An agricultural machine includes a vehicle body including a front wheel and a rear wheel, a hood at a front portion of the vehicle body, a protector provided to the vehicle body to protect an operator seat, and an obstacle detector to detect an obstacle, the obstacle detector being located in front of the protector outwardly in a width direction of the hood.

A method at an autonomous vehicle for signaling a refueling attendant, the method including confirming that the autonomous vehicle is proximal to a refueling station; providing a signal to the refueling attendant; waiting for refueling to commence; and if, after a threshold period, refueling has not commenced, repeating the providing the signal.

A method for positioning a mobile object in an underground tunnel includes the steps of determining horizontal progression of a mobile object in an underground tunnel from a preceding position estimate or an initial position of the mobile object; determining horizontal position of the mobile object on the basis of a floor model of the tunnel and the estimated horizontal progression of the mobile object; and generating a three-dimensional position indicator on the basis of the horizontal position of the mobile object and a three-dimensional model of the tunnel.

A map information-providing system, a map information-providing method, and a map information-providing program which can provide map information while suppressing incongruity a recipient feels are provided. A navigation system (map information-providing system) includes a storage unit storing map information for navigation (first map information) and map information for autonomous driving (second map information) an updating period thereof is different from the map information for navigation with respect to at least a portion of a period of time, and a map information-providing unit which provides map information by combining the map information for navigation with the map information for autonomous driving in a case where the map information for autonomous driving had been updated based on newer information than the map information for navigation at a time of providing the map information.

A device may receive, from a fiber sensor device, sensing data associated with a fiber optic cable, the sensing data being produced by an activity that poses a threat of damage to the fiber optic cable, and the sensing data identifying: amplitudes of vibration signals, frequencies of the vibration signals, patterns of the vibration signals, times associated with the vibration signals, and locations along the fiber optic cable associated with the vibration signals. The device may process, with a machine learning model, the sensing data to determine a threat level of the activity to the fiber optic cable, the machine learning model having been trained based on historical information regarding detected vibrations, historical information regarding sources of the detected vibrations, and historical information regarding threat levels to the fiber optic cable. The device may perform one or more actions based on the threat level to the fiber optic cable.

An electromechanical or electromagnetic wheel brake cylinder for a braking system, embodied with at least one hydraulic braking circuit, of a vehicle, including a pressure chamber that is embodied in the electromechanical or electromagnetic wheel brake cylinder and is delimited by a displaceable first brake piston of the electromechanical or electromagnetic wheel brake cylinder, and is linkable to a sub-volume of the at least one hydraulic braking circuit of the braking system in such a way that the first brake piston is displaceable by way of a pressure that is increased at least in in the respective sub-volume. The electromechanical or electromagnetic wheel brake cylinder encompasses an electromechanical or electromagnetic actuator and a second brake piston which is displaceable by operation of the electromechanical or electromagnetic actuator.

Remaining charge acquisition means of a battery installation system acquires remaining charge information on a remaining charge of each of a plurality of batteries which are installable in an unmanned aerial vehicle. Battery weight acquisition means acquires battery weight information on a weight of each battery. Location acquisition means acquires location information on a movement destination of the unmanned aerial vehicle. Selection means selects, based on the remaining charge information, the battery weight information, and the location information, from among the plurality of batteries, a battery having a remaining charge equal to or more than a battery consumption amount for moving to the movement destination. Processing execution means executes processing for installing the battery selected by the selection means in the unmanned aerial vehicle.

Transportation systems have artificial intelligence including neural networks for recognition and classification of objects and behavior including natural language processing and computer vision systems. The transportation systems involve sets of complex chemical processes, mechanical systems, and interactions with behaviors of operators. System-level interactions and behaviors are classified, predicted and optimized using neural networks and other artificial intelligence systems through selective deployment, as well as hybrids and combinations of the artificial intelligence systems, neural networks, expert systems, cognitive systems, genetic algorithms and deep learning.

Methods and systems for communicating between autonomous vehicles are described herein. Such communication may be performed for signaling, collision avoidance, path coordination, and/or autonomous control. A computing device may receive data for the same road segment from autonomous vehicles, including (i) an indication of a location within the road segment, and (ii) an indication of a condition of the road segment. The computing device may generate, from the data for the same road segment, an overall indication of the condition of the road segment, which may include a recommendation to vehicles approaching the road segment. Additionally, the computing device may receive a request from a computing device within a vehicle approaching the road segment to display vehicle data. The overall indication for the road segment may then be displayed on a user interface of the computing device.

The invention relates to a system and method for navigating an autonomous driving vehicle (ADV) that utilizes an-onboard computer and/or one or more ADV control system nodes in an ADV network platform. The on-board computer receives battery monitoring and management data concerning a battery stack. The on-board computer, utilizing a battery management system, determines the current state of charge (SOC) and other information concerning the battery stack and determines if the estimated total amount of electrical power required to navigate an ADV along a generated route to reach the predetermined destination is available. In response to determining that the ADV cannot reach the predetermined destination, the on-board computer automatically initiates a dynamic routing algorithm, which utilizes artificial intelligence, to generate alternative routes in an effort to find a route that the ADV can navigate to reach the destination utilizing the current state of charge (SOC) of the battery stack.