Techniques for using a set of non-steering variables to estimate an angle of a wheel are described. For example, a yaw rate, a linear velocity of a wheel, and vehicle dimensions (e.g., offset between the wheel and a turn-center reference line), can be used to estimate the angle of the wheel. Among other things, estimating angles based on non-steering variables may provide redundancy (e.g., when determined in parallel with steering-based command angles or other commanded angles) and/or may be used to validate commanded angles based on steering components.

In embodiments, a method positions and aligns an autonomous tractor coupling with an articulated trailer located in a pick-up spot. A staging path that terminates at a staging point corresponding to the pick-up spot is determined, and the tractor is controlled to follow the staging path to the staging point and then couple with the trailer. In embodiments, a method positions and aligns an autonomous tractor coupled to an articulated trailer in preparation for the tractor to reverse the trailer into a drop-off spot. A staging path having a shape and a staging point is determined, and the autonomous tractor is controlled to follow the staging path to the staging point. The staging path is shaped such that, after following the staging path to the staging point, the tractor and trailer are positioned for reversing into the drop-off spot.

A method for estimating an effective length of a first vehicle segment of a vehicle combination, the vehicle combination comprising a towing vehicle which is connected to the first vehicle segment via a first articulation joint and a perception sensor mounted on one of the towing vehicle and the first vehicle segment and arranged to obtain an image of the other one of the towing vehicle and the first vehicle segment; the method comprising identifying that the vehicle combination is provided in a first steady vehicle state, identifying that a turning and driving manoeuvre is initiated, identifying when the vehicle combination reaches a second steady vehicle state, determining a time period required for driving the vehicle combination from the first steady vehicle state to the second steady vehicle state, and estimating the effective length by use of the time period, the specific angular change, and the specific speed.

The present disclosure relates to an autonomous vehicle system or a driver assistance system that detects an object in front of the vehicle, judges whether a condition calls for an operation of a lateral movement system for collision avoidance, determines a direction of the lateral movement, and executes the lateral movement.

A transportation vehicle with at least one first sensor for capturing environment data, at least one second sensor for capturing transportation vehicle data, a communication module for establishing a data connection with another transportation vehicle, a driving system for automated driving of the transportation vehicle, at least one output element for a visible/audible warning signal, and a control unit. The control unit determines a predicted trajectory of the transportation vehicle, determines a predicted path of the transportation vehicle and receives a predicted trajectory and vehicle geometry data of the other transportation vehicle via the data connection, determines a predicted path of the other transportation vehicle, determines a possible collision of the transportation vehicle with the other transportation vehicle, and in response to a possible collision, outputs a warning signal by the at least one output element and/or carries out an automated driving maneuver by the driving system.

A system for maneuvering a vehicle has a detection system, a prediction system, and a vehicle control system. The detection system is configured to detect a nearby vehicle adjacent to the vehicle. The prediction system is configured to calculate a predicted trajectory of the nearby vehicle upon receiving a detection result from the detection system. The vehicle control system is configured to maneuver the vehicle based on the predicted trajectory upon receiving a control signal from the prediction system. The vehicle control system maneuvers the vehicle to keep a specified distance away from the nearby vehicle. A method for maneuvering a vehicle includes detecting a nearby vehicle adjacent to the vehicle, calculating a predicted trajectory of the nearby vehicle, and maneuvering the vehicle based on the predicted trajectory to keep a specified distance away from the nearby vehicle.

A remote operator that remotely assists in traveling the autonomous traveling vehicle refer to a remote monitoring terminal. A remote monitoring device acquires data of a plurality of sensors mounted on the autonomous traveling vehicle, executes an image generation processing for generating an around-view of the vehicle by processing the data, calculates the lane width of the lane traveled by the vehicle based on the map information, calculates the vehicle width ratio of the vehicle with respect to the lane width, and when the vehicle width ratio is greater than a predetermined determination threshold, provides the generated around-view by the image generation processing to the remote monitoring terminal.

A system for estimating tire parameters for an off-road vehicle in real time, the system including a processing circuit including a processor and memory, the memory having instructions stored thereon that, when executed by the processor, cause the processing circuit to measure a position of the vehicle at a first time, determine, based on the position, motion characteristics of the vehicle, predict, based on the motion characteristics, a position of the vehicle at a second time, measure a position of the vehicle at the second time, and generate a tire parameter associated with the vehicle based on the predicted position and the measured position of the vehicle at the second time.

Systems and methods for virtual vehicle parking assistance are disclosed herein. An example method includes determining a current vehicle position and vehicle dimensions of a vehicle, determining parking space dimensions of a parking space, receiving a desired parking position for the vehicle through an augmented reality interface, the augmented reality interface including a three-dimensional vehicle model based on the vehicle dimensions, the augmented reality interface being configured to allow a user to virtually place the three-dimensional vehicle model in the parking space to determine the desired parking position, determining a virtual parking procedure for the vehicle based on the desired parking position selected by the user and the parking space dimensions of a parking space and causing the vehicle to autonomously park based on the virtual parking procedure.

This document describes methods by which a system determines a pickup/drop-off zone (PDZ) to which a vehicle will navigate to perform a ride service request. The system will define a PDZ that is a geometric interval that is within a lane of a road at the requested destination of the ride service request by: (i) accessing map data that includes the geometric interval; (ii) using the vehicle's length and the road's speed limit at the destination to calculate a minimum allowable length for the PDZ; (iii) setting, start point and end point boundaries for the PDZ having an intervening distance that is equal to or greater than the minimum allowable length; and (iv) positioning the PDZ in the lane at or within a threshold distance from the requested destination. The system will then generate a path to guide the vehicle to the PDZ.