A method for exchanging pieces of maneuver information between vehicles. A parameterizable third-party trajectory planner provided by a third-party vehicle and mapping future pieces of maneuver information of the third-party vehicle are parameterized and executed in an ego vehicle, using at least one time parameter, to obtain at least one future third-party trajectory of the third-party vehicle.

Provided are methods for correcting multi-zone motion blur, which include executing, using at least one processor, an alignment of at least one image capturing device with at least one collimating device in a plurality of collimating devices, causing a rotation of at least one collimating device, receiving at least one image of at least one target object captured by the image capturing device for processing by at least one rotating collimating device, and determining, based on the at least one processed image, a degradation of the received image of the target object.

A method for controlling motion of a vehicle, the method comprising the steps of: obtaining input information on a vector related to the velocity of said vehicle; computing repeatably a future trajectory of said vehicle based on said input information and trial torques to be applied to at least one wheel of said vehicle for optimizing said future trajectory in view of a target vehicle motion, thereby obtaining target trial torques; and applying the obtained target trial torques to the at least one wheel for controlling the motion of said vehicle.

Described herein are systems and methods for applying machine learning to telematics data to generate a unique vehicle fingerprint by periodically receiving telematics data generated at a plurality of sensors of a vehicle; standardizing the telematics data; aggregating the standardized telematics data; applying a trained machine learning model to embed the aggregated telematics data into a low-dimensional state; and generating a unique vehicle fingerprint, the vehicle fingerprint comprising a static component, a dynamic component, or both a static component and a dynamic component; including iterative repetition to update the dynamic component of the vehicle fingerprint.

A method of operating a vehicle of determining whether the vehicle is operating in a road segment with a low visibility condition to cause a loss of input of sensor data to a vehicle controller that operates an assist feature, activating one or more adaptive alerts based on a road departure risk of the vehicle, and driver use of the assist feature in the upcoming road segment, wherein the road departure risk is determined by calculating a road departure risk index that compares an estimated vehicle path based on the vehicle state data with a probabilistic vehicle path for the upcoming road segment; and predicting whether will operate within an acceptable path in the upcoming road segment; and tracking the vehicle in the upcoming road segment based on vehicle navigation data to provide at least one adaptive alert based on a prediction of the road departure risk.

Disclosed herein is a vehicle predictive control method that includes determining a driving prediction horizon in front of a vehicle, dividing the driving prediction horizon into a plurality of steps, at least some of the steps corresponding to a sloped section being integrated into one step according to slopes, and applying a driving prediction model based on a relationship between states of vehicle speed, traction force, and braking force for each step and collectively computing the driving prediction model over the entire prediction horizon to calculate a control value for the vehicle.

Methods and systems are disclosed for cross-validating a second sensor with a first sensor. Cross-validating the second sensor may include obtaining sensor readings from the first sensor and comparing the sensor readings from the first sensor with sensor readings obtained from the second sensor. In particular, the comparison of the sensor readings may include comparing state information about a vehicle detected by the first sensor and the second sensor. In addition, comparing the sensor readings may include obtaining a first image from the first sensor, obtaining a second image from the second sensor, and then comparing various characteristics of the images. One characteristic that may be compared are object labels applied to the vehicle detected by the first and second sensor. The first and second sensors may be different types of sensors.

When information related to road surface conditions is conveyed from a vehicle body side system to a tire-mounted sensor and the tire-mounted sensor determines the road surface condition, an integrated voltage value is corrected based on the information related to the road surface condition. It is thus possible to estimate the road surface condition more accurately. Furthermore, in as much as the road surface condition is estimated at each tire-mounted sensor, the road surface condition can be estimated for each wheel.

When information related to road surface conditions is conveyed from a vehicle body side system to a tire-mounted sensor and the tire-mounted sensor determines the road surface condition, an integrated voltage value is corrected based on the information related to the road surface condition. It is thus possible to estimate the road surface condition more accurately. Furthermore, in as much as the road surface condition is estimated at each tire-mounted sensor, the road surface condition can be estimated for each wheel.

A vehicular arbitration system includes: a main manager configured to receive one or more requests from a plurality of first application execution units and to determine a request for operating a predetermined on-vehicle device based on the received one or more requests and a predetermined rule; and a plurality of sub-managers respectively configured to arbitrate the request determined by the main manager and a request input from at least one second application execution unit that is different from the plurality of first application execution units and to control the on-vehicle device based on an arbitration result.