A driver assistance system of a vehicle includes a forward viewing camera, a forward sensing non-vision sensor, and an ECU having at least one data processor. The ECU, responsive to processing of image data captured by the camera and to processing of sensor data captured by the non-vision sensor, provides a driving assistance function for the vehicle. The ECU detects presence of objects forward of the vehicle via processing of captured image data and captured sensor data. The ECU determines an error in object detection by determining difference between object detection based on processing of captured image data and object detection based on processing of captured sensor data. The ECU disables at least part of the driving assist function at least in part responsive to the determined error in object detection being greater than a threshold error level.

A method for indirectly deriving a systematic dependence for a system behavior of a system component of a cleaning system of a motor vehicle. The cleaning system is adapted for cleaning at least one surface of the motor vehicle by means of a cleaning process adapted for a resource efficient cleaning. Additionally, a diagnosing method, a method for selecting a resolution strategy, a use of a resolution strategy, a cleaning method, a cleaning system, and a motor vehicle are disclosed.

Systems, methods and apparatus of recordation of vehicle data associated with errant vehicle behavior. For example, a vehicle includes: sensors configured to generate sensor data; control elements configured to generate control signals to be applied to the vehicle in response to user interactions with the control elements; electronic control units configured to provide status data in operations of the electronic control units; and a data storage device. The data storage device is configured to receive input data including the sensor data, the control signals and the status data, store the input data in a cyclic way in an input partition over time, generate a classification of errant behavior based on the input data and using an artificial neural network, and preserve a portion of the input data associated with the classification of errant behavior.

Systems, methods and apparatus of recordation of vehicle data associated with errant vehicle behavior. For example, a vehicle includes: sensors configured to generate sensor data; control elements configured to generate control signals to be applied to the vehicle in response to user interactions with the control elements; electronic control units configured to provide status data in operations of the electronic control units; and a data storage device. The data storage device is configured to receive input data including the sensor data, the control signals and the status data, store the input data in a cyclic way in an input partition over time, generate a classification of errant behavior based on the input data and using an artificial neural network, and preserve a portion of the input data associated with the classification of errant behavior.

In one embodiment, a control command is generated by an autonomous controller of the ADV. Feedback is sensed that corresponds to the control command. A difference is determined between a) the control command, and b) the feedback corresponding to the control command. If the difference is meets a threshold, then a fault response is generated.

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.

A vehicle control system (500) controls a vehicle whereon a plurality of ECUs (30) and a vehicle integrated control device (10) to control the plurality of ECUs (30) are mounted. The vehicle integrated control device (10) includes a control target value operation unit to calculate a control target value to control the plurality of ECUs (30). Further, the vehicle integrated control device (10) includes a prediction control value operation unit to estimate a state of the vehicle in the future, and to calculate a prediction control value to control the plurality of ECUs (30). The vehicle integrated control device (10) includes an instruction signal generation unit to generate an instruction signal including an operation instruction and a prediction control instruction. Each of the plurality of ECUs (30) includes an actuator control unit to control an actuator (50) based on the prediction control instruction.

A method is provided for controlling an air conditioning compressor in a hybrid powertrain of a motor vehicle. The hybrid powertrain includes an internal combustion engine, a first electric machine, and a second electric machine The electric machines and the internal combustion engine are selectively connected to the air conditioning compressor so as to function as a drive of the air conditioning compressor. At least one of the first electric machine, the second electric machine, or the internal combustion engine is selected as the drive is selected based on a selection by an occupant of the motor vehicle. The selected drive is actuated to drive the air conditioning compressor.

Disclosed embodiments relate to adjusting vehicle Electronic Control Unit (ECU) software versions. Operations may include receiving a prompt to adjust an ECU of a vehicle from executing a first version of ECU software to a second version of ECU software; configuring, in response to the prompt and based on a delta file corresponding to the second version of ECU software, the second version of ECU software on the ECU in the vehicle for execution; and configuring, in response to the prompt, the first version of ECU software on the ECU in the vehicle to become non-executable.