An electronic control device provided in a vehicle that mounts an in-vehicle system is provided. The electronic control device may detect an abnormality that occurs in the in-vehicle system. The electronic control device may detect an operation related to a lane change. The electronic control device may store a travel plan for performing an autonomous driving of the vehicle. The electronic control device may acquire at least one of a subject vehicle information item on the vehicle, a surrounding information item on a surrounding environment of the vehicle, and a driver information item on a driver.

A sensor abnormality determination device of a four-wheel drive vehicle including a drive source, main drive wheels and sub-drive wheels, a power transmitting member, a first connecting/disconnecting device, a second connecting/disconnecting device, a first sensor, and a rotation sensor, the sensor abnormality determination device comprises a first sensor abnormality determining portion determining that the first sensor is abnormal when the rotation sensor detects the rotation of the power transmitting member and it is presumed that the four-wheel drive vehicle is in the four-wheel drive state, when the first sensor detects that the first connecting/disconnecting device is in the disconnecting state, and when the rotation sensor detects the rotation of the power transmitting member after the second connecting/disconnecting device is switched to the disconnecting state.

A computer-implemented method for creating a virtual vehicle environment includes: receiving data of a real vehicle environment; generating a first feature vector representing a respective real object by applying a second machine learning algorithm to the respective real object and storing the first feature vector; providing a plurality of stored second feature vectors representing synthetically generated objects; identifying a second feature vector having a greatest degree of similarity to the first feature vector; selecting the identified second feature vector and retrieving a stored synthetic object that is associated with the second feature vector and that corresponds to the real object or procedurally generating the synthetic object that corresponds to the real object, depending on the degree of similarity of the identified second feature vector to the first feature vector; and integrating the synthetic object into a predetermined virtual vehicle environment.

In various embodiments, methods and systems are provided for processing data pertaining to a vehicle event for a vehicle. In accordance with an exemplary embodiment, vehicle sensor data is obtained from one or more vehicle sensors pertaining to the vehicle event. Also in an exemplary embodiment, an assessment of the vehicle event is determined via a processor, including as to a fault or a severity, or both associated with the vehicle event, based on the vehicle sensor data.

A fallback safety system for a vehicle equipped with a platooning system is configured to detect an operating state and a functional failure of the platooning system of the vehicle and to detect a distance of the vehicle to a vehicle driving in front with a sensor system of the vehicle. Further, in the case of a detected functional failure of the platooning system during a convoy driving operation of the vehicle controlled by the platooning system, the fallback safety system is configured to initiate braking of the vehicle and to adjust a braking acceleration of the vehicle during the initiated braking depending on the detected distance of the vehicle to the vehicle driving in front.

In various embodiments, a vehicle-to-everything (V2X) processing device detecting a misbehavior condition in a system of the vehicle, and prevent the vehicle from sending a V2X message related to the detected misbehavior condition in response to detecting the misbehavior condition in the system of the vehicle. In some embodiments, the V2X processing device may receive information from a plurality of information sources of the vehicle, and may detect the misbehavior condition in the system of the vehicle by performing a cross-check of information received from the plurality of information sources of the vehicle to detect an inconsistency within the received information.

Aspects of the disclosure provide for controlling an autonomous vehicle. For instance, a trajectory for the autonomous vehicle to traverse in order to follow a route to a destination may be generated. A first error value for a boundary of an object, a second error value for a location of the autonomous vehicle, a third error value for a predicted future location of the object may be received. An uncertainty value for the object may be determined by combining the first error value, the second error value, and the third error value. A lateral gap threshold for the object may be determined based on the uncertainty value. The autonomous vehicle may be controlled in an autonomous driving mode based on the lateral gap threshold for the object.

In various examples, an integrated circuit includes first and second portions. The first portion includes a timer that starts when the first portion transmits at least one error signal to the second portion. The timer may reset when data corresponding to at least one fault has been cleared from the first portion. The first portion transmits a timeout error signal when the timer indicates at least a predetermined amount of time has elapsed. The second portion receives the at least one error signal and the timeout error signal when the timeout error signal has been sent. The second portion may notify an external system after the timeout error signal is received.

An automatic processing system, a system on chip and a method for monitoring a processing module are described herein. The automatic driving processing system comprises: an automatic driving processing module, configured for receiving an input data stream and processing the input data stream based on a deep learning model so as to generate a processing result; a fault detection module, configured for generating a control signal and a fault detection stimulating data stream, and receiving the processing result from the automatic driving processing module; and a multi-way selection module, configured for receiving an automatic driving data stream as well as the control signal and the fault detection stimulating data stream, and selectively outputting the automatic driving data stream or the fault detection stimulating data stream to the automatic driving processing module based on the control signal, as an input data stream.

A method for transmitting data between a trailer and a road user in a vehicle environment is provided, wherein the data are transmitted according to a V2X standard with low latency via a wireless V2X data connection between a trailer communication module of the trailer and a subscriber communication module of the road user. The wireless data connection is between the trailer communication module and the subscriber communication module, or indirectly via a distribution station. The distribution station forwards the transmitted data directly, wherein the trailer communication module autonomously selects and activates an operating mode depending on the respective road user. As a function of the activated operating mode; trailer data relating to the trailer are selected and autonomously transmitted according to the V2X standard via the wireless V2X data connection and/or subscriber data provided by road users are received and autonomously processed.