An apparatus is mounted on a vehicle that is autonomously driven and that is used for passenger transportation. The apparatus includes: a processor; and a memory storing thereon a computer program. When executed by the processor, the program causes the processor to perform operations including: selecting a target person who is at least one of humans who are present around the vehicle and are detected using sensing information about surroundings of the vehicle; acquiring a first state indicating a state of the selected target person; acquiring a second state indicating a state of the vehicle changing a speed setting of the vehicle in accordance with the first state and the second state; and controlling traveling of the vehicle at a speed indicated by the speed setting.

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.

The disclosure includes embodiments of a lane change timing indicator for a connected vehicle. In some embodiments, a method includes determining a time and a path for an ego vehicle to change lanes. In some embodiments, the method includes displaying, on an electronic display device of the ego vehicle, one or more graphics that depict the time and the path.

Collision avoidance assist apparatus comprises an object information acquiring apparatus for acquiring, as object information, information on a three-dimensional object as well as dividing lines defining a travelling lane in front of a vehicle, and a control unit configured to, when a collision possibility with a three-dimensional object is high, identify this object as a target object. When one of the dividing lines has been detected without any discontinuation in a predetermined region as well as a part of an other dividing line has not been detected therein, if the control unit determines, based on the object information, that a second condition which is satisfied when the target object is positioned on the other dividing line and is moving in a same direction as an extending direction is satisfied and an avoidance route exists, the control unit performs automatic steering control so that the vehicle travels along the avoidance route.

A vehicle control device mounted on a first vehicle and capable of causing the first vehicle to travel by automated driving, includes a trajectory information obtaining unit configured to obtain information pertaining to a travel trajectory of a second vehicle behind the first vehicle; and a control unit configured to control a position of the first vehicle to a side opposite from the travel trajectory in a road width direction on the basis of the information obtained by the trajectory information obtaining unit.

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.

An example operation includes one or more of receiving data, by a transport, from a device in proximity to the transport, the data comprises one or more of a speed, a direction, and a distance of the device from the transport, determining, by the transport, a dangerous situation based on the data, obtaining consensus, by the transport, to validate the dangerous situation from one or more of: one or more other devices proximate to the transport, and one or more other transports proximate the transport, and notifying the device, by the transport, based on the consensus, the notification comprises the dangerous situation.

Systems and methods are provided for navigating a host vehicle. A processing device may be programmed to receive an image representative of an environment of the host vehicle; determine a planned navigational action for the host vehicle; analyze the image to identify a target vehicle travelling toward the host vehicle; determine a next-state distance between the host vehicle and the target vehicle that would result if the planned navigational action taken; determine a stopping distance for the host vehicle based on a braking rate, a maximum acceleration capability, and a current speed of the host vehicle; determine a stopping distance for the target vehicle based on a braking rate, a maximum acceleration capability, and a current speed of the target vehicle; and implement the planned navigational action if the determined next-state distance is greater than a sum of the stopping distances for the host vehicle and the target vehicle.

A collision mitigation apparatus configured to mitigate a shock to an occupant of a vehicle when a rearward vehicle collides into the vehicle from behind, including a driving unit generating a driving force, and an electronic control unit having a microprocessor and a memory. The microprocessor is configured to perform predicting whether the rearward vehicle collides into the vehicle, and controlling the driving unit so that when it is predicted that the rearward vehicle collides into the vehicle, a difference between a vehicle speed of the vehicle and a vehicle speed of the rearward vehicle reduces and a driving force of a rear wheel is greater than a driving force of a front wheel immediately before the rearward vehicle collides into the vehicle.

Systems and methods are provided for navigating a host vehicle. At least one processing device may be programmed to receive an image representative of an environment of the host vehicle; determine a planned navigational action for the host vehicle; analyze the image to identify a target vehicle in the environment of the host vehicle; determine a next-state lateral distance between the host vehicle and the target vehicle that would result if the planned navigational action was taken; determine a lateral braking distance for the host vehicle and the target vehicle based on a maximum yaw rate capability, a maximum change in turn radius capability, and a current lateral speed of the host vehicle and the target vehicle; and implement the planned navigational action if the determined next-state distance is greater than a sum of the lateral braking distances for the host vehicle and the target vehicle.