A control device includes a controller configured to perform a notification whether automatic driving of a vehicle is able to be started, in a different mode according to at least either of a first state where the automatic driving is able to be permitted, a second state where the automatic driving is unable to be permitted due to an equipment abnormality, or a third state where the automatic driving is unable to be permitted for a temporary reason without an equipment abnormality.

The present disclosure relates to a system and a method for addressing an error in a localization system that includes monitoring a plurality of sensors of a driver assistance system in real-time, with each sensor generating a data stream. The method further includes identifying a sensor having an anomalous data stream and calculating a primary localization and a backup localization. The primary localization calculation includes the anomalous data stream and the backup localization calculation does not include the anomalous data stream. Further, the method includes executing an action when the backup localization error estimate exceeds a threshold.

An autonomous vehicle mode regulator system and method comprise transmitting authorization signals from autonomous driving infrastructure on a roadway to a controller module to authorize or inhibit operation of a vehicle in different levels of automation. The controller module controls the level of automation under which the autonomous driving system of the vehicle operates based on the signals received from the autonomous driving infrastructure. In this regard, the controller module can prevent the autonomous driving system of the vehicle from operating in certain levels of automation unless appropriate authorizations signals are received. Similarly, the controller module can permit or even require operation of the vehicle in certain levels of automation upon receipt of certain authorization signals. Still further, the controller module can inhibit or disengage operation of a vehicle in certain levels of automation upon receipt of signals from autonomous driving infrastructure associated with certain driving hazards on the roadway.

Provided are a safety control system and method for an autonomous vehicle. The safety control system includes a sensor installed in a vehicle and including at least a camera and a light detection and ranging (LiDAR), a main domain control unit (DCU) configured to control autonomous driving from an origin to a destination on the basis of various kinds of information transferred through communication with the sensor, and a redundancy DCU configured to ensure safety of the vehicle by performing a safety function when an event occurs in the autonomous driving due to a fault of the main DCU. According to this configuration, the main DCU and the redundancy DCU are provided, and thus it is possible to simultaneously ensure a fully autonomous driving function and a system safety control function.

An information processing device includes: a processor; and a memory including at least one set of instructions that, when executed by the processor, causes the processor to perform operations. The operations include: obtaining incident information about an incident of a cyberattack that occurred in a vehicle; obtaining first vehicle information about a state of a first vehicle; storing, in the memory, the incident information and the first vehicle information; determining a risk level of a vehicle function of the first vehicle, based on a degree of matching between the incident information and the first vehicle information stored in the memory, the vehicle function of the first vehicle being one among one or more vehicle functions of the first vehicle; generating a function restriction command for restricting the vehicle function, when the risk level is higher than a first criterion; and outputting the function restriction command.

An autonomous driving control apparatus requests information associated with a plurality of parts of an autonomous vehicle from an external electronic device and calculates a fault rate for each of the plurality of parts using the information associated with the plurality of parts. The apparatus identifies that a first fault rate corresponding to a first part among the calculated fault rates is greater than or equal to a specified first value and calculates a first failure rate at which the first part causes a failure of the autonomous vehicle using the first fault rate. The apparatus stores the first fault rate and information associated with the first part in storage and stops performing a function associated with the first part or stops performing the entire autonomous driving function of the autonomous vehicle after a fault or a failure of the autonomous vehicle occurs.

Described herein are systems, methods, and non-transitory computer-readable media for implementing automated vehicle safety response measures to ensure continued safe automated vehicle operation for a limited period of time after a vehicle component or vehicle system that supports an automated vehicle driving function fails. When a critical vehicle component/system such as a vehicle computing platform fails, the vehicle is likely no longer capable of performing calculations required to safely operate and navigate the vehicle in an autonomous manner, or at a minimum, is no longer able to ensure the accuracy of such calculations. In such a scenario, the automated vehicle safety response measures disclosed herein can ensure - despite failure of the vehicle component/system -continued safe automated operation of the vehicle for a limited period of time in order to bring the vehicle to a safe stop.

Sensor data is received at a processor of a vehicle including at least one sensor, a plurality of axles, and a plurality of tires coupled to the plurality of axles. A determination is made by the processor if at least one tire from the plurality of tires is faulty based on the sensor data. A determination is made by the processor of at least one side of the vehicle and at least one axle from the set of axles associated with the at least one tire in response to the determining that the at least one tire is faulty. A determination is made by the processor of at least one remedial action to be performed by the vehicle based on the sensor data, the at least one side, and the at least one axle.

In an embodiment, a processor is configured to perform, while a vehicle is driving in an uncontrolled environment, a self-calibration routine for each sensor from the plurality of sensors to determine at least one calibration parameter value associated with that sensor. The processor is further configured to determine, while the vehicle is driving in the uncontrolled environment, and automatically in response to performing the self-calibration routine, that at least one sensor from the plurality of sensors has moved and/or is inoperative based on the at least one calibration parameter value associated with the at least one sensor being outside a predetermined acceptable range. The processor is further configured to perform, in response to determining that at least one sensor from the plurality of sensors has moved and/or is inoperative, at least one remedial action at the vehicle while the vehicle is driving in the uncontrolled environment.

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.