Various implementations described herein generate training instances that each include corresponding training instance input that is based on corresponding sensor data of a corresponding autonomous vehicle, and that include corresponding training instance output that is based on corresponding sensor data of a corresponding additional vehicle, where the corresponding additional vehicle is captured at least in part by the corresponding sensor data of the corresponding autonomous vehicle. Various implementations train a machine learning model based on such training instances. Once trained, the machine learning model can enable processing, using the machine learning model, of sensor data from a given autonomous vehicle to predict one or more properties of a given additional vehicle that is captured at least in part by the sensor data.

A host vehicle includes a rear image capturing device and a vehicle control device. The rear image capturing device captures an image of an area behind the host vehicle. The vehicle control device detects a lateral position of a following vehicle in the same lane as that in which the host vehicle travels, the following vehicle being reflected in the image captured by the rear image capturing device and traveling in the lane. The vehicle control device determines a lateral position of the host vehicle within a lane depending on the lateral position of the following vehicle within the same lane.

Provided is a vehicle travel control device capable of improving the usability of a following control by detecting dangerous behavior in a preceding vehicle, and differing the release timing of the following control. A vehicle travel control device having a preceding vehicle behavior recognition means for obtaining behavior information for a preceding vehicle, a preceding vehicle behavior determination means for detecting the degree of risk of dangerous behavior in the preceding vehicle from the behavior information, and determining the feasibility of a following control targeting the preceding vehicle on the basis of the detected dangerous behavior risk degree, and a vehicle operation control means for outputting an acceleration/deceleration/braking/steering control command to an actuator on the basis of the feasibility determination for the following control, wherein dangerous behavior is detected on the basis of the preceding vehicle behavior information, and the timing differs between a first release timing for the following control when a first dangerous behavior is detected and a second release timing for the following control when a second dangerous behavior different from the first dangerous behavior is detected.

The present invention relates to a user interface apparatus for vehicle comprising: an output unit; a driver sensing unit; and a processor configured to determine a driving level of a driver, based on driver information acquired through the driver sensing unit, select a traveling function based on the driving level of the driver among a plurality of traveling functions, and control to output information on the selected traveling function through the output unit.

A vehicle control device includes a recognizer configured to recognize a situation in the vicinity of a host vehicle, a first determiner configured to determine whether or not speed of a preceding vehicle present in front of the host vehicle in a host vehicle lane where the host vehicle is present is less than prescribed speed, a second determiner configured to determine whether or not a following vehicle present behind the host vehicle in the host vehicle lane has overtaken the host vehicle when the first determiner determines that the speed of the preceding vehicle is less than the prescribed speed, and a driving controller configured to control speed and steering of the host vehicle and cause the host vehicle to overtake the preceding vehicle when the second determiner determines that the following vehicle has overtaken the host vehicle.

A driver assistance system of an equipped vehicle includes at least one camera disposed at the equipped vehicle so as to have a field of view exterior of the equipped vehicle. A control has an image processor operable to process frames of image data captured by the camera. The image processor processes frames of captured image data to determine a target vehicle present in the field of view of the camera and to determine motion of the determined target vehicle relative to the equipped vehicle. The control, responsive to processing frames of captured image data via the image processor, determines a path of travel of the determined target vehicle relative to the equipped vehicle as the equipped vehicle is moving. The control translates the determined motion of the target vehicle to a local coordinate system of the equipped vehicle.

A vehicle for estimating a moving path of an object approaching from behind, and determining a probability for entering a rear lane and a probability of collision is provided. The vehicle includes a speed sensor that detects speed information, a direction sensor that detects driving direction information, and a radar that senses an object approaching the vehicle. A controller then estimates a moving path of an object traveling on a rear lane and approaching the vehicle from behind and determines whether the vehicle is able to enter the rear lane, based on the speed information acquired by the speed sensor, the driving direction information acquired by the direction sensor, and data of the object sensed by the radar. Accordingly, the controller detects a probability of collision with the object approaching the vehicle on the rear lane.

A cruise control device 10 is applied to a vehicle in which an imaging device 21 is mounted. The cruise control device 10 includes: a white line recognition unit 11 which recognizes a white line 61 as a lane boundary that defines an own lane 63 that is a travel lane of an own vehicle 50, on the basis of images acquired by the imaging device 21; and a cutting-in/deviation determination unit 12 which performs cutting-in determination and deviation determination, in which the forward vehicle traveling on an adjacent lane 64 is determined to be a cutting-in vehicle that cuts into the own lane, and the forward vehicle traveling on the own lane is determined to be a deviating vehicle that deviates from the own lane on the basis of a relative position with respect to the white line in a vehicle width direction of a forward vehicle 51.

An on-board system of a vehicle scans for target entities in at least one lane to a side of the vehicle and determines position and state of motion of detected target entities. From a state of the vehicle, an intention is inferred of a driver to move the vehicle into one of the at least one lane. If the on-board system detects a risk of collision between a target entity and the vehicle, then the motion of the vehicle is impeded by the system applying brakes of the vehicle and/or reducing a driving torque of the vehicle. A speed of the vehicle is monitored and a motion of the vehicle is not impeded if the speed of the vehicle is above a threshold speed.

A safe driving control system for vehicles includes one or more processors configured to: recognize a nearby vehicle approaching a host vehicle, and collect information about the nearby vehicle; receive distance information of the nearby vehicle, and determine an extent of collision danger between the host vehicle and the nearby vehicle based on a distance between the host vehicle and the nearby vehicle; and move the host vehicle in a direction in which there are no vehicles therearound based on the extent of collision danger.