Apparatuses, storage media and methods associated with computer assisted driving (CAD), are disclosed herein. In some embodiments, an apparatus includes an autopilot engine to automatically pilot the vehicle out of a potential emergency situation, including to automatically pilot the vehicle for a period of time in view of a plurality of operational guardrails determined in real time for each of a plurality of timing windows; and a mitigation unit to conditionally activate the autopilot engine, including to activate the autopilot engine in response to analysis results indicative of the vehicle being potentially operated into the emergency situation manually. Other embodiments are also described and claimed.

The present disclosure provides a hybrid decision-making method for autonomous driving, including the following steps: acquiring real-time traffic environment information of an autonomous vehicle during the running at a current moment; establishing a local decision-making model for autonomous driving based on the traffic environment information; based on the local decision-making model for autonomous driving, learning, by using a method based on deep reinforcement learning, a driving behavior of the autonomous vehicle, and extracting driving rules; sharing the driving rules; augmenting an existing expert system knowledge base; and determining whether there is an emergency: if yes, making a decision by using a machine learning model; and if not, adjusting the machine learning model based on the augmented existing expert system knowledge base, and making a decision by the machine learning model. The decision-making method uses two existing policies to complement each other to overcome the shortcomings of a single policy, thereby making decisions effectively for different driving scenarios.

A method and an apparatus for controlling an autonomous driving vehicle are provided. The method includes: receiving environment information sent by an autonomous driving vehicle, the environment information including vehicle exterior environment information; determining whether the autonomous driving vehicle is in an abnormal operation status, based on the vehicle exterior environment information and operation information of an operation executed by the autonomous driving vehicle; and sending a braking control instruction and a data acquisition instruction to the autonomous driving vehicle, in response to determining that the autonomous driving vehicle is in the abnormal operation status, the braking control instruction being used for controlling braking of the autonomous driving vehicle, and the data acquisition instruction being used for acquiring data of a driving recorder in the autonomous driving vehicle.

The present teaching relates to method, system, and medium, for operating a vehicle. The method includes the steps of receiving Real-time data related to the vehicle are received. A current mode of operation of the vehicle is determined. A first risk associated with the current mode of operation of the vehicle is evaluated based on the real-time data in accordance with a risk model. If the first risk satisfies a first criterion, a second risk associated with switching the current mode to a different mode of operation of the vehicle is determined. The vehicle is switched from the current mode to the different mode if the second risk satisfies a second criterion.

A mobile work machine includes a frame; ground engaging elements movably supported by the frame and driven by a power source to drive movement of the machine; a moveable element movably supported by the frame to move relative to the frame; an actuator coupled to the moveable element to controllably drive movement of the moveable element; a control system that generates an actuator control signal, indicative of a commanded movement of the actuator, and provides the actuator control signal to the actuator to control the actuator to perform the commanded movement; a terrain identifier configured to identify a characteristic of terrain in a geographic area around the machine; and a stability system that determines whether the commanded movement will result in an unstable state of the machine based on the characteristic of the terrain and, if so, generates a restriction signal, restricting the commanded movement to avoid the unstable state.

The invention relates to a method for the dynamic, context-based distribution of program codes in a control system of a vehicle. The control system has a plurality of control apparatuses for executing the program codes. The program codes are assigned to the corresponding control apparatuses of the control system by a global placement graph. In doing so, the global placement graph is calculated in a computing unit that is located outside of the control system. The data of the global placement graph are transmitted to the control system. It is provided for the global placement graph to be calculated based on the current configuration as well as known reconfigurations, wherein the selection of the next node of the global placement graph to be calculated is calculated using the probability of occurrence of an error as well as the effect of the error.

A vehicle control apparatus including circuitry configured to set a driving performance request in the given environments; determine whether driving performance of each of plural driving functions of a driver satisfies the driving performance request; and identify the driver's driving function that does not satisfy the driving performance request. On condition that an insufficient function is identified or the driving performance request is not satisfied, to realize the driving performance request, the circuitry is configured to perform at least one of controlling the vehicle such that the vehicle performs the identified insufficient function instead and providing the driver with an appropriate information so that the identified insufficient function close to a level of the driving performance request.

A vehicle control apparatus operates in various modes, e.g., a normal mode in which plural travel functions of a vehicle are controlled by plural driving functions of a driver; an automatic mode in which all driving functions are performed by the vehicle; an optimization mode in which, when a temporary reduction of driving performance of any of the plural driving functions of the driver is detected, physical stimulation and/or information that makes the driver recognize the temporary reduction of the driving performance is provided to the driver; and an assistance mode in which, when a chronic reduction of the driving performance of any of the plural driving functions of the driver is detected, information on assistance with execution of the driving performance is provided to the driver.

A vehicle control apparatus includes a circuitry capable of controlling a vehicle. The circuitry is configured to estimate a traffic risk score, a travel risk score, and a driving ability score. The circuitry is configured to change a first threshold, with which automated vehicle attitude stability control is initiated, so as to promptly execute the automated vehicle attitude stability control when a travel risk is not avoided by the driving ability, change a second threshold, with which automatic entry avoidance control is initiated, so as to promptly execute the automatic entry avoidance control when the traffic risk is not avoided by the driving ability, and control the vehicle to travel on a target travel route when the traffic risk and the travel risk are not avoided by the driving ability or when the driving ability is lower than a specified level.

The disclosure generally pertains to systems and methods to repossess a vehicle. In an example method, a first computer sends to a second computer, a message pertaining to a notice of delinquency of a vehicle-related payment. The message includes a request to an individual, such as a purchaser or a lessee of the vehicle, to acknowledge receipt of the message. The first computer may be associated with a financing agency (a bank or a lender) and the second computer may be a vehicle computer of the vehicle or a smartphone owned by the individual. When an acknowledgement is not received within a reasonable period of time, the first computer may disable a functionality of a component of the vehicle or may place the vehicle in a lockout condition. The lockout condition may be lifted momentarily in case of an emergency to allow the vehicle to travel to a medical facility.