A collision detection method, an electronic device, and a storage medium are provided, which relate to a field of artificial intelligence technology, and in particular to fields of intelligent transportation and autonomous driving technologies. The method includes: determining a predicted travel range of a target object based on a planned travel trajectory of the target object and a historical travel trajectory of the target object; determining, in response to a target obstacle being detected, a predicted travel range of the target obstacle based on a current travel state of the target obstacle; and determining whether the target object has a risk of colliding with the target obstacle, based on the predicted travel range of the target object and the predicted travel range of the target obstacle.

The present invention relates to a method of cooperatively coordinating future driving maneuvers of a vehicle with fellow maneuvers of at least one fellow vehicle, wherein trajectories for the vehicle are rated with an effort value each, trajectories and fellow trajectories of the fellow vehicle are combined into tuples, the trajectory and the associated effort value of a collision-free tuple are selected as reference trajectory and reference effort value, trajectories with a lower effort value than the reference effort value are classified as demand trajectories, trajectories with higher effort value than the reference effort value are classified as alternative trajectories, and a data packet having a trajectory set consisting of the reference trajectory and the associated reference effort value as well as at least one trajectory from a group comprising the demand trajectories and the alternative trajectories as well as the respective effort values is transmitted to the fellow vehicle.

Systems for collision avoidance for a vehicle. One or more inputs are used to determine an impending collision. Once determined, corrective actions are taken to reduce the severity of the collision. The corrective actions can avoid the collision and/or reduce the damage caused by the collision. The systems and methods can be performed at the vehicle based on data available to a control unit in the vehicle. The systems and methods can also be performed at a system level that controls one or more vehicles and/or objects.

A vehicle control method implemented by a first vehicle configured with at least one driver assistance system. The method includes activating a driver assistance system to an active state, applying a vehicle speed range to the first vehicle in response to the driver assistance system being in the active state, obtaining first information of a moving object near the first vehicle, determining a first parameter based on the first information, and further terminating, based on the first parameter, the active state, and setting, based on the first parameter, the first vehicle to run at a first vehicle speed beyond the vehicle speed range.

A control apparatus includes a risk area specification unit to specify a risk area outside a movable object, a transmission control unit to perform control to transmit alert information related to a position of the risk area to an outside of the movable object, a reception control unit to perform control to receive response information including information related to a position of another movable object that is response information to the alert information which is transmitted by the other movable object, and a control unit to execute control of the movable object based on position information of the risk area and the information related to the position of the other movable object which is acquired, in which the alert information includes information for controlling a mode related to a transmission cycle of the response information to be transmitted by the other movable object which has received the alert information.

A vehicle controller includes a first detector that detects a traveling state of a host vehicle, a second detector that detects a traveling state of an other vehicle that travels along a main lane when the host vehicle is traveling along a merging road, a marking line recognizer that recognizes a marking line of the main lane, and a merging controller that performs merging control of the host vehicle into the main lane based on a transverse moving situation of the other vehicle detected by the second detector, wherein, when a marking line of the main lane is unable to be recognized by the marking line recognizer, the merging controller delays starting of the merging control in comparison with a case in which the marking line of the main lane is able to be recognized by the marking line recognizer.

This application discloses a vehicle driving exit prediction method includes: obtaining a first location of the target vehicle at the target intersection and a driving direction of the target vehicle; obtaining N reference points respectively associated with N driving exits of the target intersection, where N is a positive integer; obtaining, based on the first location, the driving direction of the target vehicle, and the N reference points, likelihoods corresponding to the N driving exits respectively, where the likelihood indicates a probability that the target vehicle travels out of the target intersection from a corresponding driving exit; and obtaining a driving exit with a largest likelihood in the N driving exits as the driving exit of the target vehicle.

An apparatus for controlling a vehicle includes an object selection device configured to select an object intersecting the vehicle at an intersection existing on a driving path of the vehicle, a risk determination device configured to determine a risk during driving of the vehicle based on a predicted path of the object, and a driving control device configured to determine a driving method of the vehicle based on a risk determination result.

A system including a proximity monitor associated with an entity. The proximity monitor includes a communication interface, a memory, and an electronic processor. The communication interface receives first position state data and identification data associated with a neighboring entity. The electronic processor includes instructions to associate a first shape model with the neighboring entity based on the identification data, determine a first space occupied by the neighboring entity based on the first position state data and the first shape model, identify a proximity event based on the first space occupied by the neighboring entity relative to a position of the entity, and generate an alert based on the proximity event.

Apparatuses, storage media and methods associated with computer assisted driving (CAD), are disclosed herein. In some embodiments, an apparatus includes an autopilot engine to automatically pilot the vehicle out of a potential emergency situation, including to automatically pilot the vehicle for a period of time in view of a plurality of operational guardrails determined in real time for each of a plurality of timing windows; and a mitigation unit to conditionally activate the autopilot engine, including to activate the autopilot engine in response to analysis results indicative of the vehicle being potentially operated into the emergency situation manually. Other embodiments are also described and claimed.