A multi-layer path-planning system and method calculates trajectories for autonomous vehicles using a global planner, a fast local planner, and an optimizing local planner. The calculated trajectories are used to guide the autonomous vehicle along a bounded path between a starting point and a destination.

A vehicle may have actuators, including a drive device with a drive motor that can act on a drive wheel, a brake device with a brake that can act on a drive wheel, and/or a steering device with a steering sensor by way of which the steering angle of a wheel is adjustable, a vehicle movement controller, and a setpoint value input means, a setpoint value processing means for detecting setpoint value settings of the setpoint value input means, to calculate a yaw acceleration setpoint value and translational acceleration setpoint values from the setpoint value settings. The setpoint value processing means may be configured to transfer the calculated yaw acceleration setpoint value and translational acceleration setpoint values to the vehicle movement controller, which is configured to actuate one or more of the actuators such that the yaw acceleration setpoint value and the translational acceleration setpoint values are reached.

A method for controlling a vehicle, an electronic device, a storage medium, and a vehicle are provided, related to a field of artificial intelligence technology, in particular to a field of autonomous driving and a field of computer vision. The method for controlling a vehicle includes: determining, in response to a request of switching to an autonomous driving mode, whether the vehicle is in a safe state; and controlling, in response to the vehicle being in the safe state, the vehicle to switch from a manual driving mode to the autonomous driving mode during travelling.

Provided is a control apparatus for a vehicle configured to perform parking assist control, the control apparatus including a first power supply device, a second power supply device, and a power supply circuit, the power supply circuit being configured to, when an abnormality occurs in the first power supply device during the performance of the parking assist control, supply an electric power from the second power supply device to a braking device and a shift switching device, and the braking device and the shift switching device being configured to operate such that a timing at which a current flowing from the second power supply device to the braking device reaches a maximum value and a timing at which a current flowing from the second power supply device to the shift switching device reaches a maximum value do not overlap.

A vehicular driver assistance system includes a front camera module (FCM) disposed at a vehicle. The system, responsive to processing captured image data, generates FCM lane information including information regarding a traffic lane the vehicle is currently traveling along. An e-Horizon module (EHM) generates EHM lane information including information regarding the traffic lane the vehicle is currently traveling along. The vehicular driver assistance system determines an FCM correlation using the FCM lane information and sensor data captured by at least one exterior sensor. The vehicular driver assistance system determines an EHM correlation using the EHM lane information and the sensor data captured by the at least one exterior sensor. Responsive to determining the FCM correlation and the EHM correlation, the system controls lateral movement of the vehicle based on one selected from the group consisting of (i) the FCM lane information and (ii) the EHM lane information.

A safety system for a baggage tractor is provided that addresses the problems associated with tipping over or flipping of vehicles due to excessive speed around turns. Additionally, the safety system for a baggage tractor is provided that is fully integrated to ease replacement of a combustion engine in a baggage tractors with an electric motor and automated safety control system.

An autonomous driving apparatus for generating an intersection path reflecting a driving record may include: a path generating device that generates information on a first path for driving of an autonomous vehicle at an intersection; a path comparison operating device that generates offset information between the generated information on the first path and information on a second path along which the autonomous vehicle is driving; a comparison operation evaluating device that determines whether to store the information on the second path based on the generated offset information; and a comparison operation storage that stores the information on the second path and the offset information based on the determination of whether to store the information on the second path.

To implement a configuration to calculate a manual driving recoverable time required for a driver who is executing automatic driving in order to achieve a requested recovery ratio (RRR) for each road section, and issue a manual driving recovery request notification on the basis of the calculated time. A data processing unit is included, which calculates a manual driving recoverable time required for a driver who is executing automatic driving in order to achieve a predefined requested recovery ratio (RRR) from automatic driving to manual driving and determines notification timing of a manual driving recovery request notification on the basis of the calculated time. The data processing unit acquires the requested recovery ratio (RRR) for each road section set as ancillary information of a local dynamic map (LDM), and calculates the manual driving recoverable time for each road section scheduled to travel, using learning data for each driver.

A lane departure prevention system includes a controller configured to control a braking force of vehicle wheels such that a lane departure prevention yaw moment is applied to a vehicle. The controller determines whether there is a likelihood that the vehicle enters a spinning state based on at least one of a difference between an actual yaw rate and a normative yaw rate of the vehicle calculated based on a steering angle, a vehicle speed, and the lane departure prevention yaw moment, and a degree of braking slip of a turning inside wheel when the lane departure prevention yaw moment is a yaw moment for preventing departure of the vehicle from a lane to a turning outside, and applies a spin prevention yaw moment to the vehicle when it is determined that there is a likelihood that the vehicle will enter the spinning state.

An apparatus for controlling to enable an autonomous system in a vehicle is provided. The apparatus includes a sensor, an input device configured to receive an input from a driver of the vehicle, an output device configured to output a notification in the vehicle, and a control circuit configured to be electrically connected with the sensor, the input device, and the output device. The control circuit is configured to activate an autonomous control in response to an input of the driver to the input device, detect a critical situation of the vehicle using the sensor, output a notification to transfer a control authority using the output device in response to the detected critical situation, and automatically reactivate the autonomous control when the critical situation is solved after temporarily releasing the autonomous control, when the critical situation corresponds to a critical situation of a specified type.