Systems, methods, and other embodiments described herein relate to providing cooperative control according to system conditions of a vehicle. In one embodiment, a method includes determining a system condition associated with operation of functions associated with an assistance system within an ego vehicle. The system condition is based, at least in part, on environmental conditions around the ego vehicle. The method includes defining available modes according to which control modes of the ego vehicle can operate with the system condition. The method includes controlling the ego vehicle according to a selected mode of the available modes.

A device and method for safety stoppage of an autonomous road vehicle having a localization system and sensors for monitoring the vehicle surroundings and motion, and a signal processing system for processing sensor signals enabling an autonomous drive mode. A processor continuously predicts where a drivable space exists, calculates and stores a safe trajectory to a stop within the drivable space, determines a current traffic situation, and determines any disturbances in sensor data, vehicle systems or components enabling the autonomous drive mode. If an incapacitating disturbance is determined, a request for a driver to take control is signaled and it is determined if the driver has assumed control. If not, the vehicle is controlled to follow the most recent safe trajectory to a stop in a safe stoppage maneuver during which, or after, one or more risk mitigation actions adapted to the determined current traffic situation are performed.

A method of reconstructing a detected faulty signal. A pitch sensor fault is detected by a processor. A signal of the detected faulty pitch sensor is reconstructed using indirect sensor data. The reconstructed signal is output to a controller to maintain stability.

A method of reconstructing a detected faulty signal. A roll sensor fault is detected by a processor. A signal of the detected faulty roll sensor is reconstructed using indirect sensor data. The reconstructed signal is output to a controller to maintain stability.

A device for determining a tachometer characteristic curve of a motor vehicle includes a detection apparatus and a determining apparatus. The determining apparatus is configured to form a tachometer characteristic curve on the basis of one or more mean value pairs, which are formed by means of one locomotion signal mean value and one speed mean value, by means of which tachometer characteristic curve locomotion signals and speed values are converted into one another, and/or to change a tachometer characteristic curve which is already present.

Provided is a system configured to determine and push adjustments to vehicle operations using machine-learning systems across multiple computing layers.

A method for operating a vehicle, the vehicle being guided in fully automated fashion, and if an error is detected during the fully automated guidance, a safe state being selected from a plurality of safe states as a function of one parameter, the vehicle being guided in fully automated fashion into the selected safe state. Also described is an apparatus for operating a vehicle, as well as to a computer program.

A vehicle includes a rotary electric machine, an internal combustion engine, a temperature sensor, and a limiter. The rotary electric machine generates power to move the vehicle. The internal combustion engine is started by the rotary electric machine to generate power to move the vehicle. The temperature sensor detects temperature of the rotary electric machine or of a drive circuit for the rotary electric machine. The limiter restricts the power generated by the rotary electric machine if the temperature is higher than a first threshold temperature. The start prohibitor prohibits the rotary electric machine from starting the internal combustion engine if the temperature is higher than a second threshold temperature which is higher than the first threshold temperature.

The invention relates to a method for operating an environment-monitoring system for a motor vehicle, by means of which the positions of objects in the environment laterally adjacent to, in front of, and behind the vehicle are determined. According to the invention, in order to improve the accuracy of the environment-monitoring system, the motion path is determined for a stationary object which the vehicle passes, and said motion path is used to determine the angular deviation with which the motion path determined for the stationary object deviates from the motion path of the vehicle.

Signals are from a plurality of sources representing aspects of the vehicle and an environment surrounding the vehicle. An autonomous confidence factor is developed based on component confidence levels for at least one of the signals. Control of the vehicle is transitioned between levels of autonomous control based at least in part on the autonomous confidence factor.