The present disclosure relates to a method performed by an intention indicating system of a vehicle, for indicating to a potential observer an ongoing or impending autonomous kinematic action of the vehicle. The intention indicating system determines an ongoing or impending autonomous kinematic action of the vehicle. The intention indicating system further provides, with support from a light providing device including one or more light sources adapted to emit light, which light providing device is provided continuously and/or intermittently along a majority of a horizontal circumference of the vehicle, a visual light output visible at least from an outside of said vehicle representing the autonomous kinematic action. The disclosure also relates to an intention indicating system in accordance with the foregoing, and further to a vehicle including such an intention indicating system.

The present disclosure relates to a method performed by an intention indicating system of a vehicle, for indicating to a potential vehicle occupant thereof an ongoing or impending autonomous kinematic action of the vehicle. The intention indicating system determines an ongoing or impending autonomous kinematic action of the vehicle. The intention indicating system further provides, with support from a light providing device including one or more light sources adapted to emit light, which light providing device is provided continuously and/or intermittently along a majority of a horizontal circumference of the vehicle, a visual light output visible at least from an inside of said vehicle representing the autonomous kinematic action. The disclosure also relates to an intention indicating system in accordance with the foregoing, and further to a vehicle including such an intention indicating system.

A method for assisting a vehicle to tilt includes: receiving a first torque instruction output by a throttle assembly, and generating a second torque instruction, in which the first torque instruction is determined based on a manipulation degree applied to the throttle assembly, and the second torque instruction is determined based on attitude information of the vehicle; performing a weighted summation on the first torque instruction and the second torque instruction based on a first proportional coefficient of the first torque instruction and a second proportional coefficient of the second torque instruction to obtain a third torque instruction; and outputting the third torque instruction to a motor controller, and controlling a tilt angle of the vehicle by the motor controller based on the third torque instruction, in which the tilt angle of the vehicle is less than or equal to a target angle threshold.

Provided is an apparatus for controlling a vehicle, the apparatus including: a communicator configured to receive a setting value signal related to at least one of a first setting value, a second setting value, or a third setting value that are set in advance from a user terminal, and transmit a signal to the user terminal; and a controller configured to control at least one of a travelling device, a braking device, or a steering device based on the at least one of the first setting value, the second setting value, or the third setting value that are set in advance.

Methods and systems for reducing vehicle and animal collisions. One system includes an electronic processor configured to receive vehicle data. The electronic processor is also configured to determine a collision risk of the vehicle based on the vehicle data, the collision risk representing a probability of a collision between the vehicle and an animal. The electronic processor is also configured to adjust a collision parameter of the vehicle based on the collision risk. The electronic processor is also configured to identify when an animal is in a path of the vehicle based on the vehicle data. The electronic processor is also configured to, when an animal is identified in the path of the vehicle, automatically perform a vehicle operation based on the adjusted collision parameter.

A damping control system for a vehicle having a suspension located between a plurality of ground engaging members and a vehicle frame includes at least one adjustable shock absorber having an adjustable damping profile.

A method to generate an autonomous driving route of an autonomous vehicle includes: receiving an input image of a front view captured from the autonomous vehicle; calculating a gradient between the autonomous vehicle and a ground based on the input image; and generating the autonomous driving route based on the calculated gradient.

A vehicle attitude control apparatus is provided in which an active suspension device of each wheel has a mass body arranged between a sprung mass and an unsprung mass of a vehicle, and upper and lower actuators each configured to generate an actively generated force acting on the sprung and unsprung masses, respectively, by applying urging forces to the masses, and a control unit calculates a target braking/driving force of each braking/driving device for achieving target motion state quantities of the vehicle, target actively generated forces of the upper and lower actuators, and controls a braking/driving device and the upper and lower actuators, so that the target braking/driving force and the target actively generated forces of the upper and lower actuators are achieved.

A driving force control method controls driving force distribution to each of a first driving source connected to front wheels and a second driving source connected to rear wheels so that a pitch angle of a vehicle behaves as desired. The method includes setting a pitch rate during starting of the vehicle to a corrected pitch rate different from a predetermined basic pitch rate, wherein the basic pitch rate is determined according to basic driving force distribution for achieving desired vehicle characteristics of the vehicle, and the corrected pitch rate is determined so as to adjust a feeling of acceleration of an occupant of the vehicle according to a change in a requested acceleration of the vehicle.

A motion planner of an autonomous vehicle's computer system uses reconfigurable collision detection architecture hardware to perform a collision assessment on a planning graph for the vehicle prior to execution of a motion plan. For edges on the planning graph, which represent transitions in states of the vehicle, the system sets a probability of collision with a dynamic object in the environment based at least in part on the collision assessment. Depending on whether the goal of the vehicle is to avoid or collide with a particular dynamic object in the environment, the system then performs an optimization to identify a path in the resulting planning graph with either a relatively high or relatively low potential of a collision with the particular dynamic object. The system then causes the actuator system of the vehicle to implement a motion plan with the applicable identified path based at least in part on the optimization.