Abstract: A computer-implemented method for providing control data for at least one driver support system of a vehicle, or for at least one driving assistance system of the vehicle for supporting driving of the vehicle on a desired path through a curvature planning and steering, can comprise: obtaining suspension data of the vehicle, obtaining vehicle data of the vehicle, obtaining vehicle driving sensor data of the vehicle, determining a steering angle data based on the suspension data, the vehicle data, and the vehicle driving sensor data, and determining the control data for the at least one driver support system or the at least one driving assistance system based on the steering angle data and a curvature vehicle model.

Abstract: The disclosure relates to a method for controlling a motion of a vehicle. The vehicle can comprise an electric powertrain having at least one drive axle with a left output shaft and a right output shaft, a power assisted steering unit, and a propulsion torque distribution unit. The propulsion torque distribution unit can be configured to allocate wheel torques of different magnitudes to the left output shaft and the right output shaft respectively. The method can comprise receiving a total longitudinal force target value, a total lateral force target value and a total yaw moment target value. The method can further comprise determining a first wheel torque for the left output shaft and a second wheel torque for the right output shaft which minimize a total power consumption of the drive axle and the power assisted steering unit.

Abstract: A method performed by a vehicle system for enabling estimation of a condition of a road comprising obtaining, from a sensor mounted on a vehicle, first data comprising a first plurality of data points, each comprising longitudinal, lateral and vertical coordinates representing dimensions of a part of the road at a first time, obtaining a second plurality of data points, each comprising longitudinal, lateral and vertical coordinates representing dimensions of the part of the road at a second time, wherein the first time is more recent than the second time, segmenting the first plurality of data points into a plurality of segmented data areas based on longitudinal and lateral coordinates of the first plurality of data points, and estimating a respective vertical position in each segmented data area based on vertical coordinates of the second plurality of data points and a motion state of the vehicle at the second time.

Abstract: The disclosure relates to a method for maneuvering an at least partially autonomous vehicle from a first road positioned at a junction into a second road meeting the first road at the junction, the method comprising: observing a first area of the second road for detection of road users by a detection system of the vehicle; altering a detection area of the detection system to include a second area of the second road, the second area comprising a further area of the second road that is not comprised in the first area; observing the second area of the second road for detection of the road users by the detection system; and maneuvering the vehicle into the second road based on the observing of the second area of the second road.

Abstract: According to an embodiment, it is a system comprising a detection module; an estimation module; and a processor; wherein the processor is operable to receive a starting location, a destination, and a stopover location; detect, via the detection module, a change in configuration of a vehicle at one or more of the starting location and a stopover location; estimate, via the estimation module, a new range of the vehicle based on the change in the configuration of the vehicle; and recommend, via a recommendation module, an adjustment to extend the new range.

Abstract: According to an embodiment, it is a system comprising a detection module, an estimation module, and a processor, and wherein the processor is operable to detect, via the detection module, a change in configuration of a vehicle; and estimate, via the estimation module, a new range of the vehicle based on the change in the configuration of the vehicle, wherein the change in configuration comprises adding an item to the vehicle.

Abstract: According to an embodiment, it is a system comprising a detection module; an estimation module; and a processor; wherein the processor is operable to receive a starting location, a destination, and a stopover location; detect, via the detection module, a planned change in configuration of a vehicle at one or more of the starting location and the stopover location; and estimate, via the estimation module, a new range of the vehicle based on the planned change in configuration of the vehicle; and wherein the system is operable for adaptive smart range estimation.

Abstract: Various systems and methods are presented regarding estimating surface conditions on a road for a vehicle. Techniques are described for using reflectance values and distance to determine road surface conditions. In an example embodiment, a system, comprises a memory that stores computer executable components; and a processor that executes the computer executable components stored in the memory, wherein the computer executable components can comprise: a sensor component, comprising a LiDAR sensor, that can obtain a reflectance value and a distance associated with a portion of a road; a mapping component that can generate a heat map of the reflectance value and the distance; an indexing component that can determine a number of returns received from the sensor component indicating a surface condition of the road; and a road condition component that can determine the surface condition of the road from the heat map and the number of returns received.

Abstract: The disclosure relates to associating environment perception data of a first vehicle with data indicative of a friction condition. The environment perception data, position data, and data indicative of a friction condition can be received from a second sensor associated with the first vehicle. A first position can be transformed in a coordinate system centered on the first sensor using coordinate transformation based on the position data. Moreover, the first position can be mapped onto at least one corresponding element of the environment perception data, and the at least one element can be associated with the data indicative of a friction condition.

Abstract: A computer-implemented method for providing control data for at least one driver support system of a vehicle, or for at least one driving assistance system of the vehicle for supporting driving of the vehicle on a desired path through a curvature planning and steering, can comprise: obtaining suspension data of the vehicle, obtaining vehicle data of the vehicle, obtaining vehicle driving sensor data of the vehicle, determining a steering angle data based on the suspension data, the vehicle data, and the vehicle driving sensor data, and determining the control data for the at least one driver support system or the at least one driving assistance system based on the steering angle data and a curvature vehicle model.

Abstract: The disclosure relates to a method for controlling a motion of a vehicle. The vehicle can comprise an electric powertrain having at least one drive axle with a left output shaft and a right output shaft, a power assisted steering unit, and a propulsion torque distribution unit. The propulsion torque distribution unit can be configured to allocate wheel torques of different magnitudes to the left output shaft and the right output shaft respectively. The method can comprise receiving a total longitudinal force target value, a total lateral force target value and a total yaw moment target value. The method can further comprise determining a first wheel torque for the left output shaft and a second wheel torque for the right output shaft which minimize a total power consumption of the drive axle and the power assisted steering unit.

Abstract: The disclosure relates to a method to control torque distribution among a plurality of electric machines connected to at least one front wheel and at least one rear wheel of a vehicle during operation, comprising: acquiring the total torque requested; obtaining the most energy efficient torque distribution mode by using a loss model or loss map; evaluating the actual driving situation; determining if a mode switch is allowed depending on the actual driving situation; switching the torque distribution mode, if allowed; and preventing a mode switch, if not allowed.

Abstract: The present disclosure relates to a steering control system for a vehicle, a vehicle comprising such a steering control system and a method for operating such a steering control system for a vehicle. The steering control system comprises a frequency filter unit, a first control unit, and a second control unit. The frequency filter unit comprises a high pass filter and a low pass filter. The frequency filter unit is configured to receive a request for a steering angle and filter the request into a low-pass filtered request and a high-pass filtered request. The first control unit is configured to determine a first controlling torque based on the low-pass filtered request the second control unit is configured to determine a second controlling torque based on the high-pass filtered request. The first control unit is different of the second control unit.

Abstract: The disclosure relates to a method for generating a reference trajectory within a lane for a vehicle. The method comprises receiving at least one vehicle current state parameter describing a current state of the vehicle (S11). The current state of the vehicle comprises at least a current position of the vehicle. Furthermore, a destination parameter describing a destination to be reached by the vehicle (S12), and at least one route parameter describing a route for reaching the destination (S13) are received. Moreover, the method comprises estimating a power loss being caused when traveling from the current position of the vehicle to the destination (S14). The reference trajectory within the lane is determined such that it minimizes the power loss and leads to the destination (S15). Additionally, a method for operating a vehicle is presented.

Abstract: A method for performing brake disc cleaning of an at least partially electrically driven vehicle including a brake system with at least one friction brake, the surface of which can be brought into contact with a corresponding brake disc, the method includes: determining an upcoming brake event by using at least vehicle-ahead information, predicting a needed deceleration level of an ego-vehicle by using the vehicle-ahead information, and carrying out a brake disc cleaning of the friction brake only in case the needed deceleration level of the ego-vehicle in the upcoming brake event is predicted as being above a predefined value.

Abstract: In general, techniques are described by which a computing system detects low-impact collisions. A computing system includes at least one processor and memory. The memory includes instructions that, when executed, cause the at least one processor to determine whether an object collided with a vehicle based on a comparison of data received from at least one motion sensor configured to measure at least an acceleration of the vehicle and data received from a plurality of level sensors, wherein each level sensor is configured to measure a relative position between a body of the vehicle and a respective wheel of a plurality of wheels of the vehicle. Execution of the instructions further causes the at least one processor to perform one or more actions in response to determining that the object collided with the vehicle.

Abstract: Techniques are described for dynamically selecting vehicles to perform road friction probing maneuvers and estimating road friction based on sensor data collected while a vehicle performs the road friction probing maneuvers. In one example, a computing system is configured to select, from a plurality of vehicles, based on an amount of elapsed time since each respective vehicle of the plurality of vehicles has performed a road friction probing maneuver, a vehicle to perform the road friction probing maneuver within a road segment of a roadway, and responsive to selecting the vehicle, output, to the vehicle, a command causing the vehicle to perform the road friction probing maneuver within the road segment.

Abstract: The present disclosure relates to a steering control system for a vehicle, a vehicle comprising such a steering control system and a method for operating such a steering control system for a vehicle. The steering control system comprises a frequency filter unit, a first control unit, and a second control unit. The frequency filter unit comprises a high pass filter and a low pass filter. The frequency filter unit is configured to receive a request for a steering angle and filter the request into a low-pass filtered request and a high-pass filtered request. The first control unit is configured to determine a first controlling torque based on the low-pass filtered request the second control unit is configured to determine a second controlling torque based on the high-pass filtered request. The first control unit is different of the second control unit.

Abstract: The present invention relates to a method for collision avoidance for a host vehicle, the method comprising: detecting a target in the vicinity of the vehicle; determining that the host vehicle is travelling on a collision course with the target; detecting a user initiated steering action for steering the vehicle towards one side of the target; determining a degree of understeering of the host vehicle; when the degree of understeering exceeds a first understeering threshold, controlling a steering control system of the vehicle to counteract the user initiated steering action to thereby reduce the degree of understeering. The invention further relates to an evasive steering system.

Abstract: Techniques are described for estimating surface friction coefficients using lateral force excitations of one or more rear wheels of a rear wheel steering vehicle. In one example, a computing system is configured to cause excitation of a rear wheel using a lateral force that causes the rear wheel to initiate turning. The computing system may determine one or more slip angles that result from the excitation and determine a relationship between the lateral force and the slip angles. From the lateral force and slip angle relationship, the computing system may estimate the friction coefficient of a surface and may cause maneuvering of the rear wheel steering vehicle, or of another networked vehicle, to be based at least in part on the friction coefficient estimated for a particular driving surface.