Abstract: The invention relates to a variable speed limit (VSL), ramp metering (RM), and a collaborative method of variable speed limit and ramp metering (VSL-RM) on expressways based on crash risk, including the following steps: 1) calculating the crash risk index within each control step, activating the VSL-RM strategy when the crash risk index exceeds the threshold of the crash risk index, and 2) conduct a multiple-ramp metering strategy, determine the ramps to be controlled and the start-up time for RM, and calculate the integrated ramp regulation rate; 3) execute a variable speed limit strategy to obtain the displayed speed limit value for the segment downstream of the cluster and adjust the ramp regulation rate, mainline desired speed and mainline speed of the segment for the next time period accordingly.

Abstract: A control system for use in a motor vehicle is used for monitoring a current driving situation of the motor vehicle, based on surroundings data of the host motor vehicle in the current driving situation, obtained from at least one surroundings sensor situated on the host motor vehicle. The control system is used to recognize lanes, lane boundary lines, lane markings, and/or other motor vehicles in an area in front of, to the side of, and/or behind the host motor vehicle. In addition, the control system is used to determine at least one driving parameter for each other motor vehicle present in the surroundings of the host motor vehicle, based on the provided surroundings data, and to generate a plurality of possible trajectories for the future travel course for each of the other motor vehicles, based on the driving parameter determined in each case.

Abstract: A trajectory generating method includes a first generating process of generating a plurality of trajectories between a start teaching point and a target teaching point, an evaluation process of evaluating a motion of the robot arm on each trajectory to calculate an evaluation value of each trajectory, a selection process of selecting one of the plurality of trajectories based on calculated evaluation values, and an update process of updating the trajectory by repeating the processes of generating a plurality of new trajectories by changing a selected trajectory in the selection process, of calculating an evaluation value of a motion of the robot arm on each changed trajectory and of selecting a trajectory based on calculated evaluation values.

Abstract: Systems and methods are provided for detecting objects of interest. A computing system can input sensor data to one or more first machine-learned models associated with detecting objects external to an autonomous vehicle. The computing system can obtain as an output of the first machine-learned models, data indicative of one or more detected objects. The computing system can determine data indicative of at least one uncertainty associated with the one or more detected objects and input the data indicative of the one or more detected objects and the data indicative of the at least one uncertainty to one or more second machine-learned models. The computing system can obtain as an output of the second machine-learned models, data indicative of at least one prediction associated with the one or more detected objects. The at least one prediction can be based at least in part on the detected objects and the uncertainty.

Abstract: A method for operating a motor vehicle, in particular a motorcycle, in which a driving maneuver, which includes a lane change and/or a passing maneuver, is carried out in an at least partially automated manner. The acceleration dynamics of the motor vehicle are adjusted as a function of the relative speed of at least one other motor vehicle, for example of a motor vehicle preceding and/or approaching from behind, as the driving maneuver is carried out.

Abstract: Provided herein is a system on a vehicle, the system comprising an active Doppler sensor; one or more processors; and a memory storing instructions that, when executed by the one or more processors, causes the system to perform: obtaining a Doppler signature from each of one or more entities; and calibrating the active Doppler sensor based on the Doppler signature from at least a portion of the one or more entities.

Abstract: The position of a watercraft is detected by monitoring GPS position data, and the speed of the watercraft is reduced to a selected limit upon detecting that the watercraft has traveled outside of a selected boundary and is maintained until it is detected that the watercraft has been back within the boundary for a selected time interval, thereby avoiding up and down jerking motion of the watercraft which can occur when only a single location test is used to confirm that the watercraft is back in bounds. An RF transceiver and related control apparatus is employed for detecting other watercraft approaching too closely to the watercraft, and a display is provided for displaying various status and warning indications.

Abstract: An example operation includes one or more of determining, via a server, a dangerous area on a route of a transport, wherein the dangerous area is based on a new condition of an area, sending a notification to the transport, via the server, of the dangerous area and the new condition and performing, via the transport, at least one atypical action to traverse the dangerous area until a resolution of the new condition occurs, wherein the atypical action comprises one or more movements that do not typically occur on or around the dangerous area.

Abstract: There is provided a travel control apparatus. A control unit controls a position of the self-vehicle in a width direction so as to ensure a first predetermined interval between the self-vehicle and the other vehicle and to ensure a second predetermined interval between the self-vehicle and the boundary of the first lane. In a case in which both the first predetermined interval and the second predetermined interval cannot be ensured, the control unit controls the position of the self-vehicle in the width direction to preferentially ensure the first predetermined interval when the other vehicle has crossed a first boundary between the first lane and the second lane and to preferentially ensure the second predetermined interval when the other vehicle has not crossed the first boundary.

Abstract: A radar system includes a substrate, a first received antenna, a second receive antenna, and radio frequency (RF) circuitry. The substrate includes a first side and a second side. The first side is opposite the second side. The first receive antenna is disposed at the first side and is configured to receive a first reflected RF signal. The second receive antenna is configured to receive a second reflected RF signal. The RF circuitry is operatively coupled to the first receive antenna and the second receive antenna. The RF circuitry is configured to detect a first object located on the first side of the substrate according to the first reflected RF signal. The RF circuitry is further configured to detect biometric data from a second object located on the second side of the substrate according to the second reflected RF signal.

Abstract: A mobile vehicle includes one or more wheels, a sensor configured to detect the position of a follow target, and a controlling section configured to control the one or more wheels based on a detection result of the sensor such that the mobile vehicle follows the follow target. The controlling section is configured to determine a change point at which the traveling direction of the follow target has changed based on the detection result of the sensor, and to set a target point based on the change point.

Abstract: A system for establishing positioning map data and a method for the same are provided.

Abstract: A method for capturing a surrounding region of a motor vehicle, in which, while the motor vehicle is moved relative to an object in the surrounding region, sensor data are received in each case at predetermined times from a distance sensor by a control device and the object is classified as a static or as a moving object by the control device on the basis of the received sensor data, wherein a distance value is determined by the control device for each of the predetermined times on the basis of the sensor data, said distance value describing a distance between the distance sensor and at least one predetermined point of reflection of the object, and a curve of the distance values as a function of time (t) is compared to a predetermined reference curve for the purposes of classifying the object.

Abstract: A method for traffic management of autonomous vehicles in emergency situations is disclosed. Upon receipt of an emergency signal including information on an anomalous traffic condition by an autonomous vehicle, the method includes broadcasting the emergency signal using a wireless communication device. The method further includes establishing an ad hoc wireless network among a plurality of autonomous vehicles and exchanging data among the vehicles of the network. The method further includes collaboratively computing intent instructions for the vehicles of the network to avoid or mitigate the anomalous traffic condition, distributing the instructions among the vehicles of the network, and executing the instructions by each corresponding vehicle.

Abstract: A driving support system detects a deceleration object ahead and starts deceleration assistance for a host vehicle. The driving support system includes a reliability calculation unit configured to calculate a reliability of detection of the deceleration object, an assistance mode selection unit configured to select an assistance mode of the deceleration assistance from among multiple assistance modes in accordance with the calculated reliability of detection, and a driving support unit configured to perform the deceleration assistance in the selected assistance mode. The assistance mode selection unit is configured to select a first assistance mode when the reliability of detection is lower than a predetermined reliability threshold and select a second assistance mode higher in a level of the deceleration assistance than the first assistance mode when the reliability of detection is higher than or equal to the reliability threshold.

Abstract: An expert model unit 81 generates predicted expert control actions based on an expert model which is a machine learning model trained using data collected when an expert operated a plant which is a control target or a plant of the same or similar characteristics. A transformer 82 constructs metrics or error measures involving the predicted expert control actions from the expert model unit 81 as an objective term. A combiner 83 collects different objective terms from the transformer 82 and a learner which outputs machine-learning models as objective terms and computes an optimal set of weights or combinations of the objective terms to construct an aggregated cost function for use in an optimizer.

Abstract: A method including operations to obtain a planned driving action for accomplishing a navigational goal of a host vehicle on a roadway, identify a planned trajectory for the host vehicle, corresponding to the planned driving action, identify, from sensor data representative of an environment of the host vehicle, an occluded location of a potential object that is occluded from view of the host vehicle, identify a possible trajectory of the potential object, based on possible movement of the potential object from the location into the roadway, identify an intersection of the planned trajectory for the host vehicle with the possible trajectory for the potential object, determine a safety action of the host vehicle to respond to the possible movement of the potential object, and apply the safety action to change the planned driving action of the host vehicle.

Abstract: A method determines one or more lanes of a road in an environment of a vehicle, by receiving a plurality of objects in the environment of the vehicle; receiving a plurality of trajectories of the plurality of objects in the environment of the vehicle; estimating a shape of a road based on the plurality of trajectories of the plurality of objects; and determining one or more lanes of the road using the estimated shape of the road and the plurality of objects and/or the plurality of trajectories of the plurality of objects.

Abstract: An automatic driving system that is mounted in a vehicle includes: an information acquiring device configured to acquire driving environment information indicating a driving environment of the vehicle; and a running control device configured to execute lane change control from a first lane to a second lane, and set a lane change time which is a time required for lane change The running control device is configured to set an initial value of the lane change time, determine whether a moving object having a highest degree of approach to the vehicle is present in the second lane, and change the initial value based on a relative position of the moving object with respect to the vehicle and a relative speed of the vehicle with respect to the moving object when it is determined that the moving object having the highest degree of approach is present in the second lane.

Abstract: Embodiments are directed towards the interpretation of driver intent and communication of that intent with autonomous vehicles at a traffic intersection. A computing device that sits on the dashboard of a vehicle includes at least one camera, an output device, and circuitry. The computing device captures first images of the driver in the vehicle and second images of the traffic intersection. The computing device identifies another vehicle at or approaching the intersection based on an analysis of the second images. The computing device determines an attention direction and hand movement of the driver based on an analysis of the first images to determine a driving intent of the driver. The computing device provides information to the other vehicle indicating the driving intent of the driver. The computing device may also obtain the driving intent of the other vehicle and provide information to the driver indicating the other vehicle's intent.

Abstract: When there is a possibility of collision between a host vehicle and objects positioned in a detection region in front of the host vehicle, an ECU implements collision avoidance control for preventing the host vehicle from colliding with an object. The ECU detects the objects positioned in the detection region and judges whether, among the detected objects, there is an object that the host vehicle has overtaken and that is capable of moving within a prescribed range in the vehicle width direction of the host vehicle. If it is judged that the host vehicle is turning to the left or to the right after it has been judged that the host vehicle has overtaken an object, the actuation timing of the collision avoidance control is advanced.

Abstract: A method of tracking at least one emergency service provider is disclosed. An electronic history is compiled that includes at least one identifier of a service provider, at least one identifier of an event to which the service provider responded, and GPS data identifying the geographic location of the service provider at each time interval within the duration of the event. A user interface within which is displayed a first identifier of a first event is generated to a display device. A selection of the event identifier is received from a user. In response to the selection of the identifier, an aerial view of a geographic region within which the first event took place is generated. At least one icon is displayed in the aerial view representing the service provider at the geographic location corresponding to at least one time interval during the event.

Abstract: A method for a collision risk calculation includes: executing acquisition processing that includes acquiring travel information regarding a position and velocity of each of a first vessel and a second vessel; executing region calculation processing that includes calculating a region having a possibility of future collision between the first vessel and the second vessel from the travel information of each of the first vessel and the second vessel; and executing first risk calculation processing that includes calculating a first risk value based on a maneuvering amount used by the first vessel or the second vessel in order to avoid the region.

Abstract: In a method for operating a vehicle, a planning map and a localization map are provided, the vehicle is localized on the localization map, a map corridor indicated in the planning map is selected based on the localization, a sensor corridor is ascertained using a sensor unit of the vehicle, and the map corridor is compared to the sensor corridor. Using a specified threshold value for a deviation between the map corridor and the sensor corridor, it is decided whether the map corridor and the sensor corridor are identical. The map corridor is utilized for operating the vehicle if the map corridor and the sensor corridor are identical, and the sensor corridor is utilized for operating the vehicle if the map corridor and the sensor corridor are not identical.

Abstract: Provided are a work point position computing section configured to compute the relative position of a work point set on a bucket with respect to an upper swing structure on the basis of posture information, a target surface setting section configured to set a target surface as a target of excavation work on the basis of design surface information, a primary operation determining section configured to determine which of operations of a boom and an arm is a primary operation as a main operation when the work point is moved along the target surface, and a recommended operation computing section configured to compute a recommended operation amount and a recommended operation direction of a secondary operation as another operation different from the primary operation in the operations of the boom and the arm according to an operation amount and an operation direction of the primary operation.

Abstract: A vehicle identification method and system are provided. The method includes: identifying a first vehicle to be a second vehicle based on a first group of data and a second group of data, the first group of data representing information of the first vehicle obtained through at least one sensor, and the second group of data representing information received from the second vehicle through an inter-vehicle communication network. By the method, an identity of the first vehicle in the inter-vehicle communication network can be known, the first group of data may be used to check the accuracy of the second group of data, and the second vehicle may be still tracked even if it is out of sight of the at least one sensor.

Abstract: A vehicle may determine that it is stopped and detect a perimeter-modification event predefined as correlating to a changed vehicle perimeter. The vehicle may further, responsive to the perimeter-modification event, define an expanded vehicle perimeter, larger than a perimeter predefined as representing the vehicle in travel. The perimeter expansion may be done in accordance with a predefined modification associated with the detected perimeter modification event. The vehicle may additionally wirelessly share the expanded vehicle perimeter with at least one other vehicle.

Abstract: According to a non-limiting example embodiment, a remote control device includes a display configured to display a risk map; an input interface configured to input a travel route for an object to move along; a computing device, including at least one processor, the computing device configured to: receive obstacle information detected as the object moves along an actual travel route based on the travel route, and receive route information of the actual travel route of the object; and reset the travel route inputted by the input interface to a reset travel route in real time based on a mission given to the object or a risk level in each of a safe area and a dangerous area displayed on the risk map.

Abstract: Adjusting inconsistencies and inaccuracies in location perception, one or more computer processors identify data indicating a location of a computing device; detect a subsequent computing device within a threshold proximity to the computing device; receive data indicating a location of the subsequent computing device; determine a first location reliability score for the identified data indicating the location of a computing device and a second location reliability score for the received data indicating the location of the subsequent computing device; calculate one or more location corrective parameters for the computing device based, at least in part, on the identified data indicating the location of the computing device, the received data indicating the location of the subsequent computing device, the first location reliability score, and the second location reliability score; adjust the data indicating the location of the computing device based on the calculated one or more location corrective parameters.

Abstract: In a vehicular control apparatus, a minimum operating voltage of a first characteristic device is set to be lower than a minimum operating voltage of a second characteristic device. A supply voltage controller is provided between a controller and the second characteristic device to prevent an occurrence of a situation where a supply voltage of a device power supplied to the second characteristic device becomes less than an input voltage of a signal line of a control signal transmitted from the controller to the second characteristic device.

Abstract: An autonomous mobile device (AMD) moves through a physical space without human intervention. Data from sensors on the AMD is used to determine an occupancy map indicative of obstacles and their locations in the physical space. Obstacles may be static, variable, or dynamic. For example, walls are static, doors which open and close are variable, and people moving through the environment are dynamic. Regions in the occupancy map that the AMD has visited but which are shown by the occupancy map as containing obstacles are identified as being variable regions. To determine possible paths through the physical space during autonomous movement, the variable regions are considered to be unoccupied by obstacles and traversable. Information about how often the variable region transitions between traversable and impassible states may also be used to determine the possible paths.

Abstract: A method for determining surface characteristics is disclosed. The method may include transmitting a surface penetrating radar (SPR) signal towards a surface from a SPR system. The method may also include receiving a response signal at the SPR system. The response signal may include, at least in part, a reflection of the SPR signal from a surface region associated with the surface. The method may further include measuring at least one of an intensity and a phase of the response signal. The method my additionally include determining, based at least in part on the at least one of the intensity and the phase of the response signal, a surface characteristic of the surface.

Abstract: Methods and computer devices for determining an angular offset of a radar system having been mounted on a vehicle having a forward direction of travel along a surface. The angular offset is an angle between the scanning direction and the forward direction. The method includes receiving radar data from the radar system. The method includes determining projections of an immobile object velocity in the scanning direction and a direction perpendicular to the scanning direction. The method also includes determining the angular offset of the radar system based on at least one of the projections of the immobile object velocity.

Abstract: A moving body detection system detects a moving body that is present in a blind spot of a driver of a host vehicle. A main control device of the moving body detection system executes a first terminal signal acquisition process for acquiring, as a first terminal signal, a signal that a reception device has received from a first terminal control device. When the first terminal signal is acquired by the process, the main control device determines whether a blind-spot condition that a moving body is present in the blind spot is met based on the acquired first terminal signal. The main control device executes the process on a first cycle when it is determined that the condition is not met, and executes the process on a second cycle that is shorter than the first cycle when it is determined that the condition is met.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a future occupancy prediction for a region of an environment. In one aspect, a method comprises: receiving sensor data generated by a sensor system of a vehicle that characterizes an environment in a vicinity of the vehicle as of a current time point, wherein the sensor data comprises a plurality of sensor samples characterizing the environment that were each captured at different time points; processing a network input comprising the sensor data using a neural network to generate an occupancy prediction output for a region of the environment, wherein: the occupancy prediction output characterizes, for one or more future intervals of time after the current time point, a respective likelihood that the region of the environment will be occupied by an agent in the environment during the future interval of time.

Abstract: A method for perceiving physical bodies comprises the following steps: a) acquisition of a plurality of distance measurements of the physical bodies, arising from one or more sensor; b) application of an inverse sensor model on an occupancy grid to determine a probability of occupancy of a set of cells of the grid; and c) construction of a consolidated occupancy grid by fusion of the occupancy probabilities estimated during step b); wherein the inverse sensor model is a discrete model, associating with each cell of the corresponding occupancy grid, and for each distance measurement, a probability class chosen inside one and the same set of finite cardinality and identified by an integer index; and wherein step c) is implemented by means of integer computations performed on the indices of the probability classes determined during said step b). A system for perceiving physical bodies is also provided.

Abstract: A braking assistance device for a vehicle includes an object sensing unit for sensing an object, an intersection entry determination unit for determining entry of a host vehicle into an intersection, and a braking assistance execution unit for executing braking assistance by a braking device so as to avoid or mitigate collision with the object. If the host vehicle is determined to be entering the intersection, the braking assistance execution unit determines, based on a sensing result from the object sensing unit, a traffic environment at the intersection, and controls execution of the braking assistance in accordance with the determined traffic environment.

Abstract: An apparatus that detects a tilt, lean, movement and/or rotation and/or change in tilt, lean, position and/or rotation of a user, rider, and/or payload which may use sensors configured to accomplish this detection, where sensors may be on, embedded in and/or attached to a structural device, strap, and/or surface of a vehicle, structure or system, where an apparatus of the present invention may be on, part of, in, attached to or connected to a vehicle, structure or system where detecting, measuring and/or determining a lean, tilt, movement and/or rotation or change thereof, of a user, rider, and/or payload, may be desirable; position or movement and/or center of mass or change thereof may be calculated, or detected; calculations, measurements, metrics or detections from the present invention may be an output or the only output of an apparatus that is an embodiment of the present invention.

Abstract: A vehicle control system includes: a recognizer configured to recognize a surrounding situation of an own vehicle; a determiner configured to determine whether a condition for lane changing of the own vehicle from an own lane to an adjacent lane is satisfied based on the surrounding situation recognized by the recognizer; and a traveling controller configured to control steering and a deceleration or acceleration speed of the own vehicle and perform lane-changing control to change the own lane to the adjacent lane when the determiner determines that the condition is satisfied. The lane-changing control is inhibited when a speed of the own vehicle is equal to or less than a predetermined speed.

Abstract: The present disclosure relates to a method for forming a local navigation path for an autonomous vehicle (100, 102), specifically using a plurality of path detection modules (206) and obstacle avoidance modules (208) individually targeted towards specific path and obstacle conditions, respectively. The present disclosure also relates to a navigation path determination system (200) and to a corresponding computer program product.

Abstract: A safe control method and a safe control system for performing control relative to an authorized flight envelope of an aircraft. The aircraft includes a digital main measurement system for measuring flight characteristics of the aircraft, a flight control system for automatically piloting the aircraft, and said safe control system. The safe control system includes an analog backup measurement system that delivers at least one analog signal that is a function of the at least one flight characteristic, and a switch-over device that is configured so that the flight control system uses the at least one analog signal delivered by the backup measurement system for automatically piloting the aircraft whenever at least one flight characteristic of the aircraft exceeds a predetermined limit of the authorized flight envelope.

Abstract: The present disclosure provides methods and systems for radar detection. A radar device may obtain prior information about known targets including an azimuth angle of each known target. The radar device may generate an association aware transmit beam pattern toward at least a subset of the known targets based on the prior information. The radar device may detect targets from reflected beams of the association aware transmit beam pattern. Generating the association aware transmit beam pattern may include generating a partial ambiguity graph for the known targets, the graph including at least one edge connecting two known targets wherein a difficulty of disambiguating the two known targets is greater than a threshold. The graph also includes at least two known targets that are not connected by an edge.

Abstract: A recognition device includes a processor and a memory storing program instructions executable by the processor. The processor is configured to recognize a visual field range which extends from a viewpoint of a driver of a moving object in a line-of-sight direction and extends at a predetermined angle as moving away from the viewpoint with reference to a detection result of a line-of-sight detection device, recognize a target present in a surrounding environment of the moving object shown within image data on the basis of the image data in which surroundings of the moving object are imaged by a visual sensor disposed in the moving object and set an area of the recognized target in a predetermined shape, and set a plurality of determination points in the area of the target and determine whether or not the driver is recognizing the target on the basis of a degree of overlap between the plurality of determination points and the visual field range.

Abstract: Systems and methods are provided for constructing, using, and updating the sparse map for autonomous vehicle navigation. A method may comprise processing, by a mapping server, collected navigation information from a plurality of vehicles obtained by sensors coupled to the plurality of vehicles, wherein the navigation information describes road lanes of a road segment; collecting data about landmarks identified proximate to the road segment, the landmarking including a traffic sign; generating, by the mapping server, an autonomous vehicle map for the road segment, wherein the autonomous vehicle map includes a spline corresponding to a lane in the road segment and the landmarks identified proximate to the road segment; and distributing, by the mapping server, the autonomous vehicle map to an autonomous vehicle for use in autonomous navigation over the road segment.

Abstract: A vehicle includes an inertial sensor configured to measure a speed, a steering angle, and a yaw rate, a camera configured to acquire image data, a radar configured to acquire a radar data, and a safety device including an air bag and a seat belt pretensioner. A controller is configured to predict a collision with a first object located at the outside of the vehicle based on the image data or the radar data, predict a collision with a second object that is likely to occur after the collision with the first object based on an angle of reflection predicted at a time of the collision with the first object, and lower a deployment threshold that is compared with a collision severity such that the safety device is deployed before the collision with the second object.

Abstract: A computer includes a processor and a memory, the memory storing instructions executable by the processor to determine at least one of: a brake threat number of a host vehicle, a brake threat number of a target vehicle, a steering threat number, or an acceleration threat number and to actuate the host vehicle to change at least one of direction or speed based on at least one of the threat numbers. The brake threat number of the host vehicle is based on a predicted lateral distance between the host vehicle and the target vehicle. The brake threat number of the target vehicle is based on a velocity of the target vehicle adjusted by an acceleration of the target vehicle and an actuation time of a brake. The steering threat number is a lateral acceleration being a predicted lateral distance adjusted by an actuation time of a steering component. The acceleration threat number is based on a predicted lateral offset adjusted by a predicted heading angle of the host vehicle.

Abstract: The present invention relates to a method of cooperatively coordinating future driving maneuvers of a vehicle with fellow maneuvers of at least one fellow vehicle, wherein a fellow data packet is received from the fellow vehicle, in which a fellow trajectory set of a fellow reference trajectory is contained, a trajectory from a trajectory set for the vehicle is selected as a reference trajectory for the vehicle using the fellow reference trajectory, wherein a trajectory which is collision-free towards the fellow reference trajectory is selected, the trajectories of the trajectory set are rated using limit trajectories, and at least one cooperation trajectory is selected from the trajectories of the trajectory set using the reference effort value, wherein a data packet containing the reference trajectory and the cooperation trajectory is transmitted to the fellow vehicle.

Abstract: Disclosed are a method and a device for adaptively configuring a threshold for object detection by means of radar, the device including: a position-specific maximum signal value extraction unit extracting a maximum value of a signal for each position by obtaining the signal when there is no moving object; a position-specific signal magnitude sorting unit obtaining signals caused by a moving object, and sorting magnitudes of the obtained signals for each position in descending order for a time index; a candidate signal index selection unit selecting a candidate signal index; a signal index determination unit setting weighting factors for the respective signals up to the candidate signal index, and determining a sum of the weighting factors as a signal index; and a position-specific threshold configuring unit configuring the threshold for each position by using a signal of the determined signal index and a scaling factor.

Abstract: A method for controlling a steer-by-wire steering system in a motor vehicle, wherein, by means of an operator element to be actuated by an operator, a control command for actuating a steering actuator acting on at least one wheel to be steered is output, and wherein, by means of a force application element acting on the operator element and in operative connection with the steering actuator, an actuation force for the operator element is set. In the case of a disturbance of the force application element, the steering actuator is actuated so that the control command applied by the operator element is transmitted only in a damped manner to the steering actuator.

Abstract: A host vehicle includes a rear image capturing device and a vehicle control device. The rear image capturing device captures an image of an area behind the host vehicle. The vehicle control device detects a lateral position of a following vehicle in the same lane as that in which the host vehicle travels, the following vehicle being reflected in the image captured by the rear image capturing device and traveling in the lane. The vehicle control device determines a lateral position of the host vehicle within a lane depending on the lateral position of the following vehicle within the same lane.