Abstract: Provided are a method for predicting an energy consumption-recovery ratio of a new energy vehicle, and an energy saving control method and system for the new energy vehicle. The method includes: (1) acquiring, by means of an electronic horizon system, geographic information data of a position that is K meters ahead on a road from a current position of the new energy vehicle; (2) compiling statistics on speed information during the process of the new energy vehicle traveling S meters to reach the current position, values of K and S being the same; and (3) taking the geographic information data and the speed information as input vectors, inputting the same into a trained artificial neural network, and outputting a predicted energy consumption-recovery ratio. The present disclosure can optimize energy control over the vehicle, improve the utilization rate of electrical energy, and increase the traveling mileage.

Abstract: An agricultural implement includes a sensor configured to emit output signals for reflection off of a surface and detect reflections of the output signals as return signals. Furthermore, the agricultural implement includes a computing system configured to control the sensor such that the sensor emits the output signals for reflection off of a calibration device including a base portion and a plurality of projections extending outward from the base portion such that a top surface of the calibration device approximates a surface profile of the field. Moreover, the computing system is configured to receive data indicative of a profile of the top surface of the calibration device from the sensor in a spatial domain. Additionally, the computing system is configured to convert the received data to a frequency domain using a spectral analysis technique and calibrate an operation of the sensor based on the converted data.

Abstract: Categorizing driving behaviors of other road users includes maintaining a first history of first lateral-offset values of a road user with respect to a center line of a lane of a road; determining a first pattern based on the first history of the first lateral-offset values; determining a driving behavior of the road user based on the first pattern; and autonomously performing, by a host vehicle, a driving maneuver based on the driving behavior of the road user. The first history can be maintained for a predetermined period of time. An apparatus includes a processor that is configured to track a trajectory history of a road user; determine, based on the trajectory history, a driving behavior of the road user; and transmit a notification of the driving behavior.

Abstract: A vehicle controller includes: a surrounding area recognition unit that detects a state surrounding a subject vehicle; a human detection unit that detects a specific target object in a specific area into which entry of the specific target object is restricted; an automated driving control part that provides control such that the subject vehicle follows a vehicle traveling ahead thereof, based on a result detected by the surrounding area recognition unit. The automated driving control part makes the subject vehicle operate at at least one of a first support status, and a second support status which has an automated degree higher than that of the first support status or has a task required to be done by a vehicle occupant of the subject vehicle less than that of the first support status.

Abstract: A system for establishing an operational flight plan includes a basic flight data acquisition unit for acquiring basic flight data from an external flight plan development system, the basic flight data comprising at least one theoretical fuel weight to be loaded into the aircraft. The system also includes an aircraft actual operational specifications acquisition unit for acquiring actual operational specifications of the aircraft, the actual operational specifications including an airplane context; a proposed flight data calculating unit for calculating proposed flight data including at least one proposed weight of fuel corresponding to the theoretical weight, calculated based on actual operational specifications of the aircraft and a specified trajectory of the aircraft; and a viewer, and a display manager capable of displaying a proposed flight data display window including the proposed fuel weight.

Abstract: An arrangement for a vehicle is provided. The subject arrangement includes: at least one sensor element for sensing a change, in particular an approach by an activation means, in the surroundings of the sensor element, a controlling arrangement which is electrically connected to the sensor element to provide an electric sensor signal specific to a parameter of the sensor element, which in turn is specific to the sensed change in the surroundings, an evaluation arrangement for repeatedly determining the parameter of the sensor element by means of a transmission of the sensor signal to a storage arrangement in order to perform the detection of the activation action, and an evaluation filter arrangement of the evaluation arrangement for bandpass filtering and/or for transconductance conversion of the sensor signal for the transmission to the storage arrangement.

Abstract: Systems and methods for alerting reverse current conditions of vehicle charging systems. One embodiment provides an aircraft power system comprising an aircraft power source and a notification device. The notification device includes a control unit configured to monitor a supply of current from an external power supply to the aircraft power source and detect a reverse current condition of current flowing from the aircraft power source to the external power supply. In response to detecting the reverse current condition, the control unit is configured to provide a notification indicative of the reverse current condition.

Abstract: A system comprising one or more computing devices implements a vehicle information extraction service. The vehicle information extraction service enables customers to maintain a model of a fleet of vehicles and collect vehicle information from heterogenous vehicles included in the fleet, wherein the vehicles are configured with different in-vehicle communication configurations. The vehicle information extraction service automatically generates scheme packets for data collection to be sent to the heterogenous vehicles, wherein are formatted in accordance with the different respective in-vehicle communication configurations of the heterogenous vehicles, without the customer of the vehicle information extraction service having to account for these differences.

Abstract: A computer is programmed to receive a plurality of first values for a respective plurality of variables transmitted over a communications network of a vehicle; determine a similarity measure between the first values and a plurality of second values of the variables; determine whether to transmit a collection of data transmitted over the communications network based on the similarity measure; and, upon so determining, transmit the collection of data to a server remote from the vehicle. The second values are a most similar set of values from an activation surface for a feature of the vehicle. The activation surface is a surface in a space defined by the variables dividing the space into regions in which activation of the feature is more or less likely than not, respectively, to have occurred when the variables have values in that region.

Abstract: Various examples are directed to systems and methods for routing a plurality of autonomous vehicles. A batch routing system may receive a first general route cost request from a first autonomous vehicle. The batch routing system may determine a first set of general routes for the first autonomous vehicle. The batch routing system may send a first general route cost reply to the first autonomous vehicle. The first general route cost reply may indicate a first set of costs associated with the first set of general routes. The first set of costs may comprise a first general cost for the first general route and a second general cost for the second general route.

Abstract: The invention relates to a method for a string comprising a plurality of vehicles, including a lead vehicle and at least one follower vehicle, comprising the follower vehicle following, by means of vehicle-to-vehicle communication, the lead vehicle in a follower trajectory. The method comprises generating surroundings data, regarding the surroundings of at least a part of the string, generating, using the surroundings data, a backup trajectory, which is different from the follower trajectory, wherein the generated backup trajectory, or the surroundings data, is received by at least one of the at least one follower vehicle, wherein the receiving follower vehicle follows the generated backup trajectory, upon a determination of a predetermined condition for following the generated backup trajectory.

Abstract: Systems and methods systems provide for client control over an Autonomous Vehicle (AV). The AV can determine sets of mechanical operations that it can take at a future time. The AV can determine a ranking for each of the sets of mechanical operations, including a first ranked set and at least one second ranked set. Client or user selection can be given a certain score, weight, or other value. The AV can apply the value to the second ranked set to determine an adjusted ranking. If the adjusted ranking outranks a ranking of the first ranked set, then the AV can expose the first ranked set and the second ranked set to a client interface. If the AV receives a selection of the second ranked set, the AV can perform that set of mechanical operations. Otherwise, the AV can perform the first ranked set of mechanical operations.

Abstract: A method for controlling a motor vehicle (10) traveling on a road (12) in a current lane (14) is presented. The road (12) has at least one further lane (16) which is adjacent to the current lane (14) of the motor vehicle (10). The method comprises the following steps: A driving maneuver graph is generated and/or received, which contains information about at least two different driving maneuvers for the motor vehicle (10). One of the at least two possible driving maneuvers is selected by means of a machine learning module (36) which applies a machine learning method to the driving maneuver graph. A control device (30) for a system (26) for the control of a motor vehicle (10) is also proposed.

Abstract: A driving assistance device includes processing circuitry to acquire host vehicle information, receive mobile object information from a mobile object outside the host vehicle using wireless communication, determinate a right or left turn of the host vehicle based on the host vehicle information, obtain a prediction point by calculating a right or left turn point of the host vehicle based on the host vehicle information, determine whether or not the host vehicle collides with the mobile object using the host vehicle information, the mobile object information, and the prediction point, and perform driving assistance of the host vehicle based on a result of the collision determination. The processing circuitry obtains the prediction point by calculating, on a basis of a preset deceleration, a distance required for the speed of the host vehicle HV included in the host vehicle information to reach a target speed set in advance.

Abstract: A method for removing extraneous content in a first plurality of images, captured at a corresponding plurality of poses and a corresponding first plurality of times, by a first drone, of a scene in which a second drone is present includes the following steps, for each of the first plurality of captured images. The first drone predicts a 3D position of the second drone at a time of capture of that image. The first drone defines, in an image plane corresponding to that captured image, a region of interest (ROI) including a projection of the predicted 3D position of the second drone at a time of capture of that image. A drone mask for the second drone is generated, and then applied to the defined ROI, to generate an output image free of extraneous content contributed by the second drone.

Abstract: A platooning control method includes: determining whether a preceding vehicle, which is located in front of a host vehicle, has entered a slope section when a plurality of vehicles are moving on a road, acquiring longitudinal distance information between the host vehicle and the preceding vehicle using a Dead-Reckoning (DR) sensor of the host vehicle upon determining that the preceding vehicle has entered the slope section, and performing platooning control by the host vehicle with the plurality of vehicles in the slope section using the longitudinal distance information acquired by the DR sensor and speed information.

Abstract: Techniques for determining a location for a vehicle to join a route structure are discussed herein. A vehicle computing system may operate the vehicle off the route structure according to an inertial-based reference frame. The vehicle computing system may determine a lateral distance of the vehicle to a route of the route structure and an angular difference between a heading of the vehicle and a direction of travel associated with the route. The vehicle computing system may determine a location to rejoin the route based on the lateral distance and the angular difference. In some examples, the vehicle computing system may determine the location based on a sigmoid function. The vehicle computing system may determine a vehicle trajectory to the location and may control the vehicle to the route based on the vehicle trajectory and the inertial-based reference frame.

Abstract: An accompanying mobile body in which a response to an abrupt change in a traveling direction of a user is restrained from being delayed. A movement state recognition section recognizes a moving direction and a moving speed of a user. A predicted location calculation section calculates a predicted location of the user after a first predetermined time period based on the moving direction and the moving speed of the user. An accompanying control section performs accompanying control to cause an accompanying mobile body to move by a traveling unit toward a target location of accompanying that is a location apart from the predicted location by a specified distance in a specified direction.

Abstract: The present disclosure provides a method and an apparatus for vehicle control. The method includes: obtaining (101) manual operation information of a vehicle; determining (102) an intervention intention of a driver based on the manual operation information; and controlling (103), when the vehicle is currently in an automated driving mode and the intervention intention is determined to be a slow intervention, the vehicle to reach a predetermined safe state and handing corresponding control of the vehicle over to the driver. The method and apparatus can solve potential safety problems in vehicle control and improve safety of the vehicle control.

Abstract: Embodiments of a system/method is disclosed to operate an autonomous driving vehicle (ADV). In one embodiment, a system perceives a driving environment surrounding the ADV using a plurality of sensors mounted on the ADV including one or more obstacles. The system receives traffic signal information from one or more traffic indicators identified within a predetermined radius of the ADV. For each of the one or more obstacles, the system determines if the obstacle is situated on a lane with traffic flow coordinated by the one or more traffic indicators. The system predicts a behavior of the obstacle based on the traffic signal information for the lane. The system plans a trajectory based on the predicted behaviors for the one or more obstacles to control the ADV based on the planned trajectory.