The present disclosure relates to a method for predicting a behavior of a target vehicle in a maneuvering space, in which a plurality of maneuvers which can be executed in the future are provided for the target vehicle, in the maneuvering space, the target vehicle located in the maneuvering space being observed by a plurality of observation vehicles, for each maneuver of the target vehicle that can be executed in the future, a single probability distribution for the relevant maneuver that can be executed in the future being determined, on the basis of an observation performed by a relevant observation vehicle, for each maneuver of the target vehicle that can be executed in the future, a total probability distribution for the relevant maneuver of the target vehicle that can be executed in the future being established from a plurality of single probability distributions.

The present disclosure relates to a method for predicting a behavior of a target vehicle in a maneuvering space, in which a plurality of maneuvers which can be executed in the future are provided for the target vehicle, in the maneuvering space, the target vehicle located in the maneuvering space being observed by a plurality of observation vehicles, for each maneuver of the target vehicle that can be executed in the future, a single probability distribution for the relevant maneuver that can be executed in the future being determined, on the basis of an observation performed by a relevant observation vehicle, for each maneuver of the target vehicle that can be executed in the future, a total probability distribution for the relevant maneuver of the target vehicle that can be executed in the future being established from a plurality of single probability distributions.

A traffic warning method and apparatus includes: obtaining driving status information of a dangerous vehicle on a target road and pavement status information of the target road; determining potential collision strength of the dangerous vehicle against a first vehicle according to driving status information of the first vehicle on the target road, the driving status information of the dangerous vehicle, and the pavement status information of the target road; correcting the potential collision strength of the dangerous vehicle against the first vehicle according to a difference between a performance parameter of the dangerous vehicle and a performance parameter of a non-dangerous vehicle on the target road; and performing traffic warning according to the corrected potential collision strength of the dangerous vehicle against the first vehicle.

A traffic warning method and apparatus includes: obtaining driving status information of a dangerous vehicle on a target road and pavement status information of the target road; determining potential collision strength of the dangerous vehicle against a first vehicle according to driving status information of the first vehicle on the target road, the driving status information of the dangerous vehicle, and the pavement status information of the target road; correcting the potential collision strength of the dangerous vehicle against the first vehicle according to a difference between a performance parameter of the dangerous vehicle and a performance parameter of a non-dangerous vehicle on the target road; and performing traffic warning according to the corrected potential collision strength of the dangerous vehicle against the first vehicle.

A communication system for a vehicle comprises a mechanism for sensing a motion status of a vehicle, a control device, plurality of data acquisition sensors, and one or more alerting device activation circuits. The communication system is customizable with the plurality of data acquisition sensors and one or more alerting device activation circuits based upon the needs of the vehicle.

A communication system for a vehicle comprises a mechanism for sensing a motion status of a vehicle, a control device, plurality of data acquisition sensors, and one or more alerting device activation circuits. The communication system is customizable with the plurality of data acquisition sensors and one or more alerting device activation circuits based upon the needs of the vehicle.

System for automatically recognising anomalous situations along roads travelled by motor-vehicles for intelligent motor-vehicle driving speed control along roads.

The motor-vehicles are configured to transmit data allowing anomalous situations to be recognised along roads travelled by the motor-vehicles.

The system comprises data processing resources configured to:

receive and process data transmitted by the motor-vehicles to recognise anomalous situations along the roads travelled by the motor-vehicles based on a recognition algorithm,

when anomalous situations are recognised along roads travelled by the motor-vehicles, generate associated alert events and compute reference driving speeds along the roads recognised to be affected by anomalous situations, and

transmit data representative of the alert events and of the reference driving speeds along the roads recognised to be affected by anomalous situations.

The motor-vehicles are further configured to:

receive data representative of alert events and reference driving speeds, and

use the received data to implement one or both of the following actions: inform the drivers of motor-vehicles, through automotive user interfaces of motor-vehicles of the anomalous situations recognised along roads travelled by motor-vehicles, and cause current driving speeds of the motor-vehicles to be adjusted to the reference driving speeds along roads recognised to be affected by anomalous situations.

This application provides a data processing method performed a computer device. The method includes: generating an initial predicted lane change acceleration corresponding to a target vehicle in a current lane; generating target predicted position information corresponding to the target vehicle according to a predicted lane change time duration taken for the target vehicle to change from the current lane to a target lane, the target lane being a lane to which the target vehicle is expected to change to; determining a target obstacle vehicle in the target lane and adjacent to the target vehicle according to the target predicted position information; determining, according to a predicted position relationship between the target obstacle vehicle and the target vehicle, a target predicted lane change acceleration; and controlling, according to the target predicted lane change acceleration, the target vehicle to change from the current lane to the target lane.

This application provides a data processing method performed a computer device. The method includes: generating an initial predicted lane change acceleration corresponding to a target vehicle in a current lane; generating target predicted position information corresponding to the target vehicle according to a predicted lane change time duration taken for the target vehicle to change from the current lane to a target lane, the target lane being a lane to which the target vehicle is expected to change to; determining a target obstacle vehicle in the target lane and adjacent to the target vehicle according to the target predicted position information; determining, according to a predicted position relationship between the target obstacle vehicle and the target vehicle, a target predicted lane change acceleration; and controlling, according to the target predicted lane change acceleration, the target vehicle to change from the current lane to the target lane.

At least one nearby vehicle may be extracted from a vehicle vicinity image collected by a sensor equipped in the target vehicle. Lane recognition information representing which one position a position of the extracted nearby vehicle corresponds to with respect to the target vehicle, and/or vehicle position information representing a relative distance from the target vehicle to the nearby vehicle may be identified. An attention degree of the nearby vehicle may be calculated based on a speed of the nearby vehicle calculated from the relative distance and a vehicle speed of the target vehicle, the vehicle position information of the nearby vehicle, the relative distance of the nearby vehicle, the speed of the target vehicle, or any combination thereof. An alarm for the nearby vehicle may be displayed on a screen according to the calculated attention.