While operating a vehicle on a travel path, a width of the travel path is determined based on a map. Upon detecting a presence or an absence of a target vehicle in the travel path, a lateral position for the vehicle on the travel path is determined based on the width of the travel path and the presence or absence of the target vehicle. The vehicle is controlled to operate according to the determined lateral position on the travel path and a speed of the vehicle that is based on the determined lateral position on the travel path.

Embodiments of the disclosure disclose a method for a vehicle avoiding an obstacle, an electronic device, and a computer storage medium, and relates to a field of unmanned driving technologies. The detailed implementation includes: obtaining size information of a vehicle; obtaining a safe distance in a traveling direction of the vehicle; determining an obstacle screening area of the vehicle at least based on the size information and the safe distance; and determining an obstacle avoiding path of the vehicle in response to determining that the obstacle is located in the obstacle screening area. With the technical solution of the disclosure, higher efficiency obstacle avoiding can be realized.

An object-tracking method includes using the velocity of a track for tracking an object, generated from a point cloud related to the object, in a current recognition period to obtain a current velocity-based heading angle of the track. The method includes accumulating scores associated with information about the current velocity-based heading angle and incorporating the accumulated scores into a heading history having regions sectioned for respective heading angles of the track. The method includes obtaining a history-based heading angle of the track using the heading history, correcting the history-based heading angle using information about the shape of the track, and determining the result of correction to be a final heading angle in the current recognition period.

A vehicle control device performs first control for causing a vehicle to perform lane change to a fourth lane adjacent to a third lane by causing the vehicle to pass through an area between a first other vehicle and a second other vehicle in a traveling direction and an area between a third other vehicle and a fourth other vehicle in the traveling direction, when it is determined that a relationship between the first other vehicle and the vehicle satisfies a first condition, a relationship between the second other vehicle and the vehicle satisfies a second condition stricter than the first condition, a relationship between the third other vehicle and the vehicle satisfies a third condition stricter than the first condition, and a relationship between the fourth other vehicle and the vehicle satisfies a fourth condition stricter than the second condition and the third condition.

Systems and methods use cameras to provide autonomous navigation features. In one implementation, a driver-assist object detection system is provided for a vehicle. One or more processing devices associated with the system receive at least two images from a plurality of captured images via a data interface. The device(s) analyze the first image and at least a second image to determine a reference plane corresponding to the roadway the vehicle is traveling on. The processing device(s) locate a target object in the first two images, and determine a difference in a size of at least one dimension of the target object between the two images. The system may use the difference in size to determine a height of the object. Further, the system may cause a change in at least a directional course of the vehicle if the determined height exceeds a predetermined threshold.

Systems and methods use cameras to provide autonomous navigation features. In one implementation, a driver-assist object detection system is provided for a vehicle. One or more processing devices associated with the system receive at least two images from a plurality of captured images via a data interface. The device(s) analyze the first image and at least a second image to determine a reference plane corresponding to the roadway the vehicle is traveling on. The processing device(s) locate a target object in the first two images, and determine a difference in a size of at least one dimension of the target object between the two images. The system may use the difference in size to determine a height of the object. Further, the system may cause a change in at least a directional course of the vehicle if the determined height exceeds a predetermined threshold.

A system includes a computer including a processor and a memory, the memory storing instructions executable by the processor to determine respective threat numbers for each of a plurality of targets based on an angular acceleration of a host vehicle and actuate a component in the host vehicle based on the threat numbers.

An acquisition unit acquires data regarding a travel trajectory of another vehicle from the other vehicle. A specifying unit specifies an intersection position between the travel trajectory of the other vehicle and a travel trajectory of a self-vehicle. A setting unit setts a region based on the intersection position and the travel trajectory of the other vehicle as a monitoring region when performing driving assistance. A determination unit determines whether or not to update the monitoring region based on a result of comparison between first data that is the data used to set the monitoring region and second data that is the data acquired from the other vehicle traveling in the monitoring region. The setting unit updates the monitoring region based on the second data in a case where the determination unit determines to update the monitoring region.

A device and method for preventing blind spot collision based on vehicle-to-vehicle communication. The method includes detecting a forward vehicle, requesting vehicle-to-vehicle communication with the forward vehicle, receiving image data and ultrasound data of the forward vehicle, analyzing information about a moving object in a blind spot formed by the forward vehicle, based on the image data and the ultrasound data, calculating a possibility of collision with the moving object based on the information about the moving object, and performing one or both of warning notification and collision avoidance control based on the possibility of collision.

A system described herein may generate one or more models based on relationship data associated with multiple objects. The models may include one or more thresholds (e.g., which may indicate potential collisions between objects). The system may compare relationship data, associated with a particular vehicle and a particular object, with the one or more thresholds associated with the one or more models, and determine whether the relationship data associated with the particular vehicle and the particular object is rare data with respect to the one or more models. When the relationship data associated with the particular vehicle and the particular object is not rare data, the system may refraining from causing the particular vehicle to perform a collision prevention measure, and when the relationship data associated with the particular vehicle and the particular object is rare data, the system may cause the particular vehicle to perform the collision prevention measure.