Abstract: The invention relates to a method for determining a parameter indicative of a road capability of a road segment supporting a vehicle. The vehicle comprises a plurality of ground engaging members.

Abstract: The present disclosure relates to a method of controlling operation of an articulated vehicle combination (AVC), the AVC comprising a tractor unit comprising a primary prime mover for propulsion of the AVC, a first trailer unit coupled to the tractor unit by a first articulated coupling, a dolly comprising a secondary prime mover, the dolly being coupled to the first trailer unit by a second articulated coupling, and a second trailer unit coupled to the dolly by a third articulated coupling, the method comprising determining at least one property indicative of a stability of the AVC; comparing the property with a predetermined property specific range; and controlling the secondary prime mover to generate a propulsion torque for the AVC when the property is within the predetermined property specific range.

Abstract: A system for estimating an articulation angle of a vehicle combination comprises a motion sensor for sensing one or more linear and/or angular motion quantities of the vehicle combination and a dynamics-based estimator configured to estimate state variables, including the articulation angle on the basis of the sensed motion quantities, wherein the dynamics-based estimator is dependent on one or more masses and moments of inertia of the vehicle combination.

Abstract: Systems and methods are provided for generating data indicative of a friction associated with a driving surface, and for using the friction data in association with one or more vehicles. In one example, a computing system can detect a stop associated with a vehicle and initiate a steering action of the vehicle during the stop. The steering action is associated with movement of at least one tire of the vehicle relative to a driving surface. The computing system can obtain operational data associated with the steering action during the stop of the vehicle. The computing system can determine a friction associated with the driving surface based at least in part on the operational data associated with the steering action. The computing system can generate data indicative of the friction associated with the driving surface.

Abstract: The present disclosure relates to a method for controlling a driving operation of an autonomously controlled vehicle, the vehicle comprising an angular velocity sensor for controlling the vehicle's lateral positioning along an operated road path during a loss of location situation, the method comprising: obtaining a signal indicative of a characteristics of a road path for operation of the vehicle determining an uncertainty parameter value of the angular velocity sensor for an upcoming position of the road path ahead of the vehicle; and controlling the vehicle to a stand-still operation at a stop position, prior to arrival at the upcoming position, along the road path for calibration of the angular velocity sensor when the uncertainty parameter value indicates an unacceptable uncertainty in lateral deviation of the vehicle at the upcoming position.

Abstract: The present disclosure relates to method for controlling a driving operation of an autonomously controlled vehicle. In particular, a navigation system is controlled to autonomously operate the vehicle in a direction from a position of loss of location to a first upcoming stop position; and to controlling the vehicle to a stand-still operation when the vehicle arrives at the stop position for calibration of a sensor arranged to measure an angular velocity of the vehicle.

Abstract: A method of controlling a vehicle combination, the vehicle combination comprising a first vehicle unit, a second vehicle unit and an articulated coupling connecting the first and second vehicle units to each other, the method comprising determining a coupling force parameter of the articulated coupling based on a combination of motion related parameters obtained from the first and second vehicle units; selecting an operational envelope for the vehicle combination based on the coupling force parameter; and controlling the vehicle combination to operate within the operational envelope.

Abstract: The present invention relates to a control unit for determining a value indicative of a load bearing capability of a ground segment supporting a vehicle. The control unit is configured to issue a control signal to the vehicle to thereby impart a motion change of the vehicle, and receive response information from the vehicle indicative of the vehicle's response to the imparted motion change. The control unit is further configured to, based on the response information, determine a vertical position change of at least one wheel of the vehicle, and based on the determined vertical position change and the imparted motion change, determine the value indicative of the load bearing capability of the ground segment.

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 system and method for utilizing aggregated weather data (AWD) for deriving road surface condition (RSC) estimates. This system and method supplements road friction estimates (RFEs) made at the vehicle level with AWD in the cloud to form the RSC estimates, which are then transmitted to the vehicles such that more accurate RFEs can be made locally, and so on. Conventional RFE physics-based models are replaced with enhanced RFE trained machine learning (ML) models accordingly. Global RSC estimates are derived for each geographical region using weather and location constraints. Thus, improved autonomous driving and driver assist functions may be implemented, better driver warnings may be provided, and safer road trips may be planned in advance based on a thorough analysis of the drivable conditions.

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 determining a tyre normal force range (Fz,min, Fz,max) of a tyre force (Fz) acting on a vehicle (100), the method comprising; obtaining (S1) suspension data (310) associated with a suspension system of the vehicle (100); obtaining (S2) inertial measurement unit, IMU, data (320) associated with the vehicle (100); estimating (S3), by a suspension-based estimator (330) a first tyre normal force range (Fz1,min, Fz1,max) based on the suspension data (310); estimating (S4), by an inertial force-based estimator (340), a second tyre normal force range (Fz2,min, Fz2,max)based on the IMU data (320); and determining (S5) the tyre normal force range (Fz,min, Fz,max) based on the first tyre normal force range (Fz1,min, Fz2max) and on the second tyre normal force range (Fz2,min, Fz2,max).

Abstract: A method for providing instructions for controlling vehicle, the method comprising: predicting a near-future driving path for the vehicle using sensor data received from environmental sensors of the vehicle. Retrieving at least one acceptable spatial deviation value indicative of the acceptable deviation from the predicted driving path. Determining a limit velocity value or a longitudinal deceleration value based on predetermined relations between spatial deviations from the near-future driving path and vehicle motion parameters and corresponding error values. The limit velocity value and the longitudinal deceleration value are determined with the constraint that the acceptable spatial deviation is not violated along the predicted driving path. Providing an instruction signal comprising an instruction for the vehicle to travel below the limit velocity value, or comprising an instruction to decelerate according to the longitudinal deceleration value in the event of a safe stop procedure.

Abstract: Systems and methods are provided for generating data indicative of a friction associated with a driving surface, and for using the friction data in association with one or more vehicles. In one example, a computing system can detect a stop associated with a vehicle and initiate a steering action of the vehicle during the stop. The steering action is associated with movement of at least one tire of the vehicle relative to a driving surface. The computing system can obtain operational data associated with the steering action during the stop of the vehicle. The computing system can determine a friction associated with the driving surface based at least in part on the operational data associated with the steering action. The computing system can generate data indicative of the friction associated with the driving surface.

Abstract: A dolly vehicle includes at least one motion support device, MSD, and a control unit arranged for vehicle motion management, VMM, wherein the control unit is configurable in a master mode where the at least one MSD is controlled based on a set of capabilities of a vehicle combination comprising the dolly vehicle to fulfil an assigned task. The control unit is configurable in a slave mode where the at least one MSD is controlled based on requests received from an external master control unit.

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: A road friction coefficient of a vehicle is estimated by obtaining substantially contemporaneous values associated with a steering angle for a steered axle of the vehicle, a lateral acceleration, a yaw acceleration, an alignment torque and an axle load on the steered axle; estimating a lateral tire force on the basis of the steering angle, lateral acceleration, and yaw acceleration; deriving a pneumatic trail from the alignment torque and estimated lateral tyre force; and estimating a road friction coefficient from the lateral tire force, the axle load, and the pneumatic trail. In embodiments, the derivation of the road friction coefficient includes evaluating a nonlinear function of the pneumatic trail.