Abstract: A ride system includes one or more sensors and a controller. The controller receives, from the one or more sensors, position data indicative of the position of a body and/or face of guest on the ride. Using the position data, the one or more controllers, determine a face direction, face rotation, or both of the guest, independent of sensor observations of the face direction and rotation. One or more features of the ride are controlled based upon the determined face direction and/or face rotation.

Abstract: In implementations of systems for estimating three-dimensional trajectories of physical objects, a computing device implements a three-dimensional trajectory system to receive radar data describing millimeter wavelength radio waves directed within a physical environment using beamforming and reflected from physical objects in the physical environment. The three-dimensional trajectory system generates a cloud of three-dimensional points based on the radar, each of the three-dimensional points corresponds to a reflected millimeter wavelength radio wave within a sliding temporal window. The three-dimensional points are grouped into at least one group based on Euclidean distances between the three-dimensional points within the cloud. The three-dimensional trajectory system generates an indication of a three-dimensional trajectory of a physical object corresponding to the at least one group using a Kalman filter to track a position and a velocity a centroid of the at least one group in three-dimensions.

Abstract: This drive assistance device comprises an ACC unit, an abnormality detection unit for detecting an abnormality from a detector used to perform ACC, and a vehicle stop control unit for performing control to stop an ego vehicle when an abnormality is detected by the abnormality detection unit and an inter-vehicle distance to a preceding vehicle satisfies a certain condition.

Abstract: The present invention pertains to driving assistance method and device by which an automobile can be parked at a location near a target parking location when carrying out ACC. During deceleration control via ACC, when a predicted parking location is closer than a target parking location by at least a prescribed threshold value, a parking location is adjusted by causing a state change from a first state, in which deceleration control is carried out, to a second state, in which acceleration control is carried out.

Abstract: A vehicle driving assistance apparatus includes a traveling environment recognizer and an adaptive cruise controller. The traveling environment recognizer recognizes traveling environment information regarding an outside of a vehicle. Based on the traveling environment information, the adaptive cruise controller performs a follow-up traveling control of causing the vehicle to travel to follow a preceding vehicle, if recognized, and performs a constant-speed traveling control of causing the vehicle to travel at constant speed. If the vehicle starts a lane change to a traveling lane during traveling based on the follow-up traveling control, the adaptive cruise controller keeps a target vehicle speed at a start of the lane change at least until the lane change ends, and thereafter accelerates the vehicle, by setting a set vehicle speed as a new target vehicle speed, and setting a target acceleration rate based on the new target vehicle speed.

Abstract: A vehicle includes a power unit configured to output drive power, a brake device, and a controller configured to execute predetermined travel control to control the power unit and the brake device such that the vehicle runs according to an inter-vehicle distance from a preceding vehicle or a difference between a set vehicle speed and an actual vehicle speed. The controller is configured to, when an absolute value of a controlled braking force calculated while the predetermined travel control is being executed is greater than an absolute value of an accelerator-off braking force when an accelerator is off while the predetermined travel control is not being executed, control the brake device with the accelerator-off braking force set for a target braking force on condition that a predetermined condition is satisfied.

Abstract: Systems and methods are provided for vehicle navigation. In one implementation, a system for a host vehicle includes at least one processor programmed to determine, based on an output of at least one sensor of the host vehicle, one or more target dynamics of a target vehicle; determine, based on one or more host dynamics of the host vehicle and the target dynamics, a time to collision; determine, based on the time to collision and the host dynamics, a host deceleration for the host vehicle to avoid the collision; determine, based on the time to collision and the target dynamics, a target deceleration for the target vehicle to avoid the collision; determine, based on the host deceleration and the target deceleration, a host deceleration threshold; and determine, based on a speed of the host vehicle and the host deceleration threshold, to brake the host vehicle.

Abstract: An automatic vehicle braking arrangement includes a vehicle control unit configured to determine whether one or more conditions that must occur to activate an automatic braking function of the vehicle are occurring, to automatically activate the automatic braking function after determining that the one or more conditions are occurring, and to automatically release the automatic braking function after determining that one or more conditions that must occur to release the automatic braking function are occurring. A method for operating such an arrangement is also provided.

Abstract: An on-vehicle device uploads information concerning a vehicle to an external device with a predetermined period, and includes a processor that uploads, to an external device, trimming information where a target area is trimmed from image information that is captured by the vehicle.

Abstract: A moving object determination device applied to a vehicle, the device includes at least a predicted time calculation unit, a time difference calculation unit, and a moving/stationary determination unit. The predicted time calculation unit calculates a predicted time from when an obstacle starts to be detected by the first sensor to when the obstacle will no longer be detected by the second sensor based on a traveling speed of the obstacle and a length of the obstacle. The time difference calculation unit calculates a real time from when the obstacle has been detected by the first sensor to when the obstacle has no longer been detected by the second sensor, and calculates a time difference between the real time and the predicted time. The moving/stationary determination unit determines that the obstacle is a stationary object in response to the time difference being equal to or greater than a predetermined value.

Abstract: Local sensing based navigation maps can form a basis for autonomous navigation of a mobile platform. An example method includes obtaining real-time environment information that indicates an environment within a proximity of the mobile platform based on first sensor(s) carried by the mobile platform, detecting navigation features based on sensor data obtained from the first sensor(s) or second sensor(s) carried by the mobile platform, integrating information corresponding to the navigation features with the environment information to generate a local navigation map, and generating navigation command(s) for controlling a motion of the mobile platform based on the local navigation map.

Abstract: A driving recognition-based regenerative braking control method of an xEV vehicle according to an embodiment of the present invention relates to a driving recognition-based regenerative braking control method of an xEV vehicle which optimally adjusts an amount of regenerative braking using preceding vehicle sensing and driving position information.

Abstract: A driving assist device includes a camera and a controller. The camera detects the presence of another vehicle ahead of a host vehicle. The controller sets a detection field of the camera. The controller determines that another vehicle has cut in front of the host vehicle if a degree to which the other vehicle has entered into the detection field exceeds or equals a first prescribed value when the host vehicle is traveling, or the other vehicle has cut in front of the host vehicle if the degree exceeds or equals a second prescribed value that is smaller than the first prescribed value when the host vehicle is stopped.

Abstract: A control device that controls a straddle type vehicle, the control device comprising: a route information acquisition unit configured to acquire information of a scheduled travel route of the straddle type vehicle; a weather information acquisition unit configured to acquire weather information corresponding to the scheduled travel route; a determination unit configured to determine whether the scheduled travel route of the straddle type vehicle is to be affected by weather based on the weather information; and a control unit configured to control a function related to a traveling state of the straddle type vehicle, based on a determination result of the determination unit.

Abstract: An autonomous driving system configured to perform an autonomous driving of a vehicle includes a trigger input request unit configured to perform a trigger input request for requesting a driver of the vehicle to perform a trigger input for causing the vehicle to pass through a target point if the autonomously driving vehicle approaches the target point set in advance and positioned on a traveling route of the vehicle, a trigger input detection unit configured to detect the driver's trigger input, and a vehicle control unit configured to cause the vehicle to pass through the target point if the trigger input is detected, and causes the vehicle to decelerate and stop without passing through the target point if the trigger input is not detected.

Abstract: An information processing device according to an embodiment includes a reception unit that accepts designation of a tracking target, a setting unit that sets a virtual tracking target different from the tracking target, and a drive control unit that controls driving of a mobile body on the basis of the virtual tracking target.

Abstract: A driving assistance device includes one or more processors configured to control operation of a host vehicle. The one or more processors are configured to perform first following control controlling acceleration and deceleration of the host vehicle so that the host vehicle follows a first preceding vehicle running in front of the host vehicle in the same lane as the host vehicle, and perform second following control prohibiting the first following control while a lane change is being performed and controlling acceleration and deceleration of the host vehicle so that the host vehicle follows a second preceding vehicle running in front of the host vehicle in a destination lane, if the lane change of the host vehicle is started during the first following control.

Abstract: A method includes obtaining information about a lead vehicle. The lead vehicle is traveling directly ahead of the host vehicle and the information includes velocity of the lead vehicle and a gap g between the host vehicle and the lead vehicle. Based on detecting a change in the velocity of the lead vehicle in the information, a corresponding desired acceleration is computed for the host vehicle using perceived acceleration of the lead vehicle to maintain the gap g within a specified range of gap values. The perceived acceleration of the lead vehicle is based on the change in the velocity indicated by the information. Based on a check of parameters involved in the computing the corresponding desired acceleration, a modified desired acceleration is computed for the host vehicle using a lag for the lead vehicle that results in an intended acceleration of the lead vehicle differing from the perceived acceleration.

Abstract: Methods, systems, and products for parallax estimation for sensors for autonomous vehicles may include generating a two-dimensional grid based on a field of view of a first sensor. For each respective point in the grid, a three-dimensional position of an intersection point between a first ray from the first sensor and a second ray from a second sensor may be determined. For each respective intersection point, a respective solid angle may be determined based on a first three-dimensional vector from the first sensor and a second three-dimensional vector from the second sensor to the intersection point. A matrix may be generated based on a distance from the first sensor, a distance from the second sensor, and the solid angle for each respective intersection point. At least one metric may be extracted from the matrix. An arrangement of the first and second sensors may be adjusted based on the metric(s).

Abstract: In a drive assist device, a first condition that an inter-vehicle distance between a preceding vehicle and an own vehicle is smaller than a first threshold, a second condition that a speed of the preceding vehicle relative to the own vehicle is lower than a second threshold, a third condition that a speed of an adjacent vehicle that travels on an adjacent lane to the own vehicle is lower than a third threshold, and a fourth condition that an acceleration rate of the adjacent vehicle is lower than a fourth threshold are defined. When at least one of the first condition and the second condition and at least one of the third condition and the fourth condition are satisfied, the drive assist ECU executes acceleration restraint control of a driving device and/or a braking device such that an acceleration rate of the own vehicle is “0” or lower.

Abstract: An in-vehicle sensor (10) measures a distance by observing reflected waves of a plurality of signals having radiation angles that are different from each other at least in a perpendicular direction. In a sensor control apparatus (11), a ground detection unit (20) detects the ground based on a measurement result of the in-vehicle sensor (10). A sensor control unit (40), according to a relationship between radiation angles of a plurality of signals from the in-vehicle sensor (10), and the measurement result of the in-vehicle sensor (10), adjusts, of these plurality of signals, radiation angles of at least some signals next time when the at least some signals are radiated from the in-vehicle sensor (10).

Abstract: A processor of a driving control device compares a vehicle speed of a subject vehicle traveling in a first lane with a vehicle speed of an adjacent other vehicle traveling in a second lane to determine whether a relative speed of the adjacent other vehicle to the subject vehicle is equal to or less than a predetermined speed difference threshold, and relaxes a travel condition for permitting the subject vehicle to travel at a predetermined driving assistance level when the relative speed is equal to or less than the speed difference threshold.

Abstract: Provided is a apparatus for assisting driving of a host vehicle, the apparatus comprising: at least one sensor of an image sensor or a radar sensor mounted to the host vehicle and having a field of view outside of the host vehicle; and a controller communicatively connected to the at least one sensor, wherein the controller is configured to: identify at least one surrounding vehicle around the host vehicle based on processing an output of the at least one sensor, calculate a target inter-vehicle distance based on the own vehicle speed and a driver set distance received from a driver, and vary the calculated target inter-vehicle distance based on driving information of the at least one surrounding vehicle.

Abstract: An information presentation device includes a processor configured to (i) acquire vehicle information relating to a plurality of peripheral vehicles around an own vehicle, (ii) calculate an effect index representing an effect due to follow-up travel of traveling behind each of the plurality of peripheral vehicles based on the vehicle information for each of the plurality of peripheral vehicles, and (iii) cause an output device of the own vehicle to output position information and the effect index relating to at least a portion of the plurality of peripheral vehicles.

Abstract: A vehicle control device includes an inter-vehicle distance determination unit that determines an inter-vehicle distance, and a following control unit that performs a following control with respect to a preceding vehicle on the basis of the inter-vehicle distance determined by the inter-vehicle distance determination unit. The following control includes a first control state, and a second control state in which a burden on the driver is lighter than in the first control state, or in which a degree of automation is higher than in the first control state. A minimum value of the inter-vehicle distance that can be determined by the inter-vehicle distance determination unit in the second control state is greater than a minimum value of the inter-vehicle distance that can be determined by the inter-vehicle distance determination unit in the first control state.

Abstract: Systems and methods are provided for navigating based on behaviors of following vehicles. In one implementation, a navigation system for a host vehicle may include at least one processing device. The at least one processing device may be programmed to receive, from a camera, a plurality of images representative of an environment of the host vehicle; analyze the plurality of images to identify a first target vehicle and a second target vehicle in the environment of the host vehicle; analyze the plurality of images to determine a distance between the first target vehicle and the second target vehicle; and determine, from the plurality of images, a time to reach a boundary associated with one of the first target vehicle and the second target vehicle, wherein the determined time exceeds a first threshold and does not exceed a second threshold.

Abstract: The disclosure includes embodiments for identifying a transmitter of a Vehicle-to-Everything (V2X) message. In some embodiments, a method for an ego vehicle includes modifying an operation of a communication unit of the ego vehicle to receive a V2X message that includes identification data of a transmitter of the V2X message. The method includes executing a proactive vehicle control operation on the ego vehicle to modify a distance between the ego vehicle and a preceding vehicle ahead of the ego vehicle so that the distance satisfies a distance threshold. The method includes determining whether the preceding vehicle is the transmitter based on the identification data so that a reliable determination is achieved to improve a driving safety of the ego vehicle responsive to the distance satisfying the distance threshold.

Abstract: A small electric vehicle includes: left and right motors connected so as to respectively transmit power to left and right driving wheels; left and right rotation speed sensors; an inclination sensor; a joystick-type operation element; and a control unit, wherein it is configured to calculate target rotation speeds of the left and right motors, based on a target vehicle speed provided by an inclination angle in consideration of the pitch angle and the roll angle detected through the inclination sensor and by an operation position of the operation element, and on a target vehicle angular velocity provided by the inclination angle, by the operation position of the operation element and by the actual speed of the vehicle, and control the left and right motors such that actual rotation speeds of the left and right motors follow the respective target rotation speeds.

Abstract: An object detection device that detects a corner of an object includes: a transmitter that transmits a search wave; receivers that receive a reflected wave reflected off the corner. The device determines a first path length of the search wave from the transmitter to a first receiver, and uses the positions of the transmitter and the first receiver as focal points to find a first ellipse whose distances from the transmitter and the first receiver add up to the first path length. The device determines a second path length of the search wave from the transmitter to a second receiver, and uses the positions of the transmitter and the second receiver as focal points to find a second ellipse whose distances from the transmitter and the second receiver add up to the second path length. The device finds an intersection point between the first and second ellipses as the corner.

Abstract: A computer includes a processor and a memory, and the memory stores instructions executable by the processor to determine that a vehicle is carrying a load; in response to an activation of an adaptive cruise control while the vehicle is carrying the load, operate the adaptive cruise control according to a set of parameters, the parameters being based on the load; while the adaptive cruise control is inactive and the vehicle is carrying the load, determine an expected operation of the adaptive cruise control, the expected operation being how the adaptive cruise control would operate according to the set of the parameters if active; and adjust at least one of the parameters based on a comparison of the expected operation with an actual operation performed by an operator of the vehicle.

Abstract: To provide an other vehicle behavior prediction apparatus, an other vehicle behavior prediction method, and an automatic driving system which can determine the presence absence of the lane change of the other vehicle with good accuracy, regardless of the change of road shape. An other vehicle behavior prediction apparatus, including: a periphery detector that detects other vehicle which exists around an own vehicle; a road shape detector that detects a road shape where the other vehicle is located; and a lane change predictor that predicts presence or absence of a lane change of the other vehicle based on a detection result of the other vehicle, and changes a determination value which is used when predicting the presence or absence of the lane change of the other vehicle, based on the road shape where the other vehicle is located.

Abstract: The disclosure provides a data communication method and apparatus, an electronic device, and a storage medium. The method includes: receiving controller area network (CAN) bus data transmitted by a first device; executing a first flow-control based transmission between the first connector and the first device to obtain respective consecutive frame data in multi-packet data from the first device, upon detecting that the CAN bus data is first frame data in the multi-packet data; and transmitting the first frame data and the respective consecutive frame data to a second connector to indicate that the second connector transmits the multi-packet data to a second device through a second flow-control based transmission, when or after executing the first flow-control based transmission between the first connector and the first device.

Abstract: A display device, a display control method, and a non-transitory computer-readable recording medium are disclosed. The display device of an embodiment is mounted on a vehicle and includes: a display part; and a display controller displaying a first image showing a speed range controllable by a driving controller that controls a speed of the vehicle to a constant speed, a second image showing a target vehicle speed of the vehicle, and a third image showing the speed of the vehicle on the display part. The display controller displays the second image in association with an upper limit or a lower limit of the first image on the display part when the speed of the vehicle deviates from the speed range.

Abstract: A method for assisting a driver in activating an automatic driving mode of a vehicle involves determining the conditions required for an autonomous driving mode and determining a condition not fulfilled in the current driving state which blocks an activation of the autonomous driving mode. An object in the vehicle environment that is in context with an unfulfilled condition is also determined. The object in context with the unfulfilled condition is identified in a representation of the vehicle environment or by projection onto a windscreen, such that a driving maneuver required for enabling an autonomous driving operation is conveyed.

Abstract: A control unit for a vehicle is configured to determine, during an approaching manoeuvre of a distance controller and/or cruise controller of the vehicle towards a vehicle in front, whether or not the vehicle will overtake or can overtake the vehicle in front during the approaching manoeuvre. Furthermore, during the approaching manoeuvre, the control unit is configured to adjust a behaviour of the cruise controller and/or adaptive cruise controller of the vehicle on the basis of the above determination.

Abstract: The vehicle control device, independently of acceleration and deceleration operation by a vehicle driver, adjusts a vehicle speed to a predetermined target vehicle speed or adjusts an inter-vehicle interval between the vehicle and a preceding vehicle which travels ahead of the vehicle, to a predetermined target inter-vehicle interval. The vehicle control device obtains information concerning the inter-vehicle interval between the vehicle and the preceding vehicle and information concerning acceleration and deceleration operations by the driver, to update settings of the target vehicle speed and the target inter-vehicle interval according to the obtained information concerning the inter-vehicle interval and the acceleration and deceleration operation.

Abstract: A vehicle controller includes a processor configured to: input characteristics extracted from an object region representing a target vehicle in an image obtained by a camera of a vehicle into a light-state classifier to identify a light state that is the state of a signal light of the target vehicle; determine a first control value, based on the result of identification of the light state and the positional relationship between the vehicle and the target vehicle, in accordance with a predetermined rule; input the result of identification of the light state into a control command classifier, which has been trained to output a second control value for controlling the vehicle to avoid a collision between the vehicle and the target vehicle, thereby determining the second control value; and determine an integrated control value to be used for controlling the vehicle, based on the first and second control values.

Abstract: A processor unit (3) is configured for accessing speed data of a second vehicle (18), the speed data generated by a sensor of a first vehicle (1). The processor unit is also configured for creating a driving behavior profile of the second vehicle (18) based on the speed data and making a prediction about the future driving behavior of the second vehicle (18) based on the driving behavior profile of the second vehicle (18). Moreover, the processor unit is configured for determining a trajectory for the first vehicle (1) by executing an MPC algorithm, which includes a longitudinal dynamic model of the first vehicle and a cost function, such that the cost function is minimized. The prediction about the future driving behavior of the second vehicle (18) is taken into account in the determination of the trajectory.

Abstract: An object of the present invention is to prevent a cost increase and an increase in an installation space due to a redundant arrangement of a vehicle motion control apparatus. A vehicle control apparatus includes an input portion configured to receive an input of a target state from a vehicle motion control controller equipped with a first vehicle motion control function configured to determine the target state for achieving a target route input from an autonomous driving controller, a first control portion configured to control a motion state based on the target state input from the input portion, and a second control portion equipped with a second vehicle motion control function configured to determine the target state for achieving the target route input from the autonomous driving controller and configured to control the motion state based on the target state input from the input portion.

Abstract: A method of radar ranging comprises transmitting a digitally-modulated signal comprising successively in time, for each sequence in a plurality N of sequences, a plurality M+1 of repeats of said sequence, wherein each said sequence consists of a plurality Lc of digitally-modulated chips, wherein at least one sequence in the plurality of sequences is different from another sequence in said plurality of sequences; receiving a version of the digitally-modulated signal reflected scattered by one or more physical targets; for each sequence in the plurality of sequences, performing a preliminary target estimation; and using each said preliminary target estimation for all sequences in the plurality of sequences, performing a final target estimation.

Abstract: A vehicular control system includes a camera disposed at an in-cabin side of a windshield of a vehicle, the camera viewing forward of the vehicle through the windshield, and the camera capturing image data representative of at least an upcoming road surface of a road ahead of the vehicle. The vehicular control system, via processing at an image processor of image data captured by the camera, determines traction condition of at least a portion of the imaged upcoming road surface that is ahead of the vehicle. The vehicular control system, via processing at the image processor of captured image data, determines a change in traction condition ahead of the vehicle and adjusts an adaptive cruise control system of the vehicle responsive at least in part to the determined change in traction condition ahead of the vehicle.

Abstract: An autonomous driving system acquires information concerning a vehicle density in an adjacent lane that is adjacent to a lane on which an own vehicle is traveling, when the own vehicle travels on a road having a plurality of lanes. The autonomous driving system selects the adjacent lane as an own vehicle travel lane, when the vehicle density in the adjacent lane that is calculated from the acquired information is lower than a threshold density that is determined in accordance with relations between the own vehicle and surrounding vehicles. The autonomous driving system performs lane change to the adjacent lane autonomously, or propose lane change to the adjacent lane to a driver, when the adjacent lane is selected as the own vehicle travel lane.

Abstract: Systems, apparatuses, and methods to response to distinguish a ghost target from an actual target based on radar signals and ranges determined from the radar signals. In particular, the disclosure provides an intrusion detection system receiving ranges and velocities for targets detected based on radar signals, determining a potential ghost target from the received velocities and confirming the potential ghost target based on estimated ranges and perturbations of the vehicle speed.

Abstract: A vehicle control device for controlling platooning of platoon participating vehicles by connecting the platoon participating vehicles to one another via radio communication, the platoon participating vehicles include a lead vehicle and follow-up vehicles that perform automatic follow-up running in line at a predetermined intervehicle distance from the lead vehicle, the device comprises a control portion that, during execution of the platooning, sets a permissible output range of a drive amount with a current gear ratio of an automatic transmission remaining kept, as a change characteristic of the drive amount in each of the platoon participating vehicles so that change of the drive amount in response to change of a drive demand amount lies within a predetermined range, the automatic transmission being included in each of the platoon participating vehicles to transmit power of a power source to driving wheels.

Abstract: Described herein are various technologies that pertain to controlling an AV based upon forward-looking observations of road surface behavior. With more specificity, technologies described herein pertain to controlling maneuvering of an AV in a region of a driving environment based upon an observed acceleration of an object in that region of the driving environment. A plurality of positions of an object in the driving environment are determined from output of sensors mounted on the AV. An acceleration of the object is computed based upon the positions. The AV is subsequently controlled based upon the computed acceleration.

Abstract: A method for controlling a convoy including a pilot vehicle and a driverless vehicle is presented. It includes electronically tethering the driverless vehicle to the pilot vehicle by establishing communication between a pilot vehicle control module and a driverless vehicle control module. It further includes receiving a longitudinal control user input in the pilot vehicle control module and communicating a longitudinal motion request from the pilot vehicle control module to the driverless vehicle control module, the longitudinal motion request being indicative of the longitudinal control user input. It finally includes controlling a propulsion and braking system of the driverless vehicle in response to the longitudinal motion request received from the pilot vehicle and controlling a propulsion and braking system of the pilot vehicle, while tethered to the driverless vehicle, to maintain a target longitudinal clearance from the driverless vehicle.

Abstract: An apparatus for measuring a surface comprises first sensors, which are distributed two-dimensionally in space, said first sensors interacting with the surface in a contactless manner using a microwave range of electromagnetic signals, and the first sensors receive at least two of the microwave signals of the interaction with information relating to distances between the sensors and the surface as a reflection, the microwave signals of the interaction representing both dimensions of the space of two-dimensional distribution of the first sensors. A data processing unit receives said information on the distances, and determines at least one geometrical parameter of the surface on the basis of the information.

Abstract: A control mode of speed control includes a first control mode in which an actual speed is caused to follow a target speed through active use of a brake and a second control mode in which the actual speed is caused to follow the target speed while use of the brake is suppressed. An autonomous driving system changes a threshold value to a value larger than a value in the first control mode when the control mode is switched from the first control mode to the second control mode, and changes the threshold value to a value smaller than a value in the second control mode when the control mode is switched from the second control mode to the first control mode.

Abstract: A computer-implemented method is provided that involves determining, based on map data, an approaching merge region comprising an on-ramp merging with a road comprising one or more lanes, wherein a truck is traveling on an initial lane of the road according to a navigation plan. The method involves an indication of movement of a vehicle on the on-ramp, wherein the indication of movement is based on data collected by one or more sensors configured to capture sensor data from an environment surrounding the truck. The method involves determining, for the on-ramp and the one or more lanes, respective avoidance scores indicative of a likelihood of an interaction between the truck and the vehicle based on the approaching merge region. The method involves updating the navigation plan based on the respective avoidance scores. The method also involves controlling the truck to execute a driving strategy based on the updated navigation plan.

Abstract: A method for automated driving of a vehicle, comprising: provide function modules, wherein the function modules each comprise at least one subfunction for automated driving, and wherein the function modules are each assigned at least one module validity attribute that defines the context of the surroundings in which the particular function module is valid, provide at least one system configuration, wherein the at least one system configuration comprises at least one of the function modules, and wherein the at least one system configuration is assigned at least one configuration validity attribute that defines the context of the surroundings in which the at least one system configuration is valid, select one of the at least one system configurations, wherein the selection depends on a context of the surroundings and the at least one associated configuration validity attribute, control the vehicle, wherein controlling is based on the selected system configuration.