An in-vehicle data collection and processing device receives real-time data from a plurality of sensors relating to at least one of a current vehicle condition and a current driver condition. The device then predicts, by processing at least a portion of the real-time data through a pre-trained pattern recognition algorithm, a likelihood of occurrence of at least one of a plurality of incidents involving the vehicle. In response, the device outputs one or more types of warnings and/or conducts a vehicle evasive maneuver if the likelihood is predicted to be above one or more thresholds.

A computer includes a processor and a memory, the memory storing instructions executable by the processor to predict a heading angle of a target vehicle, determine a distance between a host vehicle and a center line of the target vehicle based on the predicted heading angle, and perform a threat assessment for the target vehicle when the distance is below a threshold.

A method automatically controls an actuator of a control system of an automotive device. The method includes determining a reference trajectory, determining a position of the device with respect to the reference trajectory, acquiring a parameter relating to a force exerted by a driver on a manual control device of the control system, and calculating a controlling setpoint of the actuator. The controlling setpoint is calculated as a function of the parameter and of the position of the device with respect to the reference trajectory.

An autonomous vehicle control system is provided. The control system may include a plurality of cameras to acquire a plurality of images of an area in a vicinity of a vehicle; and at least one processing device configured to: recognize a curve to be navigated based on map data and vehicle position information; determine an initial target velocity for the vehicle based on at least one characteristic of the curve as reflected in the map data; adjust a velocity of the vehicle to the initial target velocity; determine, based on the plurality of images, observed characteristics of the curve; determine an updated target velocity based on the observed characteristics of the curve; and adjust the velocity of the vehicle to the updated target velocity.

A non-transitory computer readable storage medium has instructions executed by a processor to obtain the relative speed between a first traffic object and a second traffic object. The separation distance between the first traffic object and the second traffic object is received. The relative speed and the separation distance are combined to form a quantitative measure of hazard encountered by the first traffic object. The obtain, receive and combine operations are repeated to form cumulative measures of hazard associated with the first traffic object. The cumulative measures of hazard are analyzed to derive a first traffic object safety score for the first traffic object.

An apparatus and a method for controlling vehicle driving are provided. The apparatus includes a sensor that detects a first steering angle and a lane of a first vehicle and senses a second vehicle traveling in an opposite lane. A communication device receives a second steering angle of the second vehicle and a controller determines whether the first steering angle and the second steering angle are changed. The controller determines which of the vehicles enters a curved road based on a determination result and operates the vehicle which does not enter the curved road to decelerate.

Systems and methods are provided for vehicle navigation. In one implementation, a system for a host vehicle includes at least one processor programmed to determine, based on an output of at least one sensor of the host vehicle, one or more target dynamics of a target vehicle; determine, based on one or more host dynamics of the host vehicle and the target dynamics, a time to collision; determine, based on the time to collision and the host dynamics, a host deceleration for the host vehicle to avoid the collision; determine, based on the time to collision and the target dynamics, a target deceleration for the target vehicle to avoid the collision; determine, based on the host deceleration and the target deceleration, a host deceleration threshold; and determine, based on a speed of the host vehicle and the host deceleration threshold, to brake the host vehicle.

A control device for a seat belt of a vehicle includes a retracting unit configured to retract the seat belt, a departure detection unit configured to detect a departure of the vehicle from a lane; a vehicle speed sensor configured to measure a vehicle speed; and an electronic control unit configured to operate the retracting unit when both a first condition and a second condition are satisfied. The first condition is a condition that the departure detection unit detects the departure of the vehicle from the lane, and the second condition is a condition that the vehicle speed is equal to or higher than a prescribed speed, and the electronic control unit is configured not to operate the retracting unit when the first condition is satisfied and the second condition is not satisfied.

A method for assisting in turning a vehicle, the method may include detecting or estimating that the vehicle is about to turn to a certain direction or is turning to the certain direction; sensing a relevant portion of an environment of the vehicle to provide sensed information, wherein the relevant portion of the environment is positioned at a side of the vehicle that corresponds with the certain direction; applying an artificial intelligence process on the sensed information to (i) detect objects within the relevant portion of the environment and (ii) estimate expected movement patterns of the objects within a time frame that ends with an expected completion of the turn of the vehicle; determining, given an expected trajectory of the vehicle during the turn and the expected movement patterns of the objects, whether at least one of the objects is expected to cross the trajectory of the vehicle during the turn; and responding to an outcome of the determining.

A method controls a first vehicle in respect of an oncoming second vehicle. The method determines a turning situation of the first vehicle, in which an expected first trajectory of the first vehicle crosses an expected second trajectory of the second vehicle, and controls the first vehicle in such a way that, during the turning situation, a predetermined distance between the vehicles is maintained. The control includes an influencing of the direction of travel of the first vehicle.