The present invention obtains a controller and a control method capable of appropriately stabilizing a posture of a straddle-type vehicle. In the controller and the control method according to the present invention, when the straddle-type vehicle jumps, automatic posture control for controlling the posture of the straddle type vehicle by increasing or reducing a rotational frequency of a wheel is executed in accordance with posture information at the time when the straddle-type vehicle jumps. Furthermore, in the case where it is determined whether a driver has intention to control the posture of the straddle-type vehicle at the time when the straddle-type vehicle jumps without relying on the automatic posture control and where it is determined that the driver has the intention, the automatic posture control is prohibited.

The present invention obtains a controller and a control method capable of appropriately stabilizing a posture of a straddle-type vehicle. In the controller and the control method according to the present invention, when the straddle-type vehicle jumps, automatic posture control for controlling the posture of the straddle type vehicle by increasing or reducing a rotational frequency of a wheel is executed in accordance with posture information at the time when the straddle-type vehicle jumps. Furthermore, in the case where it is determined whether a driver has intention to control the posture of the straddle-type vehicle at the time when the straddle-type vehicle jumps without relying on the automatic posture control and where it is determined that the driver has the intention, the automatic posture control is prohibited.

A method for use in traversing a vehicle transportation network by an autonomous vehicle (AV) includes traversing, by the AV, the vehicle transportation network. Traversing the vehicle transportation network includes identifying a distinct vehicle operational scenario; instantiating a first decision component instance; receiving a first set of candidate vehicle control actions from the first decision component instance; selecting an action; and controlling the AV to traverse a portion of the vehicle transportation network based on the action. The first decision component instance is an instance of a first decision component modeling the distinct vehicle operational scenario.

A tracking system has a first tracking module and a second tracking module, the position and/or orientation of which relative to each other can be determined by means of a sensor device of the tracking system to determine relative movements of a first vehicle part of a set of vehicles relative to a second vehicle part of the set of vehicles that is movably connected to the first vehicle part. The first tracking module is connected to the first vehicle part and the second tracking module is connected to the second vehicle part.

A tracking system has a first tracking module and a second tracking module, the position and/or orientation of which relative to each other can be determined by means of a sensor device of the tracking system to determine relative movements of a first vehicle part of a set of vehicles relative to a second vehicle part of the set of vehicles that is movably connected to the first vehicle part. The first tracking module is connected to the first vehicle part and the second tracking module is connected to the second vehicle part.

A traveling control system includes a first acquisition unit, a second acquisition unit, a path plan setter and a controller. The first a acquisition unit communicates with a cloud environment including an edge environment to acquire cloud information including traveling information of other vehicles from at least the edge environment. The second acquisition unit recognizes a traveling environment of an own vehicle and acquires own vehicle traveling information including the recognized traveling environment and a vehicle control state of the own vehicle. The path plan setter sets a path plan in automatic driving control to cause the own vehicle to travel automatically. The determines a need for changing the path plan and the automatic driving control based on the cloud information and controls traveling behavior of the own vehicle according to the need for a change based on the cloud information and the own vehicle traveling information.

A traveling control system includes a first acquisition unit, a second acquisition unit, a path plan setter and a controller. The first a acquisition unit communicates with a cloud environment including an edge environment to acquire cloud information including traveling information of other vehicles from at least the edge environment. The second acquisition unit recognizes a traveling environment of an own vehicle and acquires own vehicle traveling information including the recognized traveling environment and a vehicle control state of the own vehicle. The path plan setter sets a path plan in automatic driving control to cause the own vehicle to travel automatically. The determines a need for changing the path plan and the automatic driving control based on the cloud information and controls traveling behavior of the own vehicle according to the need for a change based on the cloud information and the own vehicle traveling information.

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.

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 travel control device includes: a risk level calculation unit configured to acquire a speed in a traveling direction of a vehicle, a speed of the vehicle in a horizontal direction perpendicular to the traveling direction, and an azimuth angular velocity of the vehicle and calculate a rollover risk level based on a lateral load transfer ratio (LTR) of the vehicle; a deceleration calculation unit configured to calculate deceleration indicating an extent to which to lower the speed in the traveling direction when an absolute value of the rollover risk level exceeds a threshold value; and a control unit configured to control a driving system of the vehicle using a value obtained by lowering a target speed of the vehicle on the basis of the deceleration as a new target speed.