An autonomous vehicle (AV) includes features that allows the AV to comply with applicable regulations and statues for performing safe driving operation. An example method for operating the AV includes determining a trajectory related information of a vehicle operating on a roadway on which the AV is operating; receiving sensor data of a first area that includes the vehicle; determining an additional trajectory related information for the AV by comparing the trajectory related information of the vehicle to a current trajectory related information of the AV, wherein the additional trajectory related information is based on a category to which the vehicle belongs, and wherein the additional trajectory related information allows the AV to maintain at least a distance between the AV and the vehicle; and causing the AV to operate in accordance with the additional trajectory related information.

Techniques for vehicle deceleration planning are discussed. The techniques include determining a first location and a first velocity of a vehicle. The techniques further include determining a second location and a second velocity of an object. Based on the first location, the second location, the first velocity, and the second velocity, a relative stopping distance between the vehicle and the object can be determined. If the relative stopping distance is less than a threshold distance, the first maximum deceleration value can be increased to a second maximum deceleration value, and the techniques determine a trajectory for the vehicle based at least in part on the second maximum deceleration value.

A vehicle control device includes a travel environment recognition device configured to recognize travel environment, a vehicle travel state detection device, and an autonomous/manual driving mode controller. The autonomous/manual driving mode controller includes a learning correction unit configured to store at least one of a plurality of control parameters indicating the vehicle travel state by operation of the driver in the autonomous driving mode, and to correct the control parameter in the autonomous driving mode according to the stored control parameter. When the stored control parameter is the control parameter changed by an operation by the driver midway in passing or after passing, the learning correction unit is configured to correct the control parameter in the autonomous driving mode so that an acceleration level or the deceleration level is increased midway in passing or after passing.

A velocity trajectory generation method and apparatus, and a storage medium are provided. The method includes: setting starting point time, intermediate point time and terminal point time of a velocity trajectory to be generated, wherein the velocity trajectory includes a first velocity sub-trajectory and a second velocity sub-trajectory; generating multiple first velocity sub-trajectories corresponding to a starting point velocity between the starting point time and the intermediate point time, according to the starting point velocity and multiple intermediate point velocities; and generating, for each of the first velocity sub-trajectories, multiple second velocity sub-trajectories between the intermediate point time and the terminal point time according to multiple terminal point velocities. A velocity trajectory which is more in line with a human driving characteristic may be generated, the comfort level of a passenger may be improved, and an algorithm may be simplified.

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.

A method of improving a merging efficiency of an ego vehicle is described. The method includes determining one or more merge gaps between vehicles in a target lane of a multilane highway. The method also includes computing an exposure time in which the ego vehicle is specified to merge into the one or more merge gaps. The method further includes selecting a merge gap between a first vehicle and a second vehicle in the target lane of the multilane highway having a maximum exposure time.

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.

Systems and methods are provided for vehicle navigation. In one implementation, a system for a host vehicle includes at least one processor programmed to determine, based on an output of at least one sensor of the host vehicle, one or more target dynamics of a target vehicle; determine, based on one or more host dynamics of the host vehicle and the target dynamics, a time to collision; determine, based on the time to collision and the host dynamics, a host deceleration for the host vehicle to avoid the collision; determine, based on the time to collision and the target dynamics, a target deceleration for the target vehicle to avoid the collision; determine, based on the host deceleration and the target deceleration, a host deceleration threshold; and determine, based on a speed of the host vehicle and the host deceleration threshold, to brake the host vehicle.

A controller and a control method are capable of improving safety by automatic emergency deceleration action while suppressing a motorcycle from falling over. One arrangement also obtains a brake system that includes such a controller. In the controller, the control method, and the brake system, a control mode that causes the motorcycle to take the automatic emergency deceleration action is initiated in response to trigger information generated in accordance with peripheral environment of the motorcycle. In the control mode, automatic emergency deceleration that is deceleration of the motorcycle generated by the automatic emergency deceleration action is controlled in accordance with a lean angle of the motorcycle.

A regenerative braking control method and a regenerative braking control device of the present invention control a drive source that generates a regenerative brake force in such a manner that an upper limit of regenerative deceleration when a driver executes manual control becomes smaller than an upper limit of regenerative deceleration when automatic control is executed.