According to an aspect of an embodiment, operations may comprise receiving, from a LIDAR mounted on a vehicle, a first 3D point cloud comprising points of a region around the vehicle as observed by the LIDAR. The operations may also comprise accessing an HD map comprising a second 3D point cloud comprising points of the region around the vehicle. The operations may also comprise segmenting LIDAR ground points from LIDAR non-ground points in the first 3D point cloud. The operations may also comprise segmenting map ground points from map non-ground points in the second 3D point cloud. The operations may also comprise determining a pose of the vehicle by matching the LIDAR ground points to the map ground points and by matching the LIDAR non-ground points to the map non-ground points.

A method of controlling a mobile machine having a set of ground engaging elements includes receiving an image of terrain proximate the mobile machine, detecting a contour of the terrain, determining a projected path of the set of ground engaging elements based on the detected contour of the terrain, and controlling a display device to display the image with an overlay representing the projected path of the ground engaging elements.

In various examples, a current claimed set of points representative of a volume in an environment occupied by a vehicle at a time may be determined. A vehicle-occupied trajectory and at least one object-occupied trajectory may be generated at the time. An intersection between the vehicle-occupied trajectory and an object-occupied trajectory may be determined based at least in part on comparing the vehicle-occupied trajectory to the object-occupied trajectory. Based on the intersection, the vehicle may then execute the first safety procedure or an alternative procedure that, when implemented by the vehicle when the object implements the second safety procedure, is determined to have a lesser likelihood of incurring a collision between the vehicle and the object than the first safety procedure.

Systems and methods for calibrating multiple inertial measurement units on a system include calibrating a first of the inertial measurement units relative to the system using a first calibration model, and calibrating the remaining inertial measurement unit(s) relative to the first inertial measurement unit using a second calibration model. The calibration of the remaining inertial measurement unit(s) to the first inertial measurement unit can be based on a rigid body model by aligning a rotational velocity of the first inertial measurement unit with a rotational velocity of the remaining inertial measurement unit(s).

A method for ascertaining movement variables of a two-wheeled vehicle. The two-wheeled vehicle includes a sensor system including rotational rate, acceleration, and wheel rotational speed sensors. The wheel rotational speed sensor detects at least one measurement pulse per rotation of a wheel of the two-wheeled vehicle. The method includes: acquisition of three-dimensional rotational rates of the two-wheeled vehicle by the rotational rate sensor, acquisition of acceleration values by the acceleration sensor, estimation of a state of movement of the two-wheeled vehicle based on the acquired rotational rates, the state of movement including estimated values for estimated acceleration values and for an estimated speed and for an estimated distance traveled, first correction of the estimated state of movement based on the acquired acceleration values, and ascertaining of an instantaneous speed of the two-wheeled vehicle and/or of a distance traveled by the two-wheeled vehicle, based on the corrected estimated state of movement.

A method for operating a two-wheeler. The two-wheeler includes a drive unit and a sensor system, the sensor system including a rotation rate sensor, an acceleration sensor, and a wheel speed sensor. The wheel speed sensor detects at least one measuring pulse per revolution of a wheel of the two-wheeler. The method includes: detecting three-dimensional rotation rates of the two-wheeler, detecting acceleration values of the two-wheeler, and estimating a motion state of the two-wheeler based on the detected rotation rates, the motion state including estimated values for estimated acceleration values and an estimated speed and an estimated distance covered, first correction of the estimated motion state based on the detected acceleration values, ascertaining an instantaneous steering angle of the two-wheeler based on the corrected estimated motion state, and actuating the drive unit and/or an antilocking system of the two-wheeler as a function of the ascertained instantaneous steering angle.

A suspension system and associated control methods for improving the effectiveness of driver assistance systems is disclosed where the driver assistance systems can generate and send requests to a suspension control unit (SCU) of the suspension system to actuate (e.g., close) one or more comfort valves in the suspension system to increase the roll stiffness and/or pitch stiffness of the suspension system when the driver assistance systems are taking corrective action. As part of a two-way communication between the suspension control unit (SCU) and the driver assistance systems, the suspension control unit (SCU) communicates target stiffnesses and/or calculated effective stiffnesses to the driver assistance systems, which is used to update the vehicle stability models used by the driver assistance systems.

An example calibration system may include a tractor and a calibration unit. The tractor may include a first sensor and a second sensor. The calibration unit may include a processing unit and a non-transitory computer-readable medium containing instructions to direct the processing unit to: (1) determine a first estimate for a tractor parameter based upon signals received from the first sensor; (2) determine a second estimate for the tractor parameter based upon signals received from the second sensor; (3) determine a third estimate for the tractor parameter based upon a combination of the first estimate and the second estimate; (4) determine a tractor parameter correction based upon the second estimate and the third estimate; and (4) apply the tractor parameter correction to the second sensor to control positioning of the tractor.

A dynamic velocity planning method for an autonomous vehicle is performed to plan a best velocity curve of the autonomous vehicle. An information storing step is performed to store an obstacle information, a road information and a vehicle information. An acceleration limit calculating step is performed to calculate the vehicle information according to a calculating procedure to generate an acceleration limit value range. An acceleration combination generating step is performed to generate a plurality of acceleration combinations according to the obstacle information, the road information, and the acceleration limit value range. An acceleration filtering step is performed to filter the acceleration combinations according to a jerk threshold and a jerk switching frequency threshold to obtain a selected acceleration combination. An acceleration smoothing step is performed to execute a driving behavior procedure to adjust the selected acceleration combination to generate the best velocity curve.

The invention relates to a method for determining kinetosis in a vehicle user of a vehicle during at least one travel event in which at least one body part of the vehicle user is monitored, as a result of which image data are generated. Driving dynamics of the vehicle are monitored as the vehicle is being driven, as a result of which driving dynamics data are generated for every travel event while the vehicle is in motion. The image data are evaluated to determine the formation of sweat on the at least one body part of the vehicle user, as a result of which approximated electrodermal activity data are generated. The driving dynamics data are associated with the approximated electrodermal activity data, as a result of which the kinetosis of the vehicle user in at least one of the travel events is determined.