Abstract: According to an embodiment, disclosed is a system comprising one or more sensors, and a processor, wherein the processor storing instructions in a non-transitory memory that, when executed, cause the processor to, determine one or more of a probability of a road slippery condition at a geographic location and a confidence level on the probability using the sensors and in-vehicle road grip estimation module of a vehicle, receive a first weighting factor based on a first data from a road condition estimation module for the geographic location, receive a second weighting factor based on a second data from a climate module for the geographic location, determine an aggregate factor based on the first weighting factor, and the second weighting factor, and modify one or more of the probability of the road slippery condition and the confidence level on the probability based on the aggregate factor for the geographic location.

Abstract: Systems/techniques that facilitate artificially intelligent assistance of hazardous overtaking initiatives are provided. In various embodiments, a system can receive one or more electronic notifications broadcasted by a vehicle. In various aspects, the system can detect, via one or more sensors onboard the first vehicle, overtaking intention by a second vehicle of the first vehicle. In various instances, the system can determine, in response to detection of the overtaking intention by the second vehicle, adjustments of a current trajectory of the first vehicle to facilitate completion of overtaking by the second vehicle or deter overtaking by the second vehicle.

Abstract: A system for remote control of an occupied vehicle includes one or more external vehicle environmental sensors. The system further includes a suspect event identification module including instructions stored in at least one memory and executable by one or more processors to cause the passenger identification module to determine the occurrence of a suspect event at the occupied vehicle based, at least in part, on data indicative of an audio environment of a surrounding of the occupied vehicle. The system also includes a communication module including instructions stored in at least one memory and executable by one or more processors to cause the communication module to communicate an initial signal to a remote device of an operator of the occupied vehicle outside of the occupied vehicle in response to the determination of the suspect event.

Abstract: A system for assisting a distracted vehicle occupant. The system includes a first occupant sensor configured to capture data indicative of an emotional state of an occupant of a vehicle. The system also includes a distraction determination module configured to recognize that the occupant is in a high emotional state based on the captured data indicative of the emotional state of the occupant. The distraction determination module is also configured to determine one or more corrective actions configured to calm the occupant from the high emotional state to a normal emotional state in response to the recognized high emotional state of the occupant. The distraction determination module is further configured to implement or cause to be implemented the corrective action(s).

Abstract: A method for determining a road surface condition, including obtaining first data and obtaining second data. The first data includes a representation of the road surface and originates from a sensor of a first type. The second data includes a representation of the road surface and originates from a sensor of a second type. The method further includes generating third data by applying a feature extraction technique on the first data and generating fourth data by applying a feature extraction technique on the second data. Additionally, the method includes generating fifth data by fusing the third data and the fourth data and determining the road surface condition by classifying the fifth data in at least one class of a set of predefined classes. Furthermore, a method for controlling a vehicle is presented. Also, a method for training a combination of artificial neural networks is described.

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 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.