Provided are methods for vehicle state estimation based on sensor data, which can include receiving the sensor data generated by one or more sensors, calculating a cornering stiffness value associated with the vehicle, predicting a lateral velocity value associated with the vehicle based on the cornering stiffness value, and outputting a set of vehicle state variables indicative of a current state of the vehicle at least by inputting the lateral velocity value into a recursive filter. Some methods described also include updating the cornering stiffness value based on the set of vehicle state variables, updating the lateral velocity value based on the updated cornering stiffness value, and updating the set of vehicle state variables based on the updated lateral velocity value. Systems and computer program products are also provided.

Systems and methods use cameras to provide autonomous navigation features. In one implementation, a method for navigating a user vehicle may include acquiring, using at least one image capture device, a plurality of images of an area in a vicinity of the user vehicle; determining from the plurality of images a first lane constraint on a first side of the user vehicle and a second lane constraint on a second side of the user vehicle opposite to the first side of the user vehicle; enabling the user vehicle to pass a target vehicle if the target vehicle is determined to be in a lane different from the lane in which the user vehicle is traveling; and causing the user vehicle to abort the pass before completion of the pass, if the target vehicle is determined to be entering the lane in which the user vehicle is traveling.

A method can be used to control a steer-by-wire steering system for a motor vehicle that has two axles each with two wheels. Two front wheels can be steered by front-wheel steering and two rear wheels can be steered by rear-wheel steering. The motor vehicle includes a single wheel drive that is assigned to one of the two axles and drives the two wheels of the corresponding axle via a differential. The motor vehicle comprises an inboard braking system. The method involves checking the motor vehicle speed and activating rear-axle steering when a motor vehicle speed should be slower than 40 km/hr. With rear-axle steering active, the following steps are performed: deactivating front-wheel steering and rear-wheel steering, determining a reference position of a first steering rod via a reference wheel steering angle, determining a differential drive torque between the rear wheels to reach the reference position via a control unit.

A lane centering system for a vehicle includes a light detection and ranging (LIDAR) system configured to (i) emit light pulses towards raised pavement markers on a road along which the vehicle is traveling and (ii) receive light pulses reflected by the raised pavement markers that collectively form LIDAR point cloud data, and a controller configured to detect a set of lane lines defining one or more lanes on the road based on the LIDAR point cloud data, based on at least the detected set of lane lines.sub.; generate a polynomial curve corresponding to a center of a lane in which the vehicle is traveling, and control steering of the vehicle based on the polynomial curve to keep the vehicle centered within the lane.

A memory stores a plurality of steering angle characteristics including a first steering angle characteristic and a second steering angle characteristic. A steering angle characteristic selecting unit selects a selected steering angle characteristic from the steering angle characteristics stored in the memory. A driving control unit controls the steering angle of an autonomous-driving vehicle in accordance with the selected steering angle characteristic and a rightward or leftward operation amount of a mechanical operation unit of an autonomous-driving vehicle.

An apparatus for controlling a vehicle includes: a sensor that obtains vehicle surrounding environment information and vehicle driving information; and a controller that determines whether an engagement of an Electronic Parking Brake (EPB) is possible based on the vehicle driving information, performs control for preventing a slip based on the vehicle surrounding environment information upon determining that the engagement of the EPB is impossible, calculates a steering angle for preventing the slip, transmits the steering angle to a portable terminal, receives a steering control command from the portable terminal, and controls steering based on the received steering control command.

The present disclosure relates to a method and system for integrated path planning and path tracking control of an autonomous vehicle. The method includes: obtaining five input control variables and eleven system state variables of an autonomous vehicle at current time; constructing a vehicle path planning-tracking integrated state model according to the obtained variables at the current time; enveloping external contours of two autonomous vehicles using elliptical envelope curves to determine elliptical vehicle envelope curves of the two autonomous vehicles, respectively; determining time to collision (TTC) between the vehicles according to elliptical vehicle envelope curves and vehicle driving states; establishing an objective function of a model prediction controller (MPC) according to the model; and solving the objective function based on the TTC, and determining input control variables to the MPC at the next time. Autonomous vehicle collision avoidance can be achieved according to the present disclosure.

A route generation device includes: a steering loaded state input unit to which a steering loaded state of a vehicle is inputted; a parking slot position input unit to which a position of a parking slot near the vehicle is inputted; a vehicle position input unit to which a position of the vehicle is inputted; a number-of-times-of-static-steering upper limit calculation unit configured to calculate, on the basis of the steering loaded state, a number-of-times-of-static-steering upper limit value up to which static steering of the vehicle can be performed between the position of the vehicle and the position of the parking slot; and a guidance route generation unit configured to generate a guidance route for guiding the vehicle to the parking slot, on the basis of the position of the vehicle, the position of the parking slot, and the number-of-times-of-static-steering upper limit value.

A control device executes caster angle change control for controlling a driving force applying device or each of the driving force applying device and a braking force applying device to reduce a caster angle of a steered tire-wheel assembly when a steering request is received in a stopped state or in a creeping state without exceeding a predetermined vehicle speed at a point starting from the stopped state. In the caster angle change control, the control device applies, to one tire-wheel assembly out of a front tire-wheel assembly and a rear tire-wheel assembly, a driving force in a direction toward the other tire-wheel assembly and applies, to the other tire-wheel assembly, a braking force or a driving force in a direction toward the one tire-wheel assembly to achieve the stopped state or the creeping state in response to a request for acceleration or deceleration.

Disclosed herein is an apparatus for predicting movement of a user of a vehicle. The apparatus may include an acceleration sensor that senses an acceleration of the vehicle, a braking controller that automatically controls a deceleration of the vehicle, a steering controller that automatically controls a direction of the vehicle, and a control circuit electrically connected to the acceleration sensor, the braking controller, and the steering controller, where the control circuit may monitor an operation of the braking controller, and predict a movement of the user of the vehicle based on a longitudinal acceleration of the vehicle sensed by the acceleration sensor and a first predetermined parameter when braking by the braking controller is detected.