An autonomous driving control system, comprising a main control system and a backup control system. The main control system comprises a main control module and main execution modules, and the backup control system comprises a backup control module and backup execution modules; the main control module monitors an operating status of the main control system in real time; the main control module further sends, when detecting that a failure occurs in the main control system, a failure notification to the backup control module, and sends a response termination control instruction to each of the main execution modules, the response termination control instruction being a control instruction for instructing each of the main execution modules not to respond to any control over a vehicle; and the backup control module controls, after receiving the failure notification, the backup execution modules to start to execute a backup control instruction.

When there is an abnormality in communications between a motor ECU and an HVECU in an automobile, the motor ECU controls a motor such that creep torque or a given torque larger than the creep torque is delivered from the motor. Thus, when there is an abnormality in communications between the HVECU and the motor ECU, the automobile is able to run in a limp home mode.

A method for monitoring a drive-by-wire system of a motor vehicle, including: temporally offset reading in of at least two input values of an input quantity of an operating element of the motor vehicle; ascertaining a change over time or rate of change over time of the input quantity from the at least two read-in input values; determination of a monitored quantity for the motor vehicle operation from the change over time or rate of change over time; selection of a monitoring function on the basis of the monitored quantity; monitoring of the monitored quantity for the ascertained motor vehicle operation by the monitoring function.

Aspects of the disclosure relate to controlling a vehicle having an autonomous driving mode. This may include receiving, by one or more processors of the vehicle, first information identifying a current relative humidity measurement within a sensor housing of a vehicle having an autonomous driving mode. The relative humidity measurement and pre-stored environmental map information may be used by the one or more processors to estimate a condition of a sensor within the sensor housing at a future time. This estimated condition may be used by the one or more processors to control the vehicle.

The invention concerns a method for operating a brake back-up system (8) of a motor vehicle (2), with the steps: (S100) Reading in operating data (BD) of the motor vehicle (2), (S200) Evaluating the read-in operating data (BD) to identify malfunctions of a braking system of the motor vehicle (2), and (S300) Providing at least one actuation signal (AS, AS′) to influence components of a drive train of the motor vehicle (2).

The present disclosure provides a method and system for controlling a four-wheel-independent-drive (4WID) electric vehicle (EV) which incorporates the method steps of: acquiring driving environmental information of the vehicle, running state information of the vehicle and driving expectation information of a driver; tracking a body attitude; switching a condition of the vehicle according to information of an upper module; calculating an expected longitudinal torque, an expected lateral torque and an expected yaw torque of the vehicle that meet a driver's expectation; optimally distributing the torques of the vehicle; and generating armature voltage signals required by output torques of motors and controlling the motors. The method divides the driving process of the vehicle into multiple independent driving conditions. The method does not globally implement operation and control in multiple driving conditions with a single control strategy, but coordinately switches the conditions according to multiple control modes and multiple control strategies.

A method and an apparatus for obtaining information are disclosed. The method includes: determining that a first sensor in environment sensing sensors in a vehicle fails; determining a first detection area of the first sensor, where the first detection area includes a first angle range, and the first angle range is an angle range of a detection angle, of the first sensor, that covers a driving environment around the vehicle; adjusting a second detection area of a dynamic sensor in the vehicle, so that an angle range of the second detection area covers the first angle range, where the angle range of the second detection area is a range of a detection angle, of the dynamic sensor, that covers a driving environment around the vehicle; and obtaining environment information by using the dynamic sensor.

The travel assistance apparatus includes: a first Operating System (OS) that controls execution of at least one of a first application and/or a second application, the first application being for specifying a first travel control amount of a vehicle based on first movement information on a position and a speed of an object around the vehicle, the second application being for specifying a second travel control amount of the vehicle based on second movement information on a position and a speed of the object; a second OS that controls execution of a third application for performing travel control of the vehicle based on at least one of the first travel control amount and/or the second travel control amount; and a hypervisor that is executed on a processor and controls execution of the first OS and the second OS.

Systems and methods are directed to an autonomy computing system of an autonomous vehicle. The autonomy computing system can include first functional circuitry configured to generate a first output associated with a first autonomous compute function of the autonomous vehicle based on sensor data using first neural networks. The autonomy computing system can include second functional circuitry configured to generate a second output associated with the first autonomous compute function of the autonomous vehicle based on the sensor data and neural networks. The autonomy computing system can include monitoring circuitry configured to determine a difference between the first output of the first functional circuitry and the second output of the second functional circuitry. The autonomy computing system can include a vehicle control system configured to generate vehicle control signals for the autonomous vehicle based on the outputs.

Provided is a control apparatus for a vehicle configured to perform parking assist control, the control apparatus including a first power supply device, a second power supply device, and a power supply circuit, the power supply circuit being configured to, when an abnormality occurs in the first power supply device during the performance of the parking assist control, supply an electric power from the second power supply device to a braking device and a shift switching device, and the braking device and the shift switching device being configured to operate such that a timing at which a current flowing from the second power supply device to the braking device reaches a maximum value and a timing at which a current flowing from the second power supply device to the shift switching device reaches a maximum value do not overlap.