A vehicle includes a communication device configured to request a neighboring vehicle for first data related to autonomous driving of the neighboring vehicle and to receive the first data from the neighboring vehicle while the vehicle is driving; a sensor device configured to sense second data regarding a state of a user of the vehicle and to detect third data regarding driving information of the neighboring vehicle; and a controller configured to classify risks of the vehicle into classes according to a preset criterion based on the first data, the second data, and the third data, and to score the risks based on the classified classes.

A vehicle control apparatus includes a recognizer which is configured to recognize a surrounding environment of a host vehicle and a driving controller which is configured to perform automated driving on the basis of a recognition result of the recognizer, wherein the driving controller is configured to perform passing control of causing the host vehicle to pass a preceding vehicle if at least one of a first condition according to a relative speed of the host vehicle with respect to the preceding vehicle and a second condition according to a type of the preceding vehicle is satisfied when the recognizer recognizes the preceding vehicle, and is configured to curb the passing control by changing at least one of the first condition and the second condition when a continuity of a first route on which the host vehicle is traveling decreases.

Embodiments of this application disclose a vehicle-based data processing method performed by a computer device. The method includes: determining at least two predicted offsets of a first vehicle, a first traveling state of the first vehicle, and a second traveling state of a second vehicle; determining, according to the first traveling state and the second traveling state, first lane change payoffs of the predicted offsets when the second vehicle is in a yielding prediction state, and determining second lane change payoffs when the second vehicle is in a non-yielding prediction state; and determining a predicted yielding probability of the second vehicle, generating target lane change payoffs of the predicted offsets according to the predicted yielding probability and the first lane change payoffs and the second lane change payoffs of the predicted offsets, and determining a predicted offset having a maximum target lane change payoff as a target predicted offset.

A user equipment (UE) in a vehicle may transmit to another vehicle an inter-vehicle message with a driving maneuver request for a driving maneuver to be executed by the vehicle. The inter-vehicle message may include one or more estimated parameters, such as temporal, spatial, or trajectory parameters, for the driving maneuver. The inter-vehicle message may include further includes an indication of an estimation accuracy for the one or more estimated parameters. A UE in a vehicle that receives the inter-vehicle message may determine whether to grant, reject, or submit a counter-proposal to the request based at least in part on the estimated parameters and the indication of the estimation accuracy for the estimated parameters. A response to the maneuver request may be transmitted to the requesting vehicle that grants, rejects, or provides a counter proposal to the maneuver request.

Provided is a preceding vehicle determining device including: a signal acquisition unit configured to acquire a signal from an object detection device; a border setting unit configured to set a border of a lane on which the own vehicle is traveling; a determination area setting unit configured to set a preceding vehicle determination area being an area forward of the own vehicle based on at least one piece of information out of vehicle type information, device type information, detection state information, or preceding vehicle information being information on a vehicle set as a preceding vehicle in previous processing, and based on the border set by the border setting unit; and a preceding vehicle determining unit configured to determine whether the another vehicle is to be set as the preceding vehicle based on a position of the another vehicle with respect to the preceding vehicle determination area.

The present disclosure provides a method and device for predicting a motion track of an obstacle and an autonomous vehicle, and relates to the technical field of autonomous driving, so as to at least solve the technical problem of low prediction precision of a motion track of an obstacle in an interaction scene. A specific implementation solution includes: environment information in a target scene, historical state information of a target obstacle and track planning information of a target vehicle are obtained, and the target obstacle is a potential interaction object of the target vehicle; and a motion track of the target obstacle is predicted based on the environment information, the historical state information and the track planning information.

A vehicle behavior prediction device includes a target vehicle detection unit configured to detect a target vehicle existing in a road region, a distance acquisition unit configured to acquire a front distance that is a distance between the target vehicle and an obstacle existing in front of the target vehicle, a turning radius estimation unit configured to estimate a turning radius of the target vehicle, and an entry prediction unit configured to predict whether or not the target vehicle is able to enter a host lane while avoiding an obstacle.

A method for lane departure assistance, the method may include obtaining sensed information about an environment of the first vehicle, by one of more vehicle sensors of a first vehicle; wherein the environment of the first vehicle comprises a passing lane and a current lane in which the first vehicle is positioned; determining, by a computer of the first vehicle, whether the first vehicle can successfully and lawfully bypass a second vehicle; wherein the determining is executed before starting the bypass of the second vehicle and is based on the sensed information, one or more driving laws, and one or more first vehicle mechanical parameters; generating a driver perceivable indicator that is indicative of the determining; sensing that the driver initiates a bypass of the second vehicle; evaluating, following the start of the bypass of the second vehicle and during at least a majority of the bypass, whether the first vehicle can successfully and lawfully complete the bypass of the second vehicle; and generating another driver perceivable indicator that is indicative of the evaluating.

Proceed-or-stop determination apparatus, includes: camera mounted on self-driving vehicle and configured to acquire image in traveling direction of the vehicle; speed acquisition unit configured to acquire traveling speed of the vehicle; position acquisition unit configured to acquire position of the vehicle with respect to stop position corresponding to traffic light in the traveling direction; and controller. The controller is configured to perform: recognizing the traffic light at predetermined cycle based on the image; recognizing lighting state of the traffic light; and determining whether the vehicle should proceed or stop at the predetermined cycle based on the lighting state, traveling speed, and position, when the traffic light is recognized. The controller determines whether the vehicle should proceed or stop further based on previous determination result in previous cycle and the lighting state recognized in the previous cycle.

A vehicle control apparatus starts driving trouble tackling control designed to decelerate and stop an own vehicle when it is determined that a driver is in a driving trouble state where the driver has trouble driving the own vehicle, then start a deceleration process at a predetermined timing as a process of driving trouble tackling control, and then start a hazard lighting process at a predetermined timing as another process of driving trouble tackling control. The vehicle control apparatus stops driving trouble tackling control when a hazard switch is operated during the performance of the hazard lighting process, and starts the hazard lighting process without stopping the driving trouble tackling control when the hazard switch is operated between a timing when it is determined that the driver is in the driving trouble state and a timing when the hazard lighting process is started.