Abstract: A method is for controlling a system for regulating a distance between a target vehicle and a following vehicle, with the regulation system being installed on the following vehicle. The method includes the implementation of a control law for regulating the distance which calculates, for a plurality of possible combinations of speeds of movement of the following vehicle and the target vehicle, potential setpoint distances, and, for a given combination of speeds of movement of the following and target vehicles, from the plurality of possible combinations, the determination of a final setpoint distance among the potential setpoint distances previously calculated by the control law.

Abstract: A method and apparatus for achieving vehicle-road coordination at an intersection without signal lights, the method comprising: acquiring information used for trajectory planning, and inputting the information used for trajectory planning into a model for planning a vehicle driving trajectory to obtain planned trajectory information, wherein the model used for planning the vehicle driving trajectory determines constraint conditions for avoiding collisions on the basis of road region width information in a plane coordinate system, the coordinates of obstacles, and the coordinates and traffic action types of each vehicle, and determines a loss function on the basis of motion state parameters of each vehicle and the coordinates of each vehicle; and on the basis of the planned trajectory information, driving each vehicle to drive.

Abstract: A digital map representing a physical location as a hierarchical structure of cells. Each cell has attributes including but not limited to permeability in each direction of a three-dimensional coordinate system and associated with one or more faces or edges of a boundary. The permeability pertains separately to transmissions of radio frequency signals and to physical travel of objects and persons.

Abstract: A method and device for controlling a rear-axle steering system, in particular a rear-axle steering system of a motor vehicle, determines a current physical condition of the rear-axle steering system on the basis of a detected current operating state and a pre-determined reference operating state of the rear-axle steering system. The method defines a maximum permissible steering angle of the rear-axle steering system depending on the estimated physical condition of the rear-axle steering system and depending on at least one of the operating parameters of driving speed, steering angle and steering angle speed of the vehicle, and actuates the rear-axle steering system such that the steering angle of the rear-axle steering system does not exceed the assigned defined maximum permissible steering angle for the current operating parameter(s) of the vehicle.

Abstract: A vehicle access system is disclosed having the plurality of system nodes for localizing a target portable device. In addition to Passive Entry/Passive Start (PEPS) features, the vehicle access system is configured to provide a variety of additional intelligent features depending on which zone of the vehicle the target portable device is located, depending on an identity of the person carrying the target portable device, and depending on other parameters or conditions.

Abstract: A method for maintaining a marine vessel at a target position in a body of water, the method being carried out by a processing system and including: estimating at least one roughness condition of the body of water based on measurements related to an attitude of the marine vessel; calculating a desired linear velocity based on a difference between an actual position of the marine vessel and the target position; filtering an actual linear velocity of the marine vessel based on the roughness conditions; and operating a propulsion system of the marine vessel to move the marine vessel to minimize a difference between the desired linear velocity and the filtered actual linear velocity. A method for maintaining a marine vessel at a target heading in a body of water is also disclosed.

Abstract: The present invention provides a real-time path planning method taking into account dynamic properties of vehicles; the method includes a calculation without connecting to internet of a reachable set and an online path planning; in the calculation without connecting to internet of the reachable set, all vehicle safety states are traversed by means of the vehicle model and the wheel model, thereby predicting the position set capable of being reached by the vehicle at a next moment; in the online path planning, by means of calculating the position set capable of being reached by the vehicle at the next moment with connecting to internet, non-linear dynamic constraints are provided for the exploration of the artificial potential field method, achieving the purpose of real-time planning while taking into account dynamic properties of the vehicles.

Abstract: Disclosed is a method for operating an operating system in a vehicle, wherein display data of a graphical user interface comprising at least one first display region are generated and output. The graphical user interface comprises a basic state and an info state. Context data about a current context of the vehicle are recorded and a first relevance value is determined for a first info application based on the recorded context data. The info state is activated depending on the determined first relevance value of the first info application, wherein, when the info state is activated, the first display region is reduced in size such that an info region is formed and a graphical info object is generated using the first info application and output in the info region.

Abstract: Systems and methods for navigating an aerial vehicle are provided. One example aspect of the present disclosure is directed to a method for navigating an aircraft. The method includes receiving, by one or more processors, one or more first geographic coordinates via an interface configured to receive geographic coordinates from a satellite transmission. The method includes receiving, by the one or more processors, one or more second geographic coordinates via an interface configured to receive geographic coordinates from a ground transmission. The method includes determining, by the one or more processors, that the one or more first geographic coordinates and the one or more second geographic coordinates are inconsistent. The method includes updating, by the one or more processors, a flight plan using the one or more second geographic coordinates when the one or more first geographic coordinates are inconsistent with the one or more second geographic coordinates.

Abstract: A method for controlling a vehicle within a confined site, the method including, following a determination that there is no steering system available in a vehicle that can be controlled by steering control signals generated in automated fashion in order to influence a steering angle of wheels of a steered vehicle axle of the vehicle in automated fashion, specifying a path between a starting area and a specified destination area within the confined site, and generating drive control signals and steering braking control signals such that, during subsequent automated control of a drive system and of a brake system using the control signals, the vehicle moves from the starting area along the path to the specified destination area, and the steering angle varies owing solely to automated control of the brakes of the brake system.

Abstract: A navigation system includes an IMU, a navigation estimator configured to estimate a current navigation solution based on (i) a previous navigation solution, and (ii) a specific force vector and an angular rate vector measured by the IMU, an RI sensor, an RI data preprocessor configured to perform an a priori transformation of RI data acquired by the RI sensor using the current navigation solution to obtain transformed RI data, an RI map database configured to retrieve a valid keyframe map based on the transformed RI data, and an RI filter manager (RFM) configured to construct a map registration cost gradient (MRCG) measurement based on (i) the transformed RI data, and (ii) the known position and the known orientation of the valid keyframe map. The navigation estimator is further configured to determine an absolute navigation solution based on at least (i) the current navigation solution, and (ii) the MRCG measurement.

Abstract: The present invention provides specific systems, methods and algorithms based on artificial intelligence expert system technology for determination of preferred routes of travel for electric vehicles (EVs). The systems, methods and algorithms provide such route guidance for battery-operated EVs in-route to a desired destination, but lacking sufficient battery energy to reach the destination from the current location of the EV. The systems and methods of the present invention disclose use of one or more specifically programmed computer machines with artificial intelligence expert system battery energy management and navigation route control. Such specifically programmed computer machines may be located in the EV and/or cloud-based or remote computer/data processing systems for the determination of preferred routes of travel, including intermediate stops at designated battery charging or replenishing stations.

Abstract: The present disclosure relates to a UAV delivery and operation station that includes: a drone control device; a station providing a drone standby and landing place; and a drone operated in accordance with instructions from the drone control device, wherein the drone control device includes: a flight route storage storing designated flight routes (GPS information) stored in advance for delivery destinations, respectively; and a first transceiver transmitting the designated flight routes (GPS information) to the drone using LTE or RF.

Abstract: A server accesses vehicle data from each connected vehicle (CV) of a subset of a plurality of CVs on a roadway portion, the vehicle data comprising at least one of: a position, a velocity, or a headway. The server generates, based on the accessed vehicle data, a long-term shared world model. The server generates, using the long-term shared world model, a data structure representing predicted future velocities on the roadway portion by position and time by applying a traffic flow model to the long-term shared world model. The server transmits, to a connected autonomous vehicle (CAV), a control signal for controlling operation of the CAV based on the generated data structure.

Abstract: An electronic system for controlling vibrations and/or inertial forces occurring at a plurality of areas of interest within an operating vehicle, the electronic device comprising circuitry configured to: receive input data comprising sensor data from one or more environment sensors (12) and/or one or more internal sensors (14); convert, by means of a machine learning system (18), the input data into actuator settings; and transmit the actuator settings to one or more actuators (20) to control vibrations and/or inertial forces occurring at each of the plurality of areas of interest within the vehicle.

Abstract: An autonomous travel system equipped with a first travel route creation unit, a second travel route creation unit, a linked route creation unit, and a storage unit. The first travel route creation unit is capable of creating a first travel route. The second travel route creation unit is capable of creating a second travel route. The linked route creation unit has a function for creating the second travel route in conjunction with the creation of the first travel route by the first travel route creation unit and/or a function for creating the first travel route in conjunction with the creation of the second travel route by the second travel route creation unit. The storage unit stores, in association with each other, the travel route created by the first travel route creation unit or the second travel route creation unit, and the travel route created by the linked route creation unit.

Abstract: The present disclosure provides a system and a method for parking an autonomous ego-vehicle in a dynamic environment of a parking area. The method includes collecting measurements of a state of the dynamic environment, a state of one or multiple stationary vehicles and one or multiple obstacle vehicles moving in the parking area. The method further includes executing a path planner configured to produce a trajectory based on the state of the dynamic environment and executing an environment predictor configured to predict a path and a mode of motion for each of the obstacle vehicles. The method further includes determining a safety constraint for each of the obstacle vehicles based on the path and the mode of motion for each of the obstacle vehicles and parking the autonomous ego-vehicle based on the trajectory for parking and the safety constraint for each of the obstacle vehicles.

Abstract: Embodiments of the application provide a position estimation and prediction method for a moving object. The method includes: updating a model parameter of a position prediction model according to a position data sequence of the moving object at a current sampling moment; determining position prediction data at the current sampling moment according to the position data sequence and the position prediction model after the model parameter is updated; determining position estimation data at the current sampling moment according to the position prediction data and the position observation data at the current sampling moment; and determining position prediction data of a next sampling moment according to the position estimation data at the current sampling moment, the position data sequence and the position prediction model after the model parameter is updated, and entering an iteration operation of the next sampling moment.

Abstract: Detection of a launch event of an autonomous vehicle may consider input from a variety of sensors, including acceleration sensors and touch sensors In some aspects, a method includes receiving a first input from a touch sensor, receiving a second input from an accelerometer, determining whether a launch of the autonomous vehicle is detected based on the first input and the second input, and controlling the autonomous vehicle in response to the determining. In some aspects, when a launch is detected, a motor of the autonomous vehicle may be energized. By detecting a launch event in this manner, improved safety and reliability may be realized. A reduced occurrence of false positive launch events may reduce a risk that the motor of the autonomous vehicle is energized when the vehicle has not actually been launched.

Abstract: An embodiment sensor information fusion method includes estimating, by a host vehicle, reliability of shared sensor fusion information received from a neighboring vehicle, the shared sensor fusion information being generated by the neighboring vehicle, and generating, based on the estimated reliability, fusion track information of an object located near the host vehicle or the neighboring vehicle using host vehicle sensor fusion information generated by the host vehicle and the shared sensor fusion information.