abstract: A driving support device wherein an own vehicle and a peripheral vehicle are symbolized, and relative dispositions are displayed in real time in a display unit visible to the driver, is obtained to facilitate a lane change by a driver. The driving support device includes a vehicle detecting unit, which detects peripheral vehicles positioned in a periphery of a vehicle, and an image generating unit, which generates an image representing positions of the vehicle and the peripheral vehicles from vehicle information obtained by the vehicle detecting unit. The image generating unit generates a driving support image including vehicle information representing relative dispositions of the vehicle and the peripheral vehicles using symbols indicating the vehicle and the peripheral vehicles. The image generating unit includes an image stacking unit, which generates original data of the driving support image, and an image control unit, which cuts a necessary portion from the original data.

Abstract: Users within transit in a vehicle may initiate location queries to fulfill a set of interests, such as stops for food, fuel, and lodging. A device may fulfill the queries according to various factors, such as the distance of nearby locations to the user or to another location specified by the user, and the popularity of various locations. However, the user may not have specified or even chosen a route, and may wish to have interests fulfilled at a later time (e.g., stopping for food in 30 minutes), and a presentation of search results near the user's current location may be unhelpful. Presented herein are techniques for fulfilling location queries that involve predicting a route of the user, and identifying a timing window for the query results (e.g., locations that are likely to be near the user's projected location when the wishes to stop for food in 30 minutes).

Abstract: A system includes a computer comprising a processor and a memory. The memory stores instructions such that the processor is programmed to determine, based on vehicle lidar sensor data, a reflectivity of an area of a road surface, and to determine whether the area is wet based on the determined reflectivity of the area, a dry-condition reflectivity threshold for the area, and an angle of viewing the area from the lidar sensor.

Abstract: Disclosed is a vehicle road load compensation system that includes an accelerator pedal, a throttle, a transmission wherein a vehicle torque is generated proportional to the transmission gear and the motor power, and a control unit disposed within the vehicle and configured to receive real-time sensor data relating to the road load of the vehicle. The control unit includes a real-time throttle map relating the accelerator pedal position to the throttle position, such that a given accelerator pedal position directs a corresponding target throttle position. The control unit also includes a real-time shift map relating a desired transmission gear to a current transmission gear, vehicle speed, and throttle position. In response to the sensor data, the control unit updates the throttle map and shift map such that the vehicle torque is altered based on the road load of the vehicle. The controller may also update a real-time torque converter lockup map.

Abstract: A slope estimation device estimates a slope of a vehicle traveling road, and includes an input section that acquires a detected value of an acceleration sensor for detecting acceleration in a front-back direction of the vehicle, a centripetal force detecting section that detects centripetal force acting on the acceleration sensor due to a turning motion of the vehicle, and a slope computing section that computes the slope of the vehicle traveling road based on the detected value of the acceleration sensor. When the vehicle is in the turning motion, the slope computing section computes the slope of the traveling road by determining a component of the centripetal force superimposed on the detected value of the acceleration sensor based on a turning center position of the vehicle, a gravity center position of the vehicle, and an installation position of acceleration sensor, and subtracting the component of the centripetal force from the detected value of the acceleration sensor.

Abstract: System, methods, and other embodiments described herein relate to identifying when a situational awareness of a vehicle is inconsistent with a surrounding environment. In one embodiment, a method includes analyzing occupant sensor data about at least one occupant of the vehicle to generate a reaction level of the occupant. The reaction level characterizes at least a current response of the occupant to the surrounding environment and control of the vehicle within the surrounding environment. The method includes comparing an expected reaction for the occupant with the reaction level to determine whether the reaction level of the occupant correlates with the situational awareness of the vehicle about the surrounding environment. The method includes, in response to identifying that the reaction level does not correlate with the expected reaction, executing, by the vehicle, a responsive action to account for inconsistencies in the situational awareness of the vehicle.

Abstract: A driver monitoring system for a vehicle includes a camera and an ECU. The camera is disposed at an interior of the vehicle so as to view the face of a driver of the vehicle. The camera captures image data and the captured image data includes image data representative of the face of the driver. The ECU includes electronic circuitry and associated software, with the electronic circuitry including an image processor that processes image data captured by the camera. The ECU, responsive to processing by the image processor of image data captured by the camera, determines a heart rate of the driver.

Abstract: A method is provided for predicting a risk for rollover of a working machine for load transportation. The method includes: obtaining ground topographic data of a geographical area located close to the working machine from a ground topographic detection system; extracting a ground gradient from the ground topographic data; obtaining weight information of the load being currently transported by means of an on-board load weighting system or by receiving load information originating from the device that loaded the load being currently transported; determining a current maximal allowed ground gradient for the working machine based on the weight information; and predicting a risk for working machine rollover if the working machine approaches a geographical area including a ground gradient exceeding or being close to the current maximal allowed ground gradient for the working machine.

Abstract: A vehicle hitching assistance system includes a steering system including a vehicle steering wheel, a powertrain control system including an accelerator and a gear selector, a brake system including service brakes and a parking brake, and a controller. The controller executes an automated hitching maneuver, monitors the system for an interruption event. Upon identifying a standard interruption event, the controller causes the steering wheel to move to a centered position, causes the gear selector to engage a park mode, engages the parking brake, and ceases control of the steering system, the powertrain control system and the brake system. Upon identifying an exception interruption event, the controller ceases control of the steering system, the powertrain control system, and the brake system without causing the steering wheel to move to the centered position.

Abstract: A vehicle and a vehicle controlling method are provided. The vehicle includes a computing system; a vehicle controlling module coupled to the computing system; and a positioning module coupled to the computing system and the vehicle controlling module. The vehicle controlling module receives a safe stop path and a fusion coordinate from the computing system. When the vehicle controlling module determines that an abnormality occurs in the computing system, the vehicle controlling module receives a positioning coordinate from the positioning module and calculates an offset corresponding to the positioning coordinate and the fusion coordinate. The vehicle controlling module transmits a vehicle controlling command to the vehicle according to the offset and the safe stop path.

Abstract: Diagnosing a sensor processing unit of an autonomous driving vehicle is described. An example computer-implemented method can include transmitting an executable image of a sensor processing application from a host system to the sensor processing unit via at least one of a universal asynchronous receiver-transmitter (UART) or an Ethernet connection. The method also includes causing the sensor processing unit to execute and launch the executable image of the sensor processing application in the DRAM from the eMMC storage device. The method also includes transmitting a sequence of predetermined commands to the executed sensor processing application to perform a plurality of sensor data processing operations on sensor data obtained from a plurality of sensors or sensor simulators associated with an autonomous driving vehicle.

Abstract: A system and a method for automatically configuring a road sensor unit. Embodiments of the invention include detecting, by the road sensor unit, an identification unit of a road socket unit upon insertion of the road sensor unit into the road socket unit, reading, by the road sensor unit, a unique designation of the identification unit of the road socket unit, transmitting, by the road sensor unit, the unique designation and a unique sensor identification of the road sensor unit to a remote server, receiving, by the road sensor unit from the remote server, unique parameters, wherein the unique parameters are based on the unique designation of the identification unit, configuring, by the road sensor unit, the road sensor unit to operate based on the unique parameter and operating said road sensor unit with the configuration.

Abstract: A method for monitoring and/or detecting a sensor system of a vehicle comprises a step of identifying a parameter value using a response signal, and a step of determining a monitoring signal that can be allocated to the sensor system, said determination being carried out using the parameter value and a predetermined reaction value.

Abstract: A vehicle control device includes a recognizer configured to recognize a surrounding situation of a vehicle and a driving controller configured to control a speed or steering of the vehicle based on a recognition result of the recognizer. The driving controller selects one of a plurality of traveling states in which rates of automation related to control of the vehicle are different from each other. The driving controller switches the selected traveling state to the traveling state different from the traveling state selected among the plurality of traveling states when a continuous traveling time or a continuous traveling distance that the vehicle continuously travels in the selected traveling state exceeds a standard value.

Abstract: A distraction detection system includes using a first signal, e.g., EDP signals or vehicle speed, and an additional signal to determine whether a person is distracted. The distraction system can be part of a vehicle seating system, A vehicle seating system is described and includes a seat configured to support an occupant and to be mounted in a vehicle and occupant sensing system at least partially integrated into the seat to sense an occupant. The sensing system senses a first criterion with respect to the occupant. A controller is configured to receive the first criterion signal from the sensing system and a second criterion to determine a distraction state of the driver. The controller can also determine a false distraction state using the distraction state and other criterion in a vehicle. The controller outputs a control signal when the distraction state exceeds a distraction threshold and when distraction is confirmed.

Abstract: A method for recognizing a dangerous action of personnel in a vehicle, an electronic device, and a storage medium are provided. The method includes: obtaining at least one video stream of the personnel in the vehicle through an image capturing device, each video stream includes information about at least one of the personnel in the vehicle; performing action recognition on the personnel in the vehicle based on the video stream; and responsive to that a result of the action recognition belongs to a predetermined dangerous action, performing at least one of: sending prompt information, or executing an operation to control the vehicle, wherein the predetermined dangerous action includes at least one of the following action representations of the personnel in the vehicle: a distraction action, a discomfort state, or a non-standard behavior.

Abstract: A server device configured to communicate with a communication device mounted in a vehicle, the server device includes a controller configured to execute acquiring a position of an emergency vehicle, specifying a non-emergency vehicle at a predetermined distance from the position of the emergency vehicle, and transmitting, to a communication device mounted in the non-emergency vehicle, a communication stop request as information for prompting an occupant of the non-emergency vehicle to stop use of wireless communication.

Abstract: Disclosed is a system and method for generating a vehicle speed alert in a driving simulation system that communicates with a remote driving simulator engine and a remote speed optimization engine. The remote speed optimization engine receives data from the vehicle speed alert system after the vehicle speed alert system has received data from the remote driving simulator engine, including the vehicle's simulated distance to a signalized intersection, the time remaining for the simulated traffic light to change, and the current simulated light status (green, yellow, red) of the traffic light. The vehicle speed alert system then receives from the remote speed optimization engine a recommended speed profile for that given instant, and if the driver's current speed does not fall within some maximum difference with the current recommended speed profile, calculates and transmits an alert to an output device to alert the driver of action necessary to achieve the recommended speed profile.

Abstract: A collision visualization device includes an identification unit analyzing vehicle traveling information in which information representing at least a type and occurrence time of an event generated in a vehicle to be analyzed in a time period including occurrence time of a collision or each of a series of collisions occurring for the vehicle, is recorded in accordance with occurrence order, and identifying a state of the vehicle in the time period, and a visualization unit causing a display device to display an iconic image representing the state of the vehicle identified by the identification unit.

Abstract: Centralized shared scenario-specific operational control management includes receiving, at a centralized shared scenario-specific operational control management device, shared scenario-specific operational control management input data, from an autonomous vehicle, validating the shared scenario-specific operational control management input data, identifying a current distinct vehicle operational scenario based on the shared scenario-specific operational control management input data, generating shared scenario-specific operational control management output data based on the current distinct vehicle operational scenario, and transmitting the shared scenario-specific operational control management output data.

Abstract: An unmanned vehicle control system includes: a travel condition data acquisition unit that acquires travel condition data specifying a travel condition of an unmanned vehicle, the travel condition data including a target travel speed and a target azimuth of the unmanned vehicle at each of a plurality of travel points; a travel condition change unit that outputs a change command to change the travel condition specified by the travel condition data based on a difference in the target azimuth among the plurality of travel points; and a travel control unit that outputs a control command to control traveling of the unmanned vehicle based on the change command.

Abstract: An intelligent driving method comprising: obtaining feature parameters of a vehicle at a current moment and a road attribute of a driving scenario of the vehicle in a preset future time period; comparing the feature parameters at the current moment with feature parameters of a standard scenario in a scenario feature library; comparing the road attribute of the driving scenario of the vehicle in the preset future time period with a road attribute of the standard scenario in the scenario feature library; determining a total similarity of each scenario class to a driving scenario of the vehicle at the current moment based on comparing results; determining, as the driving scenario at the current moment, a first scenario class with a highest total similarity in N scenario classes; and controlling, based on the determining result, the vehicle to perform intelligent driving.

Abstract: A driving assistance apparatus performs a delinquent driving detection process. The delinquent driving detection process includes: inquiring of an external database, using information on one or more other vehicles in a vicinity of the vehicle and/or area information including a point where the vehicle is positioned, about whether there is a delinquent driving vehicle that has performed delinquent driving among the one or more other vehicles; detecting presence or absence of delinquent driving by the one or more other vehicles based on an inquiry result from the database; generating, in response to detection of the presence of the delinquent driving, delinquent driving vehicle information including ID information of a delinquent driving vehicle that performs the delinquent driving and traveling trajectory information of the delinquent driving vehicle and the vehicle; and requesting the database that the delinquent driving vehicle information be registered or updated.

Abstract: A path providing device for providing a route to a vehicle includes a first communication module configured to receive a high-definition (HD) map information from an external server, a second communication module configured to receive external information generated by an external device located within a predetermined range from the vehicle, and a processor configured to generate forward path information for guiding the vehicle based on the HD map and provide the forward path information to at least one of electric components provided in the vehicle. The processor is configured to generate dynamic information related to an object to be sensed by the at least one of the electric components based on the external information and to match the dynamic information to the forward path information.

Abstract: A fallback safety system for a vehicle equipped with a platooning system is configured to detect an operating state and a functional failure of the platooning system of the vehicle and to detect a distance of the vehicle to a vehicle driving in front with a sensor system of the vehicle. Further, in the case of a detected functional failure of the platooning system during a convoy driving operation of the vehicle controlled by the platooning system, the fallback safety system is configured to initiate braking of the vehicle and to adjust a braking acceleration of the vehicle during the initiated braking depending on the detected distance of the vehicle to the vehicle driving in front.

Abstract: A vehicle assistance system comprising a computer and a client device. The computer is configured to receive an identification reference and a current position of the first vehicle, provide a route of the first vehicle based on the identification reference and the current position of the first vehicle, receiving an identification reference and current position of a second vehicle, providing a route of the second vehicle based on the identification reference and the current position of the second vehicle, detect an expected location where the route of the first and second vehicle intersect or overlap, detect an expected time when the first and second vehicle intersect at the expected location, generate adaptation data based on the expected location and the expected time, the adaptation data representing an adaptation of a route parameter of the route of the first or second vehicle, sending the adaptation data to the client device.

Abstract: A path providing device for a vehicle configured to communicate with a repeater includes: a telecommunication control unit configured to perform communication with the repeater, and a processor. The processor is configured to receive, from the repeater, EHP information comprising at least one of an optimal path providing a direction with respect to one or more lanes or autonomous driving visibility information in which sensing information is merged with the optimal path, and distribute the received EHP information to at least one electrical part disposed at the vehicle.