A non-transitory computer readable storage medium has instructions executed by a processor to obtain the relative speed between a first traffic object and a second traffic object. The separation distance between the first traffic object and the second traffic object is received. The relative speed and the separation distance are combined to form a quantitative measure of hazard encountered by the first traffic object. The obtain, receive and combine operations are repeated to form cumulative measures of hazard associated with the first traffic object. The cumulative measures of hazard are analyzed to derive a first traffic object safety score for the first traffic object.

An apparatus and a method for controlling vehicle driving are provided. The apparatus includes a sensor that detects a first steering angle and a lane of a first vehicle and senses a second vehicle traveling in an opposite lane. A communication device receives a second steering angle of the second vehicle and a controller determines whether the first steering angle and the second steering angle are changed. The controller determines which of the vehicles enters a curved road based on a determination result and operates the vehicle which does not enter the curved road to decelerate.

Embodiments of the present disclosure disclose a method and apparatus for avoidance control of a vehicle, an electronic device, and a storage medium, where the method includes: obtaining behavior information of a moving obstacle, where the moving obstacle is located in a direction of movement of the vehicle and a distance between the moving obstacle and the vehicle satisfies a preset avoidance distance; determining an avoidance strategy for the vehicle based on the behavior information of the moving obstacle; and controlling movement of the vehicle based on the avoidance strategy. The method in the embodiments of the present disclosure considers the behavior information of the moving obstacle in the process of avoidance control of the vehicle, and the vehicle can be controlled to travel when the moving obstacle takes an avoidance action, thereby improving the accuracy of avoidance for the vehicle and the practicality of intelligent driving.

A control system (10) is suitable for use in one's own motor vehicle (12) and is configured and intended to use the environmental data provided to determine a position and a speed of a first motor vehicle (28) which is traveling directly ahead of one's own motor vehicle (12) in a first Lane (36), wherein one's own motor vehicle (12) is in the said lane (36). Furthermore, the control system is at least configured and intended to determine a position and a speed of a second motor vehicle (30) which is traveling in a lane (38) adjacent to the first lane (36) from the environmental data provided. Furthermore, the control system is configured and intended to detect from the environmental data provided whether there is a zipper situation. The control system is configured and intended to increase a target distance of one's own motor vehicle (12) to the first motor vehicle, if an amount of a relative speed of the second motor vehicle (30) relative to one's own motor vehicle (12) or relative to the first motor vehicle (28) is less than a predetermined first value, if the second motor vehicle (30) is located between one's own motor vehicle (12) and the first motor vehicle (28) in a longitudinal direction which extends along the adjacent lane (38), and if it was detected that the zipper situation applies.

Techniques for determining vehicle trajectories to operate a vehicle according to a planned path are described herein. In an example, a vehicle computing system may determine a location of the vehicle at a first time. Based on the location, the vehicle computing system may determine an estimated location of the vehicle at a second time, the estimated location of the vehicle including a lateral coordinate and a longitudinal coordinate. The vehicle computing system may determine the longitudinal coordinate based on a vehicle trajectory associated with the first time (e.g., previously determined trajectory) and the lateral coordinate based on the planned path. The vehicle computing system may determine a second vehicle trajectory based in part on the estimated location and the first trajectory, and may control the vehicle according to the second vehicle trajectory.

A method for the automatic control of the longitudinal dynamics of a vehicle is provided by which vehicles traveling ahead are detected. If an upcoming traffic jam is detected, the vehicle is decelerated until a predefined distance behind the tail end of the traffic jam is reached. When the predefined distance from the traffic jam tail end has been reached, the vehicle automatically controlled in its longitudinal dynamics is able to close the remaining, predefined distance to the traffic jam tail end at a low differential velocity in comparison to the velocity of the traffic jam tail end. Using an additional rear sensor system that senses trailing vehicles, the controlled vehicle is made to close the distance to the traffic jam tail end only if a trailing vehicle was detected.

A vehicle speed control device 1 mounted in a vehicle comprises: a forward detection unit 121 that obtains the amount of time until a vehicle V.sub.b to be overtaken that is traveling to the side of a host vehicle V.sub.a, in which the vehicle speed device 1 is mounted, is overtaken; a rearward detection unit 122 that obtains the amount of time until the distance between the host vehicle V.sub.a and a following vehicle V.sub.c traveling rearward of the host vehicle V.sub.a reaches a prescribed rearward distance; and a speed control unit 123 that increases the speed of the host vehicle V.sub.a when the time until overtaking occurs is greater than the time until the prescribed rearward distance is reached.

The present invention relates to a parking assistance device, and includes: a surrounding detection part detecting surrounding information of a vehicle which is to be parked to detect a parking space where the vehicle can be parked; a parking route generation part generating a traveling route from a current position of the vehicle to the parking space; a travel controller making the vehicle travel to the parking space along the traveling route; an obstacle detection part detecting an obstacle around the vehicle; and a parking route regeneration part generating a new traveling route to avoid a collision between the vehicle and the obstacle and park the vehicle in the parking space in a case where the travel controller makes the vehicle travel to the parking space along the traveling route, wherein the travel controller makes the vehicle travel along the new traveling route when the new traveling route is generated.

A vehicle control device that controls traveling of a vehicle, the vehicle control device comprises: an acquisition unit configured to acquire information of a periphery of the vehicle; and a control unit configured to, based on the information that the acquisition unit acquired, determine whether or not another vehicle, which travels in one of a plurality of traffic lanes of a merging path that merges into a traffic lane that the vehicle is traveling in, will merge into the traffic lane, and based on the determination, control travel of the vehicle.

In one embodiment, a method, apparatus, and system for planning the trajectory of an autonomous driving vehicle (ADV) in view of an object within a buffer area in front of the ADV is disclosed. A buffer area in front of an ADV is identified. A first object of one or more objects that have entered the buffer area is identified. A first distance cost and a first relative speed cost associated with the first object are determined. A first object cost associated with the first object is determined based on a combination of the first distance cost and the first relative speed cost. A trajectory for the ADV is planned based at least in part on a cost function comprising the first object cost, where the cost function is minimized in the planning. Control signals are generated to drive the ADV based on the planned trajectory.