The disclosure relates to a vehicle system for a vehicle, in particular a commercial vehicle, that includes an electronically controllable pneumatic braking system, and an electronically controllable steering device. The electronically controllable pneumatic braking system has a redundant control unit, which controls the brake circuits in the event of a failure of an electronic stability control of the braking system during travel. In the event of the failure of the electronic stability control during travel, the redundant control unit performs axle-wise control of the front axle with a front axle redundancy brake pressure and/or of the rear axle with a rear axle redundancy brake pressure and the electronically controllable steering device carries out laterally stabilizing steering interventions in order to keep the vehicle in a tolerance corridor of a predefined target trajectory of the vehicle. The disclosure also relates to a vehicle and a method.

The present disclosure concerns a safety system for a vehicle. The vehicle includes a tracking unit and at least one chassis sensor. The safety system may receive sensor data from the at least one chassis sensor and trusted data from the tracking unit, and then may detect an inconsistency between the sensor data and the trusted data. In response to the detection of the inconsistency, the safety system may block at least parts of the sensor data from the at least one chassis sensor.

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.

A backup control unit for controlling motion of a heavy-duty vehicle during a minimum risk maneuver, where the backup control unit is arranged to receive data indicative of a planned sequence of vehicle control commands from a main vehicle control unit. The backup control unit comprises a first vehicle model configured to map the planned sequence of vehicle control commands into a desired vehicle behavior and is arranged to obtain a measured vehicle behavior from one or more vehicle sensors. Also, the back-up control unit is arranged to determine an adjusted sequence of vehicle control commands based on the planned sequence of vehicle control commands and on a deviation between the desired vehicle behavior and the measured vehicle behavior, and to transmit the adjusted sequence of vehicle control commands to a motion support device, MSD, control unit of the vehicle.

The present invention relates to methods and systems for allocating platform resources in a vehicle for development, evaluation, and/or testing of ADS features. The method comprises storing, during a time period, sensor data indicative of a surrounding environment of the vehicle in a data storage device of the vehicle, and obtaining data indicative of a set of platform constraints of the vehicle, a set of requirements for each of a plurality of ADS features, a priority scheme for the plurality of ADS features, and a current scene or scenario in the surrounding environment of the vehicle. Furthermore, the method comprises generating, based on the platform constraints, the set of requirements, the priority scheme and the current scene or scenario, an arbitration signal indicative of a resource allocation of the platform of the vehicle to at least one of the plurality of ADS features.

Embodiments for operational envelope detection (OED) with situational assessment are disclosed. Embodiments herein relate to an operational envelope detector that is configured to receive, as inputs, information related to sensors of the system and information related to operational design domain (ODD) requirements. The OED then compares the information related to sensors of the system to the information related to the ODD requirements, and identifies whether the system is operating within its ODD or whether a remedial action is appropriate to adjust the ODD requirements based on the current sensor information. Other embodiments are described and/or claimed.

An apparatus of controlling to cope with a failure in an autonomous driving system and a method thereof are provided. The apparatus determines whether a failure in one or more applications for performing a function about autonomous driving occurs and sequentially performs step-by-step failure response control corresponding to a safety rating of the application in which the failure occurs, when the failure in the application occurs. The apparatus stably performs an autonomous driving function.

Provided are an automatic parking control method and apparatus, relating to the industrial field of vehicles. The method comprises: when a speed of a vehicle is in a preset speed range and a time that the speed of the vehicle is in the preset speed range is greater than or equal to a preset time, collecting image data and radar data around the vehicle; inputting the image data and the radar data into a preset convolutional neural network model, and outputting at least one parking slot information; selecting target parking slot information according to a received parking-in selection operation; and according to the target parking slot information, generating a vehicle parking-in track for the vehicle to automatically park according to the vehicle parking-in track.

An apparatus for controlling power of a vehicle includes a first controller that generates a control signal for controlling output of power supplied to at least one vehicle load, and a second controller that determines whether the first controller is in a normal operation status by monitoring the first controller, and controls a power switch to maintain output of the control signal to the at least one vehicle load when the first controller is not in the normal operation status.

A method for improving the availability of an energy storage or transformation, EST, system of a vehicle. The method comprises providing an EST system model of coupled EST components of the EST system, identifying a fault or error in an EST condition parameter of the EST system, estimating an output value of the EST condition parameter based on the EST system model, identifying a vehicle situation which, in case of an at least temporary lack of operability of the EST system, belong to a predetermined group of vehicle situations defined as hazardous, and in response to identifying the vehicle situation belonging to the predetermined group of vehicle situations defined as hazardous, operating the EST system despite the fault or error in the EST condition parameter using the estimated output value of the EST condition parameter based on the EST system model.