Embodiments of the present disclosure disclose a method for controlling an autonomous vehicle to pass through a curve, a device and a medium, and relate to the field of autonomous driving technologies. At least one implementation of the method for controlling an autonomous vehicle to pass through a curve includes: determining a curve boundary within a sensing area in a current driving direction of the autonomous vehicle based on a current position of the autonomous vehicle on the curve; determining a current safe stopping distance of the autonomous vehicle on the curve based on current driving parameters of the autonomous vehicle and the curve boundary; determining a speed threshold of the autonomous vehicle based on the current safe stopping distance, braking parameters of the autonomous vehicle and a curve curvature corresponding to the current position; and controlling a speed of the autonomous vehicle not to exceed the speed threshold.

A device for determining the length of a vehicle combination comprises an input interface for receiving current driving dynamics data, in particular information regarding the current travel path of the towing vehicle, and a comparison unit for comparing the received current driving dynamics data with stored patterns of driving dynamics data that are typical for driving with a trailer of known dimensions, and an evaluation unit, which derives the length of the vehicle combination from the differences between the current driving dynamics data and the stored typical patterns of driving dynamics data. The device can use the sensors in the towing vehicle for obtaining the current driving dynamics data. Without additional hardware, a length of the vehicle combination, e.g. the length of a trailer connected to a towing vehicle, can be determined in this manner.

A lead vehicle (1) in an adaptive cruise control system that non-mechanically connects a following vehicle (2) to the lead vehicle (1) sequentially and that causes the following vehicle (2) to follow its immediately preceding vehicle calculates vehicle velocity limit (V1.sub.max) for limiting a velocity of the lead vehicle (1) based on maximum allowable vehicle velocity (V2.sub.max) of the following vehicle (2), maximum allowable vehicle velocity (V2.sub.max) satisfying a turning performance of the following vehicle (2), and controls a brake apparatus and a drive apparatus such that the velocity of the lead vehicle (1) will not exceed vehicle velocity limit (V1.sub.max).

A system may comprise one or more processors, and a memory storing instructions that, when executed by the one or more processors, causing the system to perform receiving, from a first sensor coupled to a front part of a vehicle, a first set of sensor data that include data of a first edge of a body part, or from a second sensor coupled to the front part of the vehicle, a second set of sensor data that include data of a second edge of the body part. The system may perform calculating, based on the first or second set of the sensor data, location of the first edge or the second edge of the body part relative to the front part, and determining whether the relative location of the first edge or the second edge is within an expected location range. The system may perform sending a notification that driving adjustment of the vehicle is required if the relative location is outside the expected location range.

A method for operating a driver assistance system for a two-wheeled vehicle, which is characterized in that in an intervention step, the driver assistance system intervenes as a function of a driver-specific driving-dynamics profile and an instantaneous driving state, the driving-dynamics profile reflecting a relationship between inclined-position values at which a driver of the two-wheeled vehicle drove in the past and acceleration values at which he drove at the same time, and the driving state being characterized by an instantaneously acquired acceleration value and an instantaneously acquired inclined-position value.

A control method and a control device are provided for autonomously controlling a host vehicle when turning across an oncoming lane at an intersection with a signal light being green. A determination is made as to whether or not the host vehicle can make a right or left turn while a signal light is still green at a time of the right or left turn, either while the host vehicle in the left lane is waiting in a row of vehicles to make the right turn or while the host vehicle traveling in the right lane is waiting in a row of vehicles to make the left turn at an intersection during travel under autonomous driving. The host vehicle then creeps forward to a start position for starting at a next time the signal light is green upon determining the right or left turn cannot be made.

The present invention discloses an intelligent vehicle platoon lane change performance evaluation method. First, an intelligent vehicle platoon lane change performance test scenario is established; secondly, a three-degree of freedom nonlinear dynamics model is established according to motion characteristics of intelligent vehicles in a platoon lane change process; further, an improved adaptive unscented Kalman filter algorithm is utilized to perform filter estimation on state variables of positions and velocities of platoon vehicles; and finally, based on accurately recursive vehicle motion state parameters, evaluation indexes for platoon lane change performance are proposed and quantified, and an evaluation system for platoon lane change performance is constructed. According to the method proposed in the present invention, the problem of lacking platoon lane change performance quantitative evaluation at present is solved, vehicle motion state parameters can be measured in a high-precision and comprehensive manner, multi-dimensional platoon lane change performance evaluation indexes are quantified and output, and comprehensive, accurate, and reliable scientific quantitative evaluation for platoon lane change performance is achieved.

The present invention obtains a controller and a control method capable of appropriately assisting with driving by a rider.

In the controller and the control method according to the present invention, an acquisition section of a controller (60) acquires lateral acceleration information of a traveling straddle-type vehicle (100), and in a control mode in which behavior control operation to make the straddle-type vehicle (100) automatically decelerate or automatically accelerate is performed, an execution section of the controller (60) changes the behavior control operation according to the lateral acceleration information.

A controller and a control method capable of appropriately assisting with a rider's operation while suppressing falling of a motorcycle, departure of the motorcycle from a lane, a difficulty of the motorcycle in adaptive cruise, and the like is disclosed. In the controller and the control method according to the present invention, in a control mode to make the motorcycle perform autonomous cruise acceleration operation, automatic acceleration that is acceleration generated to the motorcycle by the autonomous cruise acceleration operation is controlled in accordance with a lean angle of the motorcycle.

A travel control device for a vehicle, includes: a lane information acquisition unit configured to acquire lane information; a steering control unit configured to control steering of the vehicle by executing lane travel control to make the vehicle travel along the lane; and a vehicle speed control unit configured to control a vehicle speed by executing constant speed travel control in which the vehicle is made to travel at a set vehicle speed and/or adaptive cruise control in which the vehicle is made to travel at a speed equal to or lower than the set vehicle speed so as to follow a preceding vehicle. The vehicle speed control unit is configured to control the vehicle speed during a turn of the vehicle by setting a vehicle speed upper limit value, which is set to different values depending on whether the lane travel control is being executed.