The present disclosure relates to an apparatus for controlling the motion of a vehicle to improve riding comfort, and a method thereof. According to an embodiment of the present disclosure, a processor may determine a boarding location for a user and may determine a vehicle control signal in consideration of riding comfort according to acceleration or jerk based on the boarding location. A controller may control the vehicle depending on the vehicle control signal.

The disclosure relates to a method for compensating a yaw moment acting on a vehicle which is caused by asymmetrical braking forces on at least one vehicle axle. In the method, at least one vehicle-related condition is queried after initiation of a braking operation, a yaw variable present on the vehicle is detected, the value of the detected yaw variable is compared with a yaw variable limit value, a corrective steering angle is determined depending on the difference and/or the change in the difference between the value of the detected yaw variable and the yaw variable limit value, taking into account the sign of the yaw variable, and, lastly, a corrective steering angle is automatically set on at least one vehicle wheel of a steered vehicle axle. The disclosure also relates to an apparatus for compensating a yaw moment acting on a vehicle.

Techniques are described herein for generating trajectories for autonomous vehicles using velocity-based steering limits. A planning component of an autonomous vehicle can receive steering limits determined based on safety requirements and/or kinematic models of the vehicle. Discontinuous and discrete steering limit values may be converted into a continuous steering limit function for use during on-vehicle trajectory generation and/or optimization operations. When the vehicle is traversing a driving environment, the planning component may use steering limit functions to determine a set of situation-specific steering limits associated with the particular vehicle state and/or driving conditions. The planning component may execute loss functions, including steering angle and/or steering rate costs, to determine a vehicle trajectory based on the steering limits applicable to the current vehicle state.

A vehicle drive system for a vehicle including a first prime mover, a first prime mover driven transmission, and a rechargeable power source can be configured for reduced fuel consumption at idle. The vehicle drive system includes an electric motor in direct or indirect mechanical communication with the first prime mover. The control system causes fuel to be eliminated to the first prime mover while the vehicle is stopped and causes the electric motor to rotate the first prime mover at a speed, thereby reducing fuel consumption at idle for the vehicle.

A vehicle and an adaptive cruise control system, ACC, is provided. The ACC system includes a control unit configured to control a steering angle of said vehicle in relation to detected road lanes and/or road markings. The ACC system further includes a steering wheel arranged to allow the provision of manual steering input to the steering system of the vehicle and a steering angle sensor. The steering system is configured to identify a steering wheel jerk, performed as a clockwise- and counter-clockwise actuation of the steering wheel within a predetermined time range and to steer the host vehicle from a first, current, road lane to a second road lane based on the identified jerk as indicated by the steering angle sensor.

There is provided a portable electronic monitoring device for providing an in-vehicle user warning system about how a semi-autonomous vehicle is being driven autonomously during a driving period. The device is removably and securely mountable to the vehicle and comprises: a sensor set comprising at least one sensor for sensing an exterior environment outside of the vehicle and movement of the vehicle within the exterior environment, an interface for receiving user input commands and delivering a warning output; and a processor operatively connected to the sensor set and the interface; wherein the sensor set is configured to monitor the automatic operation of the semi-autonomous vehicle within the exterior environment during the driving period and to generate sensor data representing driving events concerning the automated driving behaviour of the vehicle with respect to the exterior environment occurring during the driving period. The processor is configured to: process the sensor data during the driving period to compare the detected automated driving behaviour of the vehicle in the external environment with a model of expected automated vehicle driving behaviour for a particular driving event; identify a dangerous driving event, if the detected automated driving behaviour deviates beyond a threshold from the expected automated vehicle driving behaviour; and if a dangerous driving event has been detected, generate a warning alert via the interface to alert the driver to the occurrence of the dangerous driving event.

Disclosed are a drive-by-wire chassis cyber-physical system under an intelligent traffic environment and a control method. The system includes: an SoS-level CPS, a system-level CPS, and a unit-level CPS, data transmission is realized between a plurality of unit-level CPSs and one system-level CPS, and data transmission is realized between a plurality of system-level CPSs and one SoS-level CPS. The system integrates a hub motor with a suspension, cancels traditional structures such as an engine and a clutch, and simplifies the structure of a chassis. A motor directly drives a vehicle to run, and different driving, braking or torque is applied to different wheels through four hub motors, so as to meet independent control of the wheels and improve active safety and operational stability.

A computer includes a processor and a memory storing instructions executable by the processor to identify a virtual boundary between a host roadway lane of a host vehicle and a target roadway lane of a target vehicle, the virtual boundary based on a predicted path of the target vehicle, determine a first constraint value based on a boundary approach velocity of the target vehicle, determine a second constraint value based on (1) a boundary approach velocity of the host vehicle and (2) a boundary approach acceleration of the host vehicle and perform a threat assessment of a collision between the host vehicle and the target vehicle upon determining that the first constraint value violates a first threshold or the second constraint value violates a second threshold.

A method of optimizing fuel economy and reduced noise and vibration levels in a vehicle includes one or more of the following steps: evaluating an engine speed and a speed of the vehicle, determining if the engine speed and the speed of the vehicle produces a noise level that causes a potential customer complaint, monitoring the noise level in the vehicle, calculating the engine operating condition that causes the noise level, determining if the noise level is above a threshold, adjusting an engine torque or a slip condition of a torque converter for optimal vehicle fuel economy if the noise level is at or below the threshold, and, if the noise level is above the threshold, adjusting the engine torque or the slip condition of the torque converter such that the noise level is at or below the threshold.

Systems and methods for a moveable cover panel of an autonomous vehicle is provided. A vehicle can include a front panel disposed proximate to the front end of the passenger compartment, a vehicle motion control device located at the front panel, and a cover panel located at the front panel. The cover panel moveable relative to the front panel between an isolating position and an exposing position. The cover panel can isolate the vehicle motion control device from the passenger compartment when in the isolating position and expose the vehicle motion control device to the passenger compartment when in the exposing position. A method can include obtaining vehicle data identifying an operational mode, state, and/or status of the vehicle, determining a first position of the cover panel, and initiating a positional change for the cover panel based on the vehicle data and the first position.