The disclosure includes embodiments that provide a digital twin-based edge server switching decision. A method includes causing a sensor set of a connected vehicle to determine a current driving context of the connected vehicle. The method includes comparing the current driving context to a set of digital twin data to determine a predicted latency for using offboard computing resources of an edge server. The method includes determining that the predicted latency for using the offboard computing resources satisfies a threshold for the predicted latency. The method includes executing a switching decision that includes deciding to use the offboard computing resources of the edge server based on the comparing of the current driving context to the set of digital twin data and the determining that the threshold for the predicted latency is satisfied.

Method and apparatus are disclosed for mitigating issues for a vehicle executing a remote vehicle operation, wherein there is a communication delay between the vehicle and a remote computing device providing control. An example vehicle includes a communication system, an autonomy unit for performing a remote vehicle operation, and a processor. The processor is configured to receive a remote vehicle operation control signal via the communication system from a remote computing device. The processor is also configured to determine a delay corresponding to the control signal. And the processor is further configured to modify the remote vehicle operation responsive to determining that the delay rises above a delay threshold at a threshold rate.

Methods and systems for monitoring use, determining risk, and pricing insurance policies for a vehicle having one or more autonomous or semi-autonomous operation features are provided. According to certain aspects, a computer-implemented method for operating an autonomous or semi-autonomous vehicle may be provided. With a vehicle owner's permission, a vehicle operator identity may be determined; and operating data regarding the autonomous or semi-autonomous vehicle may be received from one or more vehicle-mounted sensors. Based upon the received operating data, (i) autonomous operation risk levels associated with autonomous vehicle operation; and (ii) operator risk levels associated with autonomous vehicle operation by the vehicle operator may be determined. Based upon a comparison of the autonomous operation versus vehicle operator risk levels, the autonomous features may be engaged if it is safer for the vehicle to travel autonomously. Insurance discounts may be provided to risk averse vehicle owners having this safety functionality.

Methods and systems for monitoring use, determining risk, and pricing insurance policies for a vehicle having one or more autonomous or semi-autonomous operation features are provided. According to certain aspects, a computer-implemented method for communicating information regarding a smart infrastructure component to an autonomous or semi-autonomous vehicle may be provided. Sensors may be communicatively connected to an infrastructure communication device, and the infrastructure communication device may generate a message based upon information from the sensors and/or regarding the infrastructure component. The message may be transmitted, and, with the vehicle operator's permission, all or part of the determined message may be presented to the operator of the autonomous or semi-autonomous vehicle. The message may include weather, traffic, ice, or road condition or construction information and facilitate safer vehicle travel. Insurance discounts for customers may be generated based upon their vehicle being equipped with this safety and vehicle damage prevention functionality.

The present disclosure provides an automatic driving system, fault alarm method and device, the system includes a primary monitoring device, an auxiliary monitoring device, at least one device to be detected and a fault alarm device; where the primary monitoring device and the auxiliary monitoring device are respectively connected to each device to be detected and the fault alarm device; the primary monitoring device and the auxiliary monitoring device are connected, the primary monitoring device and the auxiliary monitoring device respectively perform a fault detection on the each device to be detected; and if it is detected that any device to be detected is abnormal, the primary monitoring device or the auxiliary monitoring device sends an alarm instruction to the fault alarm device, so that the fault alarm device performs an alarm operation according to the alarm instruction.

A method for supporting an attentiveness and/or driving readiness of a driver during an automated driving operation of a vehicle. The method includes computing a failure probability value using at least one read-in map information signal, environmental condition signal, and/or probability signal. The failure probability value represents a failure probability of a driver assistance system for carrying out an automated driving operation. The probability signal represents an error probability and/or failure probability of at least one vehicle sensor of the driver assistance system. The method also includes determining a comparison parameter in response to the computed failure probability value, the comparison parameter representing the result of a comparison of an extent of a necessary driving requirement on the traveled travel route of the vehicle to a degree of instantaneous attentiveness of the driver. The method also includes providing an advance warning signal in response to the determined comparison parameter.

A method for operating an autonomous vehicle. The method includes the transmission of status data to a processing unit, which is independent of the autonomous vehicle, using a wireless communications link. The method furthermore includes monitoring of the function of the autonomous vehicle by the independent processing unit while taking the status data into account, and when a malfunction of the autonomous vehicle is detected, the independent processing unit determines target data for guiding the autonomous vehicle to a stopping position. The target data are transmitted to the autonomous vehicle, and the autonomous vehicle is guided to the stopping position with the aid of the target data. A position of the autonomous vehicle is determined using signals from the wireless communications link and is taken into account when determining the target data.

A vehicle control apparatus including an operation detector detecting driving instruction, a direction detector detecting actual traveling direction of the vehicle, and a microprocessor. The microprocessor is configured to perform: determining whether a deviation of the actual traveling direction from target traveling direction according to the driving instruction is greater than or equal to predetermined deviation; switching to the self-drive mode when the deviation is greater than or equal to the predetermined deviation during traveling in the manual drive mode; and controlling the actuator in accordance with the driving instruction, the controlling including controlling the actuator so as to match the actual traveling direction with the target traveling direction after switching to the self-drive mode, and the switching including switching to the manual drive mode when the actual traveling direction is matched with the target traveling direction after switching to the self-drive mode.

An apparatus and method performed by a perception comparing system of a vehicle for perception performance evaluation of an ADAS or ADS. The perception comparing system establishes communication with a secondary vehicle determined and/or estimated to be positioned within a potential range of surrounding detecting sensors on-board the vehicle. The system derives perception data from a perception system of the ADAS or ADS. The system receives secondary perception data from a secondary perception system of a secondary ADAS or ADS of the secondary vehicle and determines a discrepancy output based on comparison of at least a portion of the both of perception data and the secondary perception data. The system communicates acknowledgement data when at least a portion of the discrepancy output fulfils discrepancy exceedance criteria and/or when the vehicle is perceivable in the secondary perception data but the secondary vehicle not is locatable in the perception data.

A master control device is communicatively coupled to a first slave control device and a second slave control device via a first network and a second network, respectively. The master control device provides output data to the first slave control device based on input data received from the second slave control device. A monitoring apparatus which monitors an operation of the master control device stores determination data indicating a correspondence relationship between the input data and the output data, obtains the input data provided to the second network by the second slave control device and the output data provided to the first slave control device via the first network, and determines a presence or an absence of an anomaly in the operation of the master control device by determining whether the input data and the output data correspond to the determination data.