A vehicle integrated controller includes an in-vehicle communication module configured to communicate with at least one controller mounted on the vehicle; a collection module configured to collect collection information including controller information, which is information on the at least one controller, through the in-vehicle communication module; and an aging abnormality processor configured to calculate an aged state or an abnormal state of the at least one controller based on the collection information, and when there exists a controller (hereinafter, “control target controller”) in the aged state or abnormal state among the at least one controller, calculate a value of a control parameter for the control target controller to maintain basic performance.

A method, a control arrangement and a sensor target for enabling calibration of vehicle sensors. The sensor target comprises a plurality of recognition zones, each comprising a recognition pattern dedicated to a distinct sensor modality, for enabling calibration of vehicle sensors of the respective sensor modality; and localization dependent information associated with at least one recognition zone, provided to the vehicle via a vehicle sensor reading.

An object sensing device is configured to sense an object therearound using an ultrasonic sensor. The object sensing device comprises: a distance judgment portion that performs a judgement of a distance to the object therearound in accordance with received ultrasonic waves that are based on transmitted ultrasonic waves by the ultrasonic sensor; and a notification control portion that performs a predetermined notification operation in accordance with the received ultrasonic waves that are based on the transmitted ultrasonic waves. The notification control portion performs the predetermined notification operation when the distance judgement portion has continuously judged that the object is within a predetermined close range. The notification control portion fails to perform the predetermined notification operation when a judgement history of the distance to the object by the distance judgement portion indicates an abnormal appearance of the object within the predetermined close range.

Techniques for determining a degraded state associated with a sensor are discussed herein. For example, a sensor associated with vehicle may captured data of an environment. A portion of the data may represent a portion of the vehicle. Data associated with a region of interest can be determined based on a calibration associated with the sensor. For example, in the context of image data, image coordinates may be used to determine a region of interest, while in the context of lidar data, a beam and/or azimuth can be used to determine a region of interest. A data metric can be determined for data in the region of interest, and an action can be determined based on the data metric. For example, the action can include cleaning a sensor, scheduling maintenance, reducing a confidence associated with the data, or slowing or stopping the vehicle.

According to certain aspects, a computer-implemented method for operating an autonomous or semi-autonomous vehicle may be provided. With the customer's permission, an identity of a vehicle operator may be identified and a vehicle operator profile may be retrieved. Operating data regarding autonomous operation features operating the vehicle may be received from vehicle-mounted sensors. When a request to disable an autonomous feature is received, a risk level for the autonomous feature is determined and compared with a driver behavior setting for the autonomous feature stored in the vehicle operator profile. Based upon the risk level comparison, the autonomous vehicle retains control of vehicle or the autonomous feature is disengaged depending upon which is the safer driver—the autonomous vehicle or the vehicle human occupant. As a result, unsafe disengagement of self-driving functionality for autonomous vehicles may be alleviated. Insurance discounts may be provided for autonomous vehicles having this safety functionality.

Techniques for a pose component that may determine a pose are described herein. A pose may refer to the inertial pose or position of a vehicle which may be updated in real-time or near real-time. For example, the techniques may include receiving a plurality of input signals at a pose component and monitoring the plurality of input signals. The pose component may determine, based on the monitoring of the plurality of input signals, a particular pose update algorithm of a plurality of pose update algorithms for determining the pose and determine, using the particular pose update algorithm, the pose based the plurality of input signals and IMU measurements associated with a primary IMU.

A method for safe at least semi-autonomous driving operation of an ego vehicle in case of sun glare is disclosed. The method involves checking, by a computing system, whether one or more vehicle sensors of the ego vehicle are dazzled by sun glare, and if yes, detecting environmental information by a detection system of the ego vehicle. The method further involves subsequently checking, by a computing system, the environmental information for a presence of at least one dynamic object for intercepting the sun glare during driving operation of the ego vehicle, and if yes, checking, by a computing system, whether the ego vehicle can execute a driving manoeuvre in such a way that the at least one dynamic object intercepts the sun glare during driving operation of the ego vehicle. If yes, then the driving manoeuvre is executed.

Techniques for using ball joint sensor data to determine conditions relevant to a vehicle are described in this disclosure. For example, in one example, the ball joint sensor data may be used to determine estimated steering data. The estimated steering data may be directly used to navigate through an environment, such as by the vehicle relying on the estimated steering data when planning, tracking, or executing a driving maneuver. Also, the estimated steering data may be used to verify the reliability of other steering sensor data used to navigate through the environment.

A sensor abnormality determination device of a four-wheel drive vehicle including a drive source, main drive wheels and sub-drive wheels, a power transmitting member, a first connecting/disconnecting device, a second connecting/disconnecting device, a first sensor, and a rotation sensor, the sensor abnormality determination device comprises a first sensor abnormality determining portion determining that the first sensor is abnormal when the rotation sensor detects the rotation of the power transmitting member and it is presumed that the four-wheel drive vehicle is in the four-wheel drive state, when the first sensor detects that the first connecting/disconnecting device is in the disconnecting state, and when the rotation sensor detects the rotation of the power transmitting member after the second connecting/disconnecting device is switched to the disconnecting state.

In various embodiments, methods and systems are provided for processing data pertaining to a vehicle event for a vehicle. In accordance with an exemplary embodiment, vehicle sensor data is obtained from one or more vehicle sensors pertaining to the vehicle event. Also in an exemplary embodiment, an assessment of the vehicle event is determined via a processor, including as to a fault or a severity, or both associated with the vehicle event, based on the vehicle sensor data.