The concepts described herein relate to a calculation of desired future longitudinal horizons related to torque or acceleration, and desired future lateral horizons related to yaw rate and lateral velocity, and their use in response to driver-selectable modes. In the longitudinal direction, driver inputs of pedal and brake position as well as drivability metrics are used to calculate the desired future torque trajectory. In the lateral direction, the front and rear steering angles may be used with a bicycle model to derive the trajectories. The trajectories are used in a vehicle motion controller that uses weighting to tradeoff competing requests and deliver performance that is consistent with a selected driver mode, such as a tour mode, a sport mode, an off-road mode, a trailering mode, etc.

A method for providing driving assistance by detecting and warning against areas on one or other side of the road which are obscured by vehicles in other lanes is based on a HD map and includes acquiring location and driving speed of a vehicle which is carrying an apparatus applying the method. The system of the method includes at least one sensor, and environmental information as to surroundings is acquired with location. The speeds of other vehicles relative to the driving speed of the vehicle are calculated, and an instruction to the driver is generated the speed of the vehicle is less than a first predefined value but the speed of the vehicle relative to the driving speeds of the other vehicles is larger than a second predefined value. The apparatus applying the method is also disclosed.

A vehicle driving assist apparatus acquires a collision index value which represents a magnitude of a collision of an own vehicle and a dozing level of a driver of the own vehicle, and executes a secondary collision reducing control of executing a forcibly-decelerating process of forcibly decelerating the own vehicle when a light collision condition is satisfied, and a dozing condition is satisfied. The vehicle driving assist apparatus executes the forcibly-decelerating process so as to decelerate the own vehicle with controlling a deceleration of the own vehicle such that the deceleration of the vehicle realized when the light collision condition and the dozing condition become satisfied, and the dozing level is relatively low, is smaller than the deceleration of the own vehicle realized when the deceleration when the light collision condition and the dozing condition become satisfied, and the dozing level is relatively high.

An autonomous driving control apparatus may include a processor configured to determine a wear degree of a tire of a vehicle based on image data of the tire during autonomous driving of the vehicle, and to perform vehicle control depending on the wear degree of the tire; and a storage electrically connected to the processor and configured to store the image data and algorithms driven by the processor.

Techniques for determining a safety area for a vehicle are discussed herein. In some cases, a first safety area can be based on a vehicle travelling through an environment and a second safety area can be based on a steering control or a velocity of the vehicle. A width of the safety areas can be updated based on a position of a bounding box associated with the vehicle. The position can be based on the vehicle traversing along a trajectory. Sensor data can be filtered based on the sensor data falling within the safety area(s).

A method of controlling vehicle driving, when a plurality of occupants is in the vehicle, by implementing components required for vehicle driving control as holographic images to ensure a maximum space in an autonomous vehicle, may include steps of requesting, by a first occupant currently having no driving control authority, a transfer of the authority by use of a holographic image, accepting, by a second occupant currently having the driving control authority, the transfer of the authority by use of the holographic image, selecting, by the first occupant, a mode by use of the holographic image based on the acceptance by the second occupant, and performing vehicle control in accordance with the mode selected by the first occupant, and the holographic images in the respective steps are displayed to the occupants wearing an HMD device.

Provided is an apparatus for providing obstacle information and reliability information to vehicle based on information received from roadside units. The apparatus includes a communication module that receives obstacle information from multiple roadside units, each roadside unit including multiple sensors for detecting obstacles within a predetermined field of view. A reliability judgement unit in the apparatus determines a reliability of the received obstacle information to output a reliability value based on a number of roadside units detecting a same obstacle, a number of sensor of one roadside unit detecting a same obstacle, and a difference value of detection of the same obstacle between different roadside units or different sensors.

A vehicle steering control method, device and system, and a vehicle are provided. The vehicle steering control method includes: in a case where a current vehicle speed is less than a turning vehicle speed threshold, steering of a vehicle is controlled by an Electric Power Steering (EPS) to implement cornering of the vehicle; in a case where a cornering condition of the vehicle is not reached during the cornering of the vehicle, the vehicle is controlled by an Electrical Park Brake (EPB) to perform single-side parking to assist in the cornering of the vehicle; and after the single-side parking of the vehicle is implemented, closed-loop control is performed on an electric control booster, the EPB and the EPS, and the vehicle is controlled to turn under the cornering condition.

A method includes identifying route data including a threshold arrival time for a route for an autonomous vehicle (AV) and calculating, based on the route data and a fuel-efficient speed value for each segment of the route, an estimated arrival time. Responsive to the estimated arrival time not meeting the threshold arrival time, the method includes identifying at least a subset of segments that each represent a candidate for speed increase, computing, for each segment in the subset and based on the fuel economy data, a correlation metric that indicates a correlation between a change in fuel economy and a change in speed for a corresponding segment in the subset, and increasing, for at least one segment from the subset and based on a respective correlation metric, a fuel-efficient speed value of the corresponding segment from the subset to provide a speed profile reflecting the increased fuel-efficient speed value.

A system and to a method executed in a vehicle control unit for controlling wheel slip of a vehicle, wherein the vehicle comprises at least two wheels driven by at least primary actuator via an open differential. The primary actuator is controlled to rotate at a speed resulting in a slip λ.sub.em of the primary actuator. A signed wheel slip limit λ.sub.lim is determined by adding a configurable value to the slip λ.sub.em of the primary actuator, such that λ.sub.lim>λ.sub.em. The at least two wheels are controlled to rotate at wheel speeds resulting in respective wheel slips λ.sub.l, λ.sub.r below the signed wheel slip limit λ.sub.lim, wherein each one of λ.sub.l, λ.sub.r and λ.sub.em are signed numerical values.