A system, method, and computer-readable medium having instructions stored thereon to enable an ego vehicle having an autonomous driving function to estimate and traverse a curved segment of highway utilizing radar sensor data. The radar sensor data may comprise stationary reflections and moving reflections. The ego vehicle may utilize other data, such as global positioning system data, for the estimation and traversal. The estimation of the curvature may be refined based upon a lookup table or a deep neural network.

A system for recording event data of an autonomous vehicle is disclosed. The present disclosure suggests an EDR system operation scheme suitable for properly investigating the cause of a vehicle accident. Subsystems of an autonomous driving control system may determine whether an event satisfying a preconfigured condition has occurred, and send to an EDR system a trigger signal to trigger recording of data elements related to the event when the occurrence of the event is detected. The EDR system may record data elements that are useful to reconstruct a map of an external environment surrounding an autonomous vehicle at the time of the occurrence of the event or to reconstruct an internal environment of the vehicle.

The present invention relates to a method for determining the current angle of lateral inclination (a) of a roadway by means of a vehicle, at least comprising the steps of: a) determining the current radius of curvature (K) of the roadway; b) measuring the current velocities v(1,2) of at least two different wheels of the vehicle, one of the wheels with the velocity v(1) lying closer to the current curve center point of the roadway; c) calculating the current radius of lateral inclination (Q) of the roadway using the current wheel velocity v(1), the wheel distance (d) and the difference between the wheel velocities measured in method step b); d) calculating the current angle of inclination (a) of the vehicle on the roadway using the quotient of the radius of curvature (K) determined in method step a) and the current radius of lateral inclination (Q) calculated in method step c). The present invention further relates to the use of the method to monitor and/or control a vehicle, to a driver assistance system designed to carry out the method according to the invention, and to a vehicle having such a driver assistance system.

This application provides an in-vehicle user positioning method, an in-vehicle interaction method, a vehicle-mounted apparatus, and a vehicle. In an example, the in-vehicle user positioning method includes: obtaining a sound signal collected by an in-vehicle microphone; in response to that a first voice command is recognized from the sound signal, determining a first user who sends the first voice command; and determining an in-vehicle location of the first user based on a mapping relationship between an in-vehicle user and an in-vehicle location.

The present invention is to obtain a control device and a control method capable of appropriately assisting driving of a straddle-type vehicle by a rider.

In a control device (12) and a control method of the present invention, an acquisition section of the control device (12) configured to control an operation of a straddle-type vehicle (10) acquires prediction information about a future lane change by a preceding vehicle that travels ahead of the straddle-type vehicle (10), and a control section of the control device (12) causes the straddle-type vehicle (10) to execute a safety operation (for example, causes a notification device (15) to issue a warning of the lane change to the rider), when the prediction information satisfies a determination criterion during a slipping-through traveling of the straddle-type vehicle (10).

The invention relates to a parking assistance system for an ego vehicle (1), comprising a control device (2) for controlling a parking procedure, in which the ego vehicle (1) is guided to a target position within a parking space (10), the control device (2) can access sensors for environment detection and, on the basis of the sensor data, can determine a parking space (10) by identifying objects (10a, 11, 12, 13) surrounding the parking space (10), wherein the control device (2) is designed to specify a first minimum distance and a second minimum distance of the ego vehicle (1) from surrounding objects (10a, 11, 12, 13), the control device (2) is furthermore designed to specify, on the basis of the first minimum distance, a first parking region (14) and, on the basis of the second minimum distance, a second parking region (15), and the control device (2) determines the target position by specifying said position within the first and/or the second parking region (14, 15).

A driver assistance method and a driver assistance apparatus are provided, which may be applied to the field of autonomous driving or intelligent driving. The driver assistance method includes: determining that a driver is in an abnormal state; determining that a first operation performed by the driver on a first terminal is an abnormal operation; and performing first processing, where the first processing includes outputting indication information and/or control information, and the indication information or the control information indicates a second operation performed on the first terminal, or the first processing includes controlling the first terminal to perform the second operation.

Included are: an information acquiring unit to acquire information; a periphery recognizing unit to acquire peripheral environment information regarding a state of a peripheral environment based on the information acquired by the information acquiring unit and a first machine learning model and to acquire calculation process information indicating a calculation process when the peripheral environment information has been acquired; an explanatory information generating unit to generate explanatory information indicating information having a large influence on the peripheral environment information in the calculation process among the information acquired by the information acquiring unit based on the calculation process information acquired by the periphery recognizing unit; and an evaluation information generating unit to generate evaluation information indicating adequacy of the peripheral environment information acquired by the periphery recognizing unit based on the information acquired by the information acquiring unit and the explanatory information generated by the explanatory information generating unit.

Provided is an information processing device including: a first acquisition unit configured to acquire a task; a second acquisition unit configured to acquire a processing time of the task; a third acquisition unit configured to acquire a wirelessly communicable period with an external communication device; and a communication control unit configured to control, based on the processing time and the wirelessly communicable period, a wireless communication unit to transmit request information to the external communication device, the request information requesting to process at least a part of the task, in which the communication control unit is configured to control the wireless communication unit to perform direct communication with the external communication device.

Disclosed are a drunk driving prevention system and a drunk driving prevention method using the system that includes a sensor module measuring the alcohol content in exhaled breath of a driver at the time of breath-checking of the driver and a control module configured to check an intoxication state of the driver based on the alcohol content measured by the sensor module to determine whether or not a breath-checking is complete and block an engine start when the breath-checking fails, wherein the control module includes a bypass control unit switching a vehicle into a drivable state when the breath-checking fails.