A system and method for operating a rotatable knob module with adjustable tactile feedback. The rotatable knob module includes a knob configured to continuously rotate about a center axis and an electronic processor. The electronic processor is configured to determine a current trailer angle, define a virtual center position of the knob based on the current trailer angle, and adjust a rotational torque of the knob when the knob is rotated from a first rotational position to a second rotational position based on a relative virtual rotational distance of the second rotational position from the virtual center position.

Detecting a damage angle between a vehicle and a trailer. One example system includes an electronic controller and a rear-view camera configured to obtain video of the trailer. The electronic controller is configured to receive the video of the trailer from the rear-view camera and determine a damage point based upon the video of the trailer. The electronic controller is further configured to determine a change in a rotation angle of the trailer and determine a changed location of the damage point of the trailer based upon the change in the rotation angle of the trailer. The electronic controller is also configured to determine a damage angle based upon the changed location of the damage point relative to the vehicle and determine at least one maneuver to avoid collision between the damage point and the vehicle based upon the damage angle.

The disclosure relates to a method for reversing a vehicle combination (1) comprising a towing vehicle (10) and at least one trailer (20), said method comprising: (S10) reversing the vehicle combination, (S20) determining whether a jack-knifing condition (J) is about to occur by comparing a predicted future estimate of the articulation angle (Φ) with a maximum safe articulation angle (Φ.sub.lim), wherein the maximum safe articulation angle (Φ.sub.lim) is estimated according to the first aspect of the invention, and when it is determined that the jack-knifing condition (J) is about to occur, perform at least one of the following steps: (S30) issue a warning signal, and (S40) initiate a braking action for the vehicle combination, wherein the predicted future estimate of the articulation angle (Φ) is based on an estimated driver reaction time for initiating a braking action.

Systems and methods for dynamic predictive control of autonomous vehicles are disclosed. In one aspect, an in-vehicle control system for a semi-truck includes one or more control mechanisms configured to control movement of the semi-truck and a processor. The system further includes computer-readable memory in communication with the processor and having stored thereon computer-executable instructions to cause the processor to receive a desired trajectory and a vehicle status of the semi-truck, determine a dynamic model of the semi-truck based on the desired trajectory and the vehicle status, determine at least one quadratic program (QP) problem based on the dynamic model, generate at least one control command for controlling the semi-truck by solving the at least one QP problem, and provide the at least one control command to the one or more control mechanisms.

A computer includes a processor and a memory, and the memory stores instructions executable by the processor to, in response to a vehicle towing a trailer being in reverse, determine a relative orientation of the trailer to the vehicle; while the vehicle is in reverse, in response to the relative orientation exceeding a threshold, brake the vehicle; and then, upon receiving an operator input, permit the vehicle to travel in reverse with the relative orientation exceeding the threshold.

A system for implementing a lane bias maneuver to negotiate a curved road comprises an autonomous vehicle and a control device. The control device determines that the autonomous vehicle is approaching a curved road. The control device determines a road radius of the curved road. The control device calculates a first lane bias adjustment amount associated with a road curvature of the curved road based on the road radius. The control device calculates a second lane bias adjustment amount associated with a trailer angle between a trailer and a semi-truck tractor unit of the autonomous vehicle. The control device calculates a total lane bias adjustment amount by combining the first and second lane bias adjustment amounts. The control device instructs the autonomous vehicle to perform a lane bias maneuver that comprises driving the autonomous vehicle off-center in a curved lane based on the total lane bias adjustment amount.

An autonomous vehicle (AV) includes features that allows the AV to comply with applicable regulations and statutes for performing safe driving operation. An example method includes detecting that a group of motorcycles is operating on a roadway on which the AV is located. The group of motorcycles are each located within a pre-determined distance away from one another. The method further includes determining an aggregate footprint area that surrounds respective locations of the group of motorcycles. The method further includes causing navigation of the autonomous vehicle that avoids penetration of the aggregate footprint area based on transmitting navigation instructions to one or more subsystems of the autonomous vehicle.

An example method includes detecting, via sensor data collected from sensors located on the AV, an upcoming object located on a roadway. The method further includes determining, from the sensor data, a relative distance and a relative direction of the upcoming object with respect to the autonomous vehicle. The method further includes mapping the upcoming object to an absolute location with respect to the roadway based on map data that describes upcoming topology of the roadway and a location of the autonomous vehicle. The method further includes associating the upcoming object with a lane of the roadway based on the absolute location mapped to the upcoming object and based on lane geometry data for the roadway. The method further includes operating the autonomous vehicle based on a relationship between the lane associated with the upcoming object and a current lane in which the autonomous vehicle is located.

An autonomous vehicle (AV) includes features that allows the AV to perform safe driving operations. An example method includes detecting that a motorcycle is operating on a roadway on which the autonomous vehicle is located. The method further includes classifying a behavior state of the motorcycle based on a location of the motorcycle relative to a split zone that extends between and into two adjacent lanes of the roadway. The behavior state indicates whether the motorcycle is lane splitting. The method further includes determining, based on the behavior state of the motorcycle, a lane permission parameter that controls whether a given trajectory for the autonomous vehicle can extend into one of the two adjacent lanes. The method further includes causing the autonomous vehicle to operate in accordance with a trajectory that satisfies the lane permission parameter based on transmitting instructions related to the trajectory to subsystems of the autonomous vehicle.

The present invention relates to the fields of mechanical and electronic engineering, focusing on energy efficiency on freight transport systems. More specifically, the invention applies to Long Combination Vehicles (LCV), in which the semi-trailer is provided with an auxiliary traction system, such as electric traction with regenerative braking, for example. The invention provides means for controlling the actuation of the auxiliary traction, which provides safe use and enhances economic and environmental savings in freight transport. In one embodiment, the invention provides a system for managing the auxiliary traction on a road implement that provides improved, safer drivability of the set.