An acquisition unit (110) acquires attribute information of a moving object, entry-exit information, and target position information. The entry-exit information is for specifying an entry position to an intersection and an exit position from the intersection. The attribute information of the moving object is information regarding the moving object. The target position information is information indicating a target position located in the intersection. The target position indicates a position at least near which a route of the moving object is to pass. A determination rule setting unit (120) sets a rule used when the route is determined, by using the attribute information of the moving object. A route setting unit (130) sets the above-described route using the rule set by the determination rule setting unit (120), and the entry-exit information and the target position information acquired by the acquisition unit (110).

Provided is a vehicle control device which, when traffic participants are waiting in the vicinity of a railroad crossing for a train to pass, appropriately controls driving of a vehicle about to pass through the railroad crossing. Entry of the vehicle into the railroad crossing is restrained until a waiting time elapses since when the railroad crossing transitioned from a passage blocking state to a passage allowing state, the waiting time being set in accordance with the kind or the number of the traffic participants present in the vicinity of the railroad crossing. When the waiting time has elapsed, the vehicle is caused to enter the railroad crossing and pass (through) the railroad crossing.

A system provides to a vehicle approaching an intersection information about objects of interest that are in a vicinity of the intersection. The system includes a remote server system that receives, from each node of a network of nodes at various intersections, augmented perception data (APD) representing a set of objects of interest that are proximate the intersection the node is located. The APD is extracted from images captured by a node vision system. The remote server system receives a query from the vehicle for APD associated with an imminent path of a planned route of the vehicle. The remote server system searches for resultant APD associated with the path and communicates the resultant APD to the vehicle. The objects of interest associated with an imminent intersection and objects of interest captured by the vehicle are fused together to control navigation of the vehicle through the imminent intersection.

The present invention relates to a method for use in a driver assistance system of an ego-vehicle. The method supports driving of the ego-vehicle and comprises the steps of retrieving a priority relationship between the ego-vehicle and at least one traffic participant involved in a traffic situation; selecting a prediction model for the at least one traffic participant depending on the priority relationship; predicting at last one hypothetical future trajectory for the ego-vehicle and, based on the selected prediction model, at last one hypothetical future trajectory for the at least one traffic participant; and calculating a behavior relevant score for ego-vehicle based on the calculated hypothetical future trajectories.

A method for correcting a travelling trajectory of a vehicle which is executed by a processor includes: generating a subject vehicle travelling route that a subject vehicle travels based on map information stored in a database; calculating a travelling trajectory of the subject vehicle to be a target trajectory when the subject vehicle travels on the subject vehicle travelling route; detecting a position of another vehicle travelling on a lane located in a width direction of the subject vehicle by a sensor provided for the subject vehicle; calculating an offset of a position of the other vehicle in another vehicle lane that the other vehicle travels based on the position of the other vehicle; and correcting the travelling trajectory of the subject vehicle in accordance with the offset.

A vehicle control device (100) includes a recognizer (130) that recognizes a situation occurring near an own-vehicle, and a driving controller (140, 160) that controls acceleration/deceleration and steering of the own-vehicle on the basis of a result of the recognition of the recognizer. When performing travel control according to a behavior of a preceding vehicle that is traveling in front of the own-vehicle such that the own-vehicle follows the preceding vehicle to pass through an intersection, the driving controller does not perform following of the preceding vehicle if a turning start point of the preceding vehicle does not match a turning start point in a route predicted for the own-vehicle to pass through the intersection in a scheduled direction or if a turning angle of the preceding vehicle does not match a turning angle in the predicted route.

The present disclosure provides a vehicle control method, an apparatus, an electronic device and a vehicle, which relates to a technical field of artificial intelligence, such as automatic driving, intelligent transportation and computer vision, etc. The specific implementation solution is that: when passing a traffic light intersection, a vehicle can acquire a traffic light image of the intersection at a driving direction of the vehicle, identify the traffic light image, determine a first light color of a target traffic light corresponding to a lane on which the vehicle is located; and acquire light color change information of the target traffic light latest recorded; determine remained duration of the first light color according to the light color change information, then determine a driving strategy at the intersection of the vehicle according to the first light color and the remained duration of the first light color.

An environmental safety system may include first sensors each located at a predetermined physical location of a physical location and with a predetermined orientation. The system may receive first sensor data captured by the plurality of first sensors. The system may also determine values of parameters of an object within a threshold distance of the physical location using the first sensor data. The values of the parameters of the object may be transmitted to a vehicle approaching the physical location. The vehicle may receive second sensor data captured by second sensors in the vehicle. An optimized navigation of the vehicle approaching the physical location may be determined based on the values of the parameters of the object and the second sensor data. A driving action may be provided to the vehicle based on the optimized navigation of the vehicle.

A method for controlling an automated vehicle when driving into a crossing of equal-ranking roads involves the vehicle granting grants the further vehicles right of way at least for a pre-determined waiting time. The vehicle determines, according to a pre-determined arbitration rule, whether it should have priority over the further vehicles for passing through the crossing. After the waiting time has passed, the vehicle begins a crossing traversal maneuver to traverse the crossing if it is determined that it should have priority for passing through the crossing and if none of the further vehicles has driven on in the interim.

A configuration is provided so that information of detection of vehicles, pedestrians, etc. provided from a roadside device can be used by an automobile that cannot communicate with the roadside device. A warning device is configured to output a warning for an automobile traveling in a predetermined lane at an intersection where a roadside device is installed, the roadside device being configured to transmit information of detection of vehicles, pedestrians, etc., the warning device including a receiving unit configured to receive information of detection of vehicles, pedestrians, etc. transmitted from the roadside device and signal information of a signal lamp for the predetermined lane, and a warning unit configured to output a warning based on the information of detection of vehicles, pedestrians, etc. and the signal information received by the receiving unit.