A system and a method automatically longitudinally guide a motor vehicle. The system is used to automatically brake the motor vehicle to a standstill on the basis of a detected infrastructure component which requires a braking of the motor vehicle to a standstill. The system includes a sensor unit which is designed to detect an infrastructure component that requires a braking of the motor vehicle to a standstill, a first determining unit which is designed to determine a standstill position on the basis of currently provided information of the sensor unit upon detecting the infrastructure component, a second determining unit which is designed to determine an adapted standstill position upon no longer detecting the infrastructure component on the basis of the determined standstill position when the infrastructure component was still detected, and a control unit which is designed to automatically initiate a braking to the standstill into the determined standstill position or the determined adapted standstill position.

Provided is a vehicle control system capable of grouping objects detected by a plurality of sensors with high accuracy in a short time. A vehicle control system 100 includes an information integration device 120 that groups first detection information and second detection information of a first sensor 111 and a second sensor 112 and outputs integrated detection information, and a vehicle control device 130 that controls a vehicle on the basis of the integrated detection information. An arithmetic device 121 of the information integration device 120 stores first time-series information of the first detection information and second time-series information of the second detection information in a storage device 122, calculates a correction parameter of the first detection information by grouping the first time-series information and the second time-series information when the first sensor 111 and the second sensor 112 detect the same object, calculates correction information obtained by correcting the first detection information using the correction parameter, and outputs the integrated detection information by instantaneous value grouping using the correction information and the second detection information.

In some implementations, a method of verifying operation of a sensor is provided. The method includes causing a sensor to obtain sensor data at a first time, wherein the sensor obtains the sensor data by emitting waves towards a detector. The method also includes determining that the detector has detected the waves at a second time. The method further includes receiving the sensor data from the sensor at a third time. The method further includes verifying operation of the sensor based on at least one of the first time, the second time, or the third time.

An information processing device for a vehicle includes an object detecting unit, an object information storage unit, and an object information management unit. The object detecting unit detects, based on an output of a sensor mounted on the vehicle, an object located around the vehicle. The object information storage unit stores, as object information, information about the object detected by the object detecting unit. The object information management unit is configured to: receive, from a travelling assistance unit that performs an assistance operation of assisting travelling of the vehicle based on the object information, related information, the related information being related to the assistance operation performed by the travelling assistance unit; determine storage priority of the object information in the object information storage unit based on the related information; and manage a storage state of the object information in the object information storage unit based on the storage priority.

Embodiments of the present application disclose a positioning method and apparatus, an autonomous driving vehicle, an electronic device and a storage medium, relating to the field of autonomous driving technologies, comprising: collecting first pose information measured by an inertial measurement unit within a preset time period, and collecting second pose information measured by a wheel tachometer within the time period; generating positioning information according to the first pose information, the second pose information and the adjacent frame images; controlling driving of the autonomous driving vehicle according to the positioning information. The positioning information is estimated by combining the first pose information and the second pose information corresponding to the inertial measurement unit and the wheel tachometer respectively. Compared with the camera, the inertial measurement unit and the wheel tachometer are not prone to be interfered by the external environment.

An inter-vehicle communication and driving assistance device performs wireless communication with other vehicles, and includes an inter-vehicle communication unit including a reception level detection unit, a position information reception unit, and an arithmetic processing unit. The arithmetic processing unit calculates inter-vehicle distances to other vehicles using latitude and longitude information of the other vehicles and the own vehicle, receives a position error radius, and acquires a reception level from the other vehicles. When a difference between the inter-vehicle distances is smaller than position error radius, a vehicle with a larger reception level is determined as a vehicle closer to the own vehicle. When the difference between the inter-vehicle distances is larger than the position error radius, a vehicle with a smaller inter-vehicle distance is determined as a vehicle closer to the own vehicle, and a distance to a leading vehicle is calculated.

Aspects of the disclosure relate to detecting unmapped drivable road surfaces. In one instance, sensor data captured by a sensor of an autonomous vehicle may be projected onto a grid having a plurality of cells. The plurality of cells may be classified by generating a label for each of the plurality of cells. Each label may identifies whether or not a corresponding cell contains a drivable surface. Ones of the plurality of cells may be clustered based on the labels to form a cluster of cells. An area of the cluster of cells may be compared to a map. Whether the area of the cluster of cells is an unmapped drivable road surface may be determined based on the comparison.

A method for driving a motor vehicle in an at least semiautomated manner. The method includes: receiving surrounding-area signals, which represent a first region of a surrounding area of the motor vehicle monitored with the aid of a surround-sensor system of the motor vehicle; receiving information signals, which represent information that is ascertained outside of the motor vehicle and is in regard to a second region of the surrounding area of the motor vehicle; generating and outputting control signals for controlling the lateral and/or longitudinal guidance of the motor vehicle on the basis of the surrounding-area signals and the information signals, in order to drive the motor vehicle in an at least semiautomated manner on the basis of the first region and the second region of the surrounding area of the motor vehicle. A device, a computer program, and a machine-readable storage medium, are also described.

Localization error handling using output is described. A computing system associated with a vehicle can receive sensor data from a sensor associated with vehicle. The computing system can determine, based at least partly on the sensor data, a first instruction for controlling the vehicle during a first period of time and a difference in pose information associated with a pose of the vehicle. Based at least partly on determining the difference, the computing system can retrieve a second instruction for controlling the vehicle during a second period of time prior to the first period of time and, based at least partly on comparing the first instruction and the second instruction, the computing system can determine whether the vehicle is to follow the first instruction or perform an alternate operation.

A method, apparatus and computer program product for determining a rain event warning are described herein. In the context of a method, an indication of the rain event warning for one or more locations may be received. The method may obtain, for a respective rain event warning, sensor data corresponding to a weather condition within a region that includes the location with which the respective rain event warning is associated. The method may evaluate the sensor data to determine whether the sensor data is indicative of the weather condition (e.g., rain). The method may determine a rain event warning confidence based at least in part on evaluation of the sensor data. The method may cause the rain event warning to be published in an instance in which the rain event warning confidence satisfies a confidence threshold.