An autonomous navigation system may navigate through an environment in which one or more non-solid objects, including gaseous and/or liquid objects, are located. Non-solid objects may be determined, using sensor data, to present an obstacle or interference based on determined chemical composition, size, position, velocity, concentration, etc. of the objects.

The invention relates to a method for the position determination of an object (6, 6a . . . 6d), which is conveyed on a conveying device (1a . . . 1c). In this process, a deviation (ΔP) between a position (P.sub.sig) of the object (6, 6a . . . 6d), which is calculated with the aid of rotation signals from the drives (M) for conveyor elements (2, 2.sub.M, 2.sub.L) of the conveying device (1a . . . 1c), and a position (P.sub.1 . . . P.sub.5) of a detection area (E.sub.1,E.sub.2) of a sensor (L.sub.1 . . . L.sub.5) fixedly installed on the conveying device (6, 6a . . . 6d) is determined and used for calculating a corrected position (P.sub.korr) of the object (6, 6a . . . 6d) during a movement of the object (6, 6a . . . 6d) away from this detection area (E.sub.1,E.sub.2). Furthermore, a conveying device (1a . . . 1c) for performing the presented method is indicated.

The present disclosure relates generally to identification of drivable surfaces in connection with autonomously performing various tasks at industrial work sites and, more particularly, to techniques for distinguishing drivable surfaces from non-drivable surfaces based on sensor data. A framework for the identification of drivable surfaces is provided for an autonomous machine to facilitate it to autonomously detect the presence of a drivable surface and to estimate, based on sensor data, attributes of the drivable surface such as road condition, road curvature, degree of inclination or declination, and the like. In certain embodiments, at least one camera image is processed to extract a set features from which surfaces and objects in a physical environment are identified, and to generate additional images for further processing. The additional images are combined with a 3D representation, derived from LIDAR or radar data, to generate an output representation indicating a drivable surface.

Provided are methods for operating a vehicle, which can include receiving, from one or more of at least one sensor placed within a vehicle or an application on a communication device connected to the vehicle, data indicative of at least one of an action or an appearance of a passenger of the vehicle; determining, based on the at least one of the action or the appearance, that a modification of at least one operational parameter of the vehicle is required; and modifying, in response to the determining, the at least one operational parameter of the vehicle. Systems and computer program products are also provided.

A vehicle includes a navigation device, a sensor device, and a control device configured to identify an entry of the vehicle into a predetermined section of a road through the navigation device. In particular, the control device may identify at least one of a curvature of the road, a speed of the vehicle, or an acceleration of the vehicle through the sensor device in response to the entry of the vehicle into the predetermined section, and perform a lateral control of the vehicle based on at least one of the curvature of the road, the speed of the vehicle, or the acceleration of the vehicle.

An embodiment driving assistance system for a vehicle includes a driving information provision unit configured to acquire and provide driving information of a traveling vehicle, a control unit configured to generate and output a control signal for driving assistance when it is determined the vehicle travels on a rough road based on the driving information of the vehicle provided by the driving information provision unit and it is determined that the vehicle is currently in a rough road traveling state, and a steering actuator configured to generate and apply a steering assistance force according to a control value of the control signal for the driving assistance output by the control unit to a steering wheel.

A method and system for estimating an unevenness parameter of a road segment having a length (L) are disclosed; the method and system take into account road unevenness induced vehicle body motions and are based on the estimation of the deformation, over multiple tire rotations, of at least two tires fitted to different axles of a vehicle.

Methods and system are described for adjusting an attitude of an airborne vehicle according to terrain where the vehicle is expected to land. In one example, torque output of an electric machine is adjusted to change a pitch of a vehicle to conform to a pitch of terrain where the vehicle is expected to land so that vehicle stability may be improved.

A vehicle control system may include a controller that obtains route information based on a driving route and a location of a vehicle, searches for an uneven road surface on the driving route based on the route information, calculates an impulse based on vehicle information and shape information about the found uneven road surface when the uneven road surface is found, and sets a target speed based on the calculated impulse and user data.

Embodiments of the present disclosure relate to generating velocity profiles for an autonomous vehicle (101). An ECU (107) of the autonomous vehicle (101) receives road information from one or more sensors (106) associated with the autonomous vehicle (101). One or more parameters related to smooth movement of the autonomous vehicle on the road is determined from the road information. Further, a first velocity profile is produced using an AI model and a second velocity profile is produced using a hierarchical model, based on the one or more parameters. Furthermore, one of the first and the second velocity profile is selected by comparing the first and the second velocity profiles. The selected velocity profile has a lower value of velocity value compared to the other velocity profile. The selected velocity profile is provided to the autonomous vehicle (101) for navigating on the road (102) smoothly.