Abstract: A road resource is identified, according to one or more maneuver sharing intent messages received to the vehicle via a transceiver of a vehicle, where the road resource is contested between the vehicle and one or more other vehicles and includes a portion of a roadway to be traversed by the vehicle and also the one or more other vehicles. A conflict resolution procedure is performed to determine whether the vehicle gains access to the road resource, wherein the conflict resolution procedure is independently performed by each of the vehicle and the one or more other vehicles. One of the vehicle or the one or more other vehicles is granted access to the road resource based on the conflict resolution procedure.

Abstract: The present invention provides a vehicle control device and a vehicle control simulation device that enable, even for parallel processing with a plurality of arithmetic devices, approximation in act between at verification of simulation operation on a model base and at verification of operation on an actual vehicle. Provided are: control model information for control of a system; hardware information for operation of a control model; arithmetic-device allocation information as to which arithmetic device in hardware is allocated to perform arithmetic processing to a control program in the control model; delay time information regarding a case where the control model operates on the hardware; and a delay-time adding unit configured to create delay-inclusive control model information in which the delay time information is inserted in the control model, based on at least either the arithmetic-device allocation information or the hardware information.

Abstract: A technology of controlling vehicle environment data transmission between a vehicle and a server is configured to receive mode information determining a mode among a monitoring mode, an urgency mode, or an efficiency mode. When determined to be operated in the monitoring mode, a control command for instructing the vehicle to perform a continuous monitoring or a regular monitoring of an environment of the vehicle is generated. When determined to be operated in the urgency mode, a control command for instructing the vehicle to transmit an increased amount of the vehicle environment data from the vehicle to the server is generated. When determined to be operated in the efficiency mode, a control command for instructing the vehicle to store the vehicle environment data and to selectively transmit the vehicle environment data based on at least two different data transmission standards is generated.

Abstract: The present disclosure relates to a vehicle having a communication device configured to communicate with an external server through a plurality of channels, and a vehicle control device configured to control the communication device to receive a safety-related message from the external server. The plurality of channels includes a first channel that is allocated to transmit and receive the safety-related message, and the vehicle control device is configured to control the communication device to receive the safety-related message from the external server through a second channel that is different from the first channel.

Abstract: The present application discloses an abnormal data collecting method for automatic parking, an apparatus, a storage medium and a product, and relates to automatic driving technology and automatic parking technology in computer technology. A specific implementation i: in response to monitoring that a target vehicle generates a fault code during an automatic parking process, matching the fault code with at least one pre-configured fault code to be collected; in response to determining that the fault code matches the fault code to be collected, determining a data collecting strategy corresponding to the fault code to be collected; and performing a data collecting operation on abnormal data corresponding to the fault code according to the data collecting strategy.

Abstract: A node is provided for capturing information about moving objects at an intersection. The node includes a plurality of first cameras that are positioned to capture first digital images of an intersection from different fields of view and a second camera positioned to capture second digital images in a field of view that is wider than that of each first camera. The node includes a processor that detects in the first and second digital images a set of objects of interest of the intersection, determines motion of each detected object of interest in the set from consecutive images of the first digital images or the second digital images. The node generates, for each object of interest of the set, augmented perception data that includes location data in the global coordinate system and the determined motion of each object of interest in the set.

Abstract: A system for end to end prediction of lane detection uncertainty includes a sensor device of a host vehicle generating data related to a road surface and a navigation controller including a computerized processor operable to monitor an input image from the sensor device, utilize a convolutional neural network to analyze the input image and output a lane prediction and a lane uncertainty prediction, and generate a commanded navigation plot based upon the lane prediction and the lane uncertainty prediction. The convolutional neural network is initially trained using a per point association and error calculation, including associating a selected ground truth lane to a selected set of data points related to a predicted lane and then associating at least one point of the selected ground truth lane to a corresponding data point from the selected set of data points related to the predicted lane.

Abstract: A method for proposing a driving speed for a driver at the steering wheel of a vehicle comprises the following steps: estimating the maximum available grip potential at a given instant between a tyre of the vehicle and the roadway on a predetermined upcoming route; determining, among a set of predetermined driving styles, secure styles for which the grip requirement on the predetermined route remains lower than the grip potential; selecting, among said secure styles, a secure comfortable style according to a driver profile; and determining, according to said secure comfortable style and to a location of the vehicle, a basic proposed driving speed on an upcoming section of route.

Abstract: A vehicle device may execute one or more neural networks (and/or other artificial intelligence), based on input from one or more of the cameras and/or other sensors, to intelligently detect safety events in real-time. The one or more neural networks may be an ensemble neural network that includes neural networks for detecting a head and hand of a user, neural networks for detecting hand actions of the user, neural networks for detecting the head pose of the user, neural networks for predicting an occurrence of an event, and neural networks for predicting a start time and end time of the event. Further, the neural networks can be segmented into a modular neural network based on metadata. The segmentation of the neural network can define a thin layer of the modular neural network to enable independent tuning of the thin layer of the modular neural network.

Abstract: A method for controlling a steer-by-wire steering system in a motor vehicle, wherein, by means of an operator element to be actuated by an operator, a control command for actuating a steering actuator acting on at least one wheel to be steered is output, and wherein, by means of a force application element acting on the operator element and in operative connection with the steering actuator, an actuation force for the operator element is set. In the case of a disturbance of the force application element, the steering actuator is actuated so that the control command applied by the operator element is transmitted only in a damped manner to the steering actuator.

Abstract: A simulator and a method for testing a control device function of a control device of a vehicle. The vehicle includes various environmental sensors, such as radar, a camera, and a radio receiver, which serve as inputs to the control device function of the control device. A corresponding simulation utilizing a vehicle model sensor models, and an environmental model is executed in a distributed fashion via a plurality of computing units and a memory of a simulator. The simulation utilizing the vehicle model, the sensor models, and the environmental model provides inputs to the control device function. Moreover, the simulation utilizing these models is started synchronously on the computing units, wherein data exchange occurs amongst the memory and the multiple computing units.

Abstract: An ACC function for performing constant speed cruise according to a target speed when there is no preceding other vehicle in a vehicle's driving lane and performing following cruise by maintaining a predetermined inter-vehicle distance when there is a preceding other vehicle, an LKA function for maintaining cruise, an override function for stopping the ACC function and the LKA function by a driver's operation intervention, and a fallback function for performing fallback control of the ACC function and/or the LKA function, with notifying the driver of stopping the ACC function and/or the LKA function and operation takeover, at a time of system operational design domain deviation of the ACC function and/or the LKA function, override threshold values of the functions serving as a determination criterion of the operation intervention for stopping the ACC function and/or the LKA function at the time of system operational design domain deviation are configured to be altered to a value greater than during normal ope

Abstract: A method of selecting a route for a user is provided. The method includes presenting a map on a display; receiving a start location; retrieving a plurality of routes wherein the plurality of routes include a start location, an end location, and a distance; displaying the plurality of routes including the start location, the end location and the distance; receiving a plurality of routing criteria; receiving a user generated instruction to generate at least one new proposed route based on the start location and the plurality of routing criteria; displaying the at least one new proposed route on the map including the distance of the at least one new proposed route; receiving route iteration instructions via user input; displaying the additional new proposed route on the map; and receiving route storage instructions via user input, wherein the route storage instructions result in storage of the additional new proposed route.

Abstract: A trailer reversing assist system for controlling reversing operations of a vehicle and trailer connected to the vehicle includes a module that detects an angle of the trailer relative to the vehicle, and outputs a trailer angle signal corresponding to the detected angle. The system also includes a human machine interface (HMI) device that provides an output signal based upon an input of the user, where the generated output signal includes information regarding magnitude and direction of a desired change to the angle. The system calculates a trailer trajectory that positions the trailer at a target location or calculates a trailer trajectory correction, wherein the calculation is performed using the output signal as corresponding to a change relative to the detected angle, and the detected angle corresponds to the trailer angle signal generated at the time of operation of the HMI device by the user.

Abstract: A driverless vehicle may include a processor, a sensor, a network interface, and a memory having stored thereon processor-executable instructions. The driverless vehicle may be configured to obtain a stream of sensor signals including sensor data related to operation of the driverless vehicle from the sensor and/or the network interface. The driverless vehicle may be configured to determine a confidence level associated with operation of the driverless vehicle from the sensor data, and store the confidence level and at least a portion of the sensor data. The driverless vehicle may also be configured to transmit via the network interface a request for teleoperator assistance, and the request may include the portion of the sensor data and the confidence level.

Abstract: A method for vehicle following control based on the real-time calculation of dynamic safe following distance. A preset vehicle deceleration model with three preset behavior adjustment parameters is used to obtain the absolute braking distance models of the leading and following vehicles, then to further establish the dynamic safe following distance model for calculating the dynamic safe following distance between the following vehicle and the leading vehicle in real time. In the process of vehicle following operation, the current dynamic safe following distance is compared with the current actual following distance to determine whether to adjust the following behavior of the following vehicle and how to control the following vehicle to move in safety, efficiency and smoothness.

Abstract: A method, a computer program, an apparatus, a transportation vehicle, and a network component for controlling a maneuver within a platoon of transportation vehicles. The method for controlling a maneuver within a platoon of transportation vehicles includes receiving information related to a maneuver for the platoon, determining a reference point for the maneuver within the platoon based on one or more maneuver criteria, and providing information related to the reference point within the platoon.

Abstract: A method for operating a motor vehicle driver assistance apparatus, includes: capturing sensor data of a surrounding area of the motor vehicle in which at least one target vehicle is situated, the target vehicle being in front of and in the same lane as the motor vehicle; capturing at least one driver characteristic describing a driver of the motor vehicle; assigning the driver to a predetermined driver class based on the driver characteristic; reading in driver-class-specific overtaking information, describing an overtaking tendency of the driver, based on the driver class associated with the overtaking information; outputting a control signal of the driver assistance apparatus, which rates an overtaking maneuver of the motor vehicle in regard to the target vehicle, from a plurality of reference control signals having associated overtaking information based on the overtaking information and the sensor data; and outputting the control signal by the driver assistance apparatus.

Abstract: The server includes an infrastructure cooperation section determination unit that determines an infrastructure cooperation section indicating a range in which an in-vehicle device performs a cooperative operation with an infrastructure sensor and performs traveling support of the host vehicle, and transmits cooperative operation information for the in-vehicle device to start or stop the cooperative operation with the infrastructure sensor to the in-vehicle device based on the infrastructure cooperation section determined by the infrastructure cooperation section determination unit. The in-vehicle device sets or cancels the cooperative operation mode by the mode setting unit based on the cooperative operation information transmitted from the server.

Abstract: Force-detecting sensors are installed in a motorcycle's handlebars, footpegs and seat to detect the rider's grip, weight and weight distribution. A control unit interprets the signals from the sensors to determine an attribute of the rider or an intention of the rider to make a manoeuvre. Signals from environmental sensors are used by the control unit to determine whether the intended manoeuvre would endanger the rider, and, if so, the rider is alerted before the manoeuvre is undertaken. The alert is provided before the rider notices the hazard, or before the rider reacts to the hazard. By giving advance warning, of as little as a fraction of a second, a rider is given extra time to avert a potential accident. The control unit also controls settings of the motorcycle during a hazardous state of the motorcycle.