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.

Examples disclosed herein provide mechanisms for controlling a sensor in a multiple System on Chip (SoC) environment that allows one of the multiple System on Chips to be selected as a host System on Chip. The host System on Chip may lock the sensor to apply setting updates only from the host System on Chip that has locked the sensor. This lock may be broadcast to all sensors over an embedded data channel sent to all System on Chips receiving the sensor data. In addition, a safety monitor may be included to detect if the host System on Chip is functioning properly so that another System on Chip may be selected as a new host System on Chip.

An embodiment of the present disclosure is, as a multi-purpose autonomous vehicle control apparatus for controlling an autonomous vehicle having a receiving space and an external display and for providing a shuttling operation for driving along a predetermined route, the multi-purpose autonomous vehicle control apparatus including a communicator for receiving a vehicle operation request signal, and a controller for generating a mode designation signal for designating a vehicle operation mode corresponding to the vehicle use purpose, and the communicator transmits the mode designation signal to the autonomous vehicle. At least one among an autonomous driving vehicle, a user terminal, and a server according to embodiments of the present disclosure may be associated or integrated with an artificial intelligence module, a drone (unmanned aerial vehicle (UAV)), a robot, an augmented reality (AR) device, a virtual reality (VR) device, a 5G service related device, and the like.

A system includes: a transmission device provided on a vehicle, for transmitting a signal including a vehicle ID within an area set in advance; a receiving means for receiving the signal; an external control means provided on the vehicle, for receiving a command including an authentication key for a usage right, and for performing vehicle state control including at least unlocking/locking a door of the vehicle from outside a control system inherent in the vehicle; a communication connection means for establishing a communication link to send the command from a user terminal to the external control means; and a management server located on a communication network, for linking and managing the vehicle ID with a status of the usage right.

A system for controlling autonomously-controllable vehicle functions of an autonomous vehicle cooperating with partner subjects includes a database device with information on communication signals from partner subjects, action objectives, and scenarios, and has an autonomous vehicle with autonomously controllable vehicle functions communicatively connected to the database device. The autonomous vehicle includes a control device with a programmable unit and a surround sensor device. The control device receives sensor signals acquired by the surround sensor device of a surrounding area of the vehicle and communication signals originating from at least one partner subject. The control device determines a situation context based on the database information, and converts the captured communication signals into control signals for the autonomously controllable vehicle functions based on the situation context.

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 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.

A drive control system of a vehicle includes a vehicle speed module configured to determine whether the vehicle is moving and set a state of a signal based on the determination. A shift control module is configured to shift a transmission of the vehicle based on a signal from a range selector. Independently of the signal from the range selector, the shift control module is configured to selectively shift the transmission of the vehicle based on a signal from a combination park and ignition switch and the signal from the vehicle speed module. An ignition control module is configured to selectively shut down an engine of the vehicle based on the signal from the combination park and ignition switch and the signal from the vehicle speed module.

Provided is an intelligent vehicle safety driving envelope reconstruction method on the basis of integrated spatial and dynamic characteristics. Starting from simulating an actual driver's estimation of potential collision risks in the forward driving area, a prediction result of a front vehicle driving behavior is introduced to an environment perception link of the intelligent vehicle; on the basis of the prediction result of the front vehicle driving behavior, a safety driving envelope of the intelligent vehicle is reconstructed by integrating spatial and dynamic characteristics (a safety environment envelope reconstruction and a stable control envelope reconstruction), so as to improve the safety and stability of intelligent vehicle. First, based on the prediction of the front vehicle driving behavior, a lateral and a longitudinal distance between the intelligent vehicle and the front vehicle are corrected, to realize the envelop reconstruction of the safety environment of the intelligent vehicle and to improve the safety of intelligent vehicle. Then, on the basis of the reconstructed safety environment envelope and an dynamical model of the intelligent vehicle, the stable control envelope of the intelligent vehicle is reconstructed, so as to improve the stability of the intelligent vehicle.

A system and method of detecting and migrating a rogue user application to avoid interfering with a functional safety application. The method including allocating a first portion of system resources of a VSM system to a functional safety application executing on a processing device of the VSM system. The method includes allocating a second portion of the system resources to a user application executing on the processing device of the VSM system. The method includes detecting an interference event associated with the first portion of the system resources and the second portion of the system resources that degrades a performance of the functional safety application. The method includes migrating the user application to a container image including an isolated portion of the system resources to prevent the interference event associated with the first portion of the system resources and the second portion of the system resources.