The invention relates to a control device for a driver assistance system, wherein the control device comprises a sensor interface via which the control device can be connected to at least one sensor module to receive data from the at least one sensor module, a power processor which is adapted to detect objects and to provide object data based on the data from the at least one sensor module, and a system interface via which the control device can be connected to a higher-level control device of the driver assistance system for forwarding object data provided by the power processor.

A system for controlling an intelligent network vehicle is provided, and the system comprises a sensor group configured to obtain sensor information; a sensing and positioning module configured to obtain sensing information and positioning information based on the sensor information; a planning and control module configured to determine vehicle planning control information based on the sensing information and the positioning information; a safety control module configured to determine safety control information based on the sensing information and the positioning information; a function assessment module configured to determine a vehicle state assessment result; a risk assessment module configured to determine a risk assessment result; a logical arbitration module configured to determine vehicle execution information by arbitrating the vehicle planning control information and the safety control information; and an execution module configured to control the vehicle driving based on the vehicle execution information.

A vehicle system, including: a steering system; and a longitudinal-force application system including longitudinal-force application actuators configured to apply longitudinal forces respectively to one or more left-side wheels and one or more right-side wheels and a longitudinal-force controller configured to control the longitudinal-force application actuators to control the longitudinal forces applied respectively to the one or more left-side wheels and the one or more right-side wheels;, and an onboard power source device including a main power source and a secondary power source. When the main power source fails to supply electric power to the longitudinal-force application system and the steering system, the longitudinal-force controller controls the longitudinal-force application actuators to control a difference between the longitudinal force applied to the one or more left-side wheels and the longitudinal force applied to the one or more right-side wheels, thereby turning the vehicle.

Systems and methods of autonomously controlling a vehicle across the grip driving and drift driving operating ranges, are provided. The contemplated autonomous control can be effectuated using a closed-loop control system. In some embodiments, closed-loop control may be accomplished by deriving control laws involving sideslip angle, yaw rate, wheel speed, and other vehicle states. These control laws may be used to control the vehicle in a stable drift condition.

A vehicle control system is applied to a vehicle equipped with a magnetic sensor configured to detect a magnetic marker on a road. The vehicle control system executes a self-driving control by which self-driving of the vehicle is controlled. The vehicle control system executes a retreat traveling control using the magnetic marker in response to the occurrence of an abnormality in at least part of components and functions necessary for the self-driving control. The magnetic marker provides guidance information by which the vehicle is guided to a safe area. In the retreat traveling control using the magnetic marker, the vehicle control system acquires the guidance information from the magnetic marker detected by the magnetic sensor and causes the vehicle to travel toward the safe area and stop at the safe area based on the guidance information thus acquired.

Techniques are described to enable a vehicle, such as an autonomous vehicle, to steer and/or apply brakes on a road when a failure condition occurs. An example method for autonomous driving operation includes receiving a reduced set of location information that describes a location of the autonomous vehicle on a road; receiving a reduced set of trajectory information where the autonomous vehicle is expected to be driven; determining a driving path information where the autonomous vehicle is expected to be driven; and in response to determining an occurrence of a fault condition: sending a first instruction to cause the autonomous vehicle to steer the autonomous vehicle using at least the driving path information and the reduced set of location information, and sending a second instruction to cause the autonomous vehicle to apply brakes.

A fault diagnosis method and a fault diagnosis apparatus for a vehicle speed measurement apparatus. The method includes: obtaining a first vehicle speed measured by the speed measurement apparatus; obtaining reference information of a static reference object at N moments, where N is an integer greater than 1, and the reference information includes information about a location relationship of the static reference object relative to a vehicle in which the speed measurement apparatus is located at each of the N moments; calculating a second vehicle speed based on the reference information; and determining, based on the first vehicle speed and the second vehicle speed, whether the speed measurement apparatus is faulty.

Provided are methods for verifying the performance of an image sensor mounted to a vehicle, which can include causing alignment of a collimator with an image sensor mounted to a vehicle, receiving sensor data associated with the image sensor based at least in part on causing the alignment of the collimator with the image sensor, determining that the sensor data does not satisfy a performance specification associated with the image sensor, determining an image sensor alert associated with the image sensor based at least in part on determining that the sensor data does not satisfy the performance specification associated with the image sensor, and routing the image sensor alert.

A method for processing sensor data in a system that includes multiple sensors for detecting at least a subarea of surroundings around the system. The method includes at least the following steps: a) reading in sensor data detected at least partially in parallel, b) checking whether an at least partial impairment of the detection by the respective sensor may be established for one or for multiple of the sensors on the basis of the read-in sensor data, c) adapting the use of the sensor data, taking the check from step b) into account.

A vehicle includes a plurality of zone control units that each comprise an inertial measurement unit, and wherein each zone control unit is configured to provide inertial measurement data obtained from its respective inertial measurement unit to other vehicle components via a vehicle bus.