A driver assistance system for motor vehicles, including at least one sensor for detecting object properties of objects which are located in the surroundings of the motor vehicle; a first interface; an output unit for transmitting the object properties to a user; and a control unit. The sensor transmits the object properties in a form of a first signal to the first interface. The first interface transmits the object properties, received in the form of the first signal, to the control unit in the form of a second signal, the control unit being configured to forward the object properties, received in the form of a second signal, to the output unit and to control the output of the object properties by the output unit.

Methods and systems are disclosed for cross-validating a second sensor with a first sensor. Cross-validating the second sensor may include obtaining sensor readings from the first sensor and comparing the sensor readings from the first sensor with sensor readings obtained from the second sensor. In particular, the comparison of the sensor readings may include comparing state information about a vehicle detected by the first sensor and the second sensor. In addition, comparing the sensor readings may include obtaining a first image from the first sensor, obtaining a second image from the second sensor, and then comparing various characteristics of the images. One characteristic that may be compared are object labels applied to the vehicle detected by the first and second sensor. The first and second sensors may be different types of sensors.

The invention relates to a control System (2) for a motor vehicle (1), comprising a central vehicle Controller (3) for Controlling vehicle functions (4) and a plurality of driver assistance Systems (5). The driver assistance Systems (5) are set up to transmit a task key describing the particular assistance function thereof to the vehicle Controller (3) and to transmit a security key assigned to the particular assistance function to the vehicle Controller (3). The central vehicle Controller (3) is set up to identify a particular task of the driver assistance Systems (5) on the basis of the transmitted task keys, to carry out a security check by virtue of the vehicle Controller (3) checking, on the basis of the security keys transmitted in each case for the respectively identified tasks, whether the particular security key complies with at least one security level assigned to the particular task, and, if the security check was successful, to control the vehicle functions (4) according to respective control commands transmitted by the driver assistance System (5) in Order to perform the respective assistance functions. The invention also comprises a method for operating such a control System (2) and a motor vehicle (1) having such a control System (2).

A vehicle control system includes a plurality of driving assistance devices configured to sequentially send request signals including requests to an actuator in the vehicle and identifiers of the driving assistance devices to an in-vehicle network, a movement manager device configured to acquire the request signals from the in-vehicle network, select one of the identifiers respectively included in the acquired request signals based on a predetermined rule, and sequentially send a control signal including at least the selected identifier to the in-vehicle network, and an actuator control device configured to sequentially acquire the request signal and the control signal from the in-vehicle network, when the control signal is acquired, select a latest request signal including the identifier included in the acquired latest control signal among the acquired request signals, and decide a control value of the actuator based on the request included in the selected request signal.

A system for determining vehicle direction includes an active wheel speed sensor (aWSS), an exciter ring for inducing a change in a signal from the aWSS and a controller. The controller receives a first series of signals from the aWSS, compares them to an array of predefined signals and determines the direction of travel based on the first series of signals matching the array. The controller receives a second series of signals and determines the exciter ring has an anomaly in response to at least one signal in the second series of signals having a first variance. The controller updates the array of predefined signals to include a representation of the first variance to create an array of updated signals. The controller determines the direction of travel based on a subsequent series of signals matching one of the array of predefined signals and the array of updated signals.

A method and system for multi-object tracking is set forth. Object data for boundaries of a plurality of objects are received. Poisson multi-Bernoulli mixture filtering is performed on the object data to form a filtered set of object data. Ultimately, the filtered set of object data is used to control the operation of the vehicle. Identifiers and probabilities are associated with the objects to reduce the set of object data.

A control method for an autonomous driving vehicle is provided. The method includes: obtaining perception information of road conditions around a vehicle; determining a first control decision based on the perception information and autonomous driving decision logic; controlling the vehicle to perform autonomous driving according to the first control decision; determining, in response to detecting an assisted driving instruction, a second control decision that is different from the first control decision based on the perception information, the autonomous driving decision logic, and the assisted driving instruction; and controlling the vehicle to perform autonomous driving according to the second control decision.

The present disclosure provides a vehicle travel control method and apparatus. A specific implementation lies in: acquiring a distance between a vehicle and a first intersection, where the first intersection is an intersection for the vehicle to go across on a first road which the vehicle is currently on; acquiring, on a determination that the distance is less than or equal to a preset distance, intersection information of the first intersection and travelling information of the vehicle, where the intersection information includes lane information of at least two lanes on the first road; determining, according to the intersection information and the travelling information, a target weight of each of the lanes for the vehicle to travel into; and determining, according to the target weight of each of the lanes for the vehicle to travel into, an intended travel route of the vehicle.

An autonomous driving apparatus, which is used in a subject vehicle capable of performing an autonomous driving, is configured to: determine a deviation value of each of one or more candidate routes, which indicates a possibility of the subject vehicle deviating from a traveling rule when the subject vehicle travels the corresponding candidate route, based on a comparison result between an inter-vehicle distance and a minimum control permission distance; select one candidate route having the deviation value within a control permission range as a target route; output an instruction for controlling the subject vehicle to travel along the selected target route; execute a traveling control of the subject vehicle according to the instruction; and update a determination rule of the deviation value in response to a change in a sensor that detects a behavior of at least one of the subject vehicle or the peripheral vehicle.

Embodiments provide extracting information respectively corresponding to predetermined dimensions from environment information corresponding to an unmanned driving environment. In some embodiments, the information respectively corresponding to the dimensions is input into an identification model to obtain a driving feature. Then a risk value representing a driving risk degree of an unmanned device is determined, and a maximum variation of the information corresponding to at least one dimension is determined when a variation of the driving feature is less than a predetermined threshold. A maximum variation of the information corresponding to each dimension is used as a risk contribution feature. A variation representative value of the information corresponding to each dimension is determined from the risk contribution feature. According to the variation representative values of the dimensions, a driving risk factor corresponding to the risk value is determined based on the driving feature.