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 yaw rate 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 yaw rate information.

An embodiment device for controlling autonomous driving includes a roll angle estimated value calculation device configured to calculate a roll angle estimated value of a vehicle based on a height of a center of gravity of the vehicle, a sprung mass, a spring constant of a suspension, a target speed, and a target turning radius, and a controller configured to compare a roll angle of the vehicle with a preset reference roll angle to adjust the target speed or the target turning radius of the vehicle.

Obstacles located in an external environment of a vehicle can be classified. At least a portion of the external environment can be sensed using one or more sensors to acquire sensor data. An obstacle candidate can be identified based on the acquired sensor data. An occlusion status for the identified obstacle candidate can be determined. The occlusion status can be a ratio of acquired sensor data for the obstacle candidate that is occluded to all acquired sensor data for the obstacle candidate. A classification for the obstacle candidate can be determined based on the determined occlusion status. A driving maneuver for the vehicle can be determined at least partially based on the determined classification for the obstacle candidate. The vehicle can be caused to implement the determined driving maneuver. The vehicle can be an autonomous vehicle.

A vehicle controller applies a braking force to wheels using a hydraulic braking force generating mechanism and sets a vehicle driving torque, which is generated by an engine, to a second torque which is smaller than a first torque in a normal state, when a switch is switched to an ON state in a state in which a vehicle is traveling and an accelerator is turned on. Then vehicle stops, the vehicle controller implements an EPB mechanical operating state using a mechanical parking brake mechanism. When the switch is switched to an OFF sate, the vehicle controller maintains the EPB mechanical operating state until an accelerator pedal operating level reaches “0,” and maintains the vehicle driving torque at the second torque. Then the accelerator pedal operating level reaches “0”, the EPB mechanical operating state is released and the vehicle driving torque is returned to the first torque.

A tire longitudinal stiffness estimation system includes an electronic communication system disposed on a vehicle. A sensor is disposed on the vehicle in communication with the electronic communication system, and a processor is accessible through the electronic communication system. The sensor measures parameters associated with the vehicle and communicates data for the parameters to the processor. A mu slip curve generator receives the parameters to generate a mu slip curve in real time from the data. An extraction module extracts raw data from a linear portion of the mu slip curve. A denoising module de-noises the raw data from the mu slip curve by determining a vector for the raw data, an orientation of the vector, and a heading of the vector. The denoising module generates de-noised data, and a stiffness calculator receives the de-noised data and generates a longitudinal stiffness estimate for the tire.

A method is provided for controlling the speed of a vehicle that includes a drive train for driving the vehicle and a predetermined preferred speed set. The method includes determining whether or not a substantially constant speed of the vehicle is requested, if it is determined that a substantially constant speed is requested, determining whether the requested speed lies within or outside of the predetermined preferred speed set, and if it is determined that the requested speed lies outside of the predetermined speed set, automatically adjusting the speed of the vehicle to a vehicle speed that is within the predetermined speed set.

A control system for a vehicle for determining whether a trailer is attached to the vehicle, the system being configured to receive an input of pitch data for the vehicle and to determine from the pitch data whether a trailer is attached to the vehicle.

A method for monitoring a vehicle, the method may include measuring a speed of the vehicle to provide speed measurements; measuring, by at least one vibration sensor, vibrations of the vehicle to provide vibrations measurements; determining, based on the vibration measurements and speed measurements, an actual relationship between speed and vibrations of the vehicle; comparing between the actual relationship between the speed and vibrations of the vehicle and a reference relationship between speed and vibrations of the vehicle to provide a comparison result; and determining the quality of the driving based on the comparison result.

A method, device and computer-readable storage medium are provided for parking a self-balancing vehicle. The method includes: determining whether there is a target parking spot for parking a self-balancing vehicle when the self-balancing vehicle needs to be parked; controlling, when there is a target parking spot for parking the self-balancing vehicle, the self-balancing vehicle to park at the target parking spot.

An operating method for a vehicle includes driving in a manual mode, in which a longitudinal movement and a lateral movement are controlled by a human driver, and driving in an autonomous mode, in which the longitudinal movement and the lateral movement are controlled by an automated system. In the method, driving in semi-autonomous mode is activated from the autonomous mode by the human driver either resuming the longitudinal movement, such that the automated system continues to control the lateral movement, or resuming the lateral movement, such that the automated system continues to control the longitudinal movement. In the semi-autonomous mode, one or more automatic stop operations brake the vehicle when the human driver does not quickly resume control of the lateral movement and the longitudinal movement, which continues to be controlled by the automated system.