A method is described and includes subsequent to an autonomous vehicle becoming immobilized, initiating a local assistance request; subsequent to the initiating, receiving local assistance input from a passenger of the autonomous vehicle; and using the local assistance input to determine an action to be taken by the autonomous vehicle to mobilize the autonomous vehicle.

A computer for managing the drive train of a hybrid vehicle including an internal combustion engine, an electric machine and a battery. The drive train being capable of operating in a plurality of charging or discharging modes of the battery, the computer determines a set of probabilities of activation of the mode, determines the value of the speed of the electric motor for each mode, determines a set of electrical powers of the electric machine, calculates an energy consumption reduction indicator, determines the torque requested by the driver, the value of the speed of the internal combustion engine and the speed of the vehicle, determines a torque to be applied to the electric machine, and sends a command to the electric machine on the basis of the torque to be applied to the electric machine determined.

A method detects unintended acceleration of a motor vehicle during a closed-loop speed control mode by determining external forces on the vehicle via a controller, and then calculating a desired acceleration using a measured vehicle speed and the external forces. The method includes determining an actual acceleration of the vehicle, including filtering a speed signal as a first actual acceleration value and/or measuring a second actual acceleration value using an inertial measurement unit (IMU). During the speed control mode, the method includes calculating an acceleration delta value as a difference between the desired acceleration and the actual acceleration, and then using the acceleration delta value to detect the unintended acceleration during the speed control mode. A powertrain system for the motor vehicle, e.g., an electric vehicle, includes the controller and one or more torque generating devices coupled to road wheels of the vehicle.

A lane changing method, device for a driverless vehicle and a computer-readable storage medium are provided. The lane changing method includes: determining candidate lanes, to which a lane changing is to be performed, based on a travelling intention of a main vehicle; screening the candidate lanes based on lane changing conditions of the candidate lanes; selecting, from the screened candidate lanes, a target lane, to which the lane changing of the main vehicle is to be performed; determining whether the lane changing of the main vehicle from a current lane to the target lane is safe; and performing the lane changing, if the lane changing is determined to be safe.

A computer implemented method for determining weights for an attention based trajectory prediction comprises the following steps carried out by computer hardware components: receiving a sequence of a plurality of captures taken by a sensor; determining an unnormalized weight for a first capture of the sequence based on the first capture of the sequence; and determining a normalized weight for the first capture of the sequence based on the unnormalized weight for the first capture of the sequence and a normalized weight for a second capture of the sequence.

A vehicle driving control method depending on a baby mode, may include, when the baby mode is activated, receiving information on a state of a vehicle seat, correcting a center state of charge (SOC) value of a battery of the vehicle based on the information on the state of the vehicle seat, determining a state of a transmission of the vehicle, and performing regenerative brake and brake pedal stroke (BPS) scale/filtering correction control or an electric vehicle (EV) mode and accelerator position sensor (APS) scale/filtering correction control based on the state of the transmission of the vehicle and the state of the vehicle seat.

A vehicle control system (30) for controlling a behavior control device (20) that controls a behavior of a vehicle (1), comprising: a feed-forward computing unit (71) that computes a feed forward control amount of the behavior control device according to a steering angle of the vehicle; a feedback computing unit (72) that computes a feedback control amount of the behavior control device according to a difference between a target vehicle state amount computed from the steering angle and an actual vehicle state amount; a correcting unit (73) that computes a corrected feed-forward control amount by correcting the feed forward control amount according to the feedback control amount; and a target control amount computing unit (74) that computes a target control amount of the behavior control device according to the feedback control amount and the corrected feed forward control amount.

The present disclosure discloses a vehicle driving control system including a road information device calculating road information of a curved road on which the vehicle drives; a road surface information device calculating road surface condition of a road; a neighboring vehicle information device calculating location information or movement information of the neighboring vehicle located close to the vehicle; and a computing device computing a target speed based on the road information calculated by the road information device, the road surface condition calculated by the road surface information device, and the location information or movement information of the neighboring vehicle calculated by the neighboring vehicle information device.

A yaw behavior estimating device includes: an information acquirer that acquires information on a front image and a yaw rate of an own vehicle; a lane recognizer that recognizes information on a traveling lane drawn on a traveling route of the own vehicle based on the acquired information on the front image of the own vehicle; a vehicle body lateral position estimator that calculates a lateral displacement, which is a lateral displacement of the own vehicle with respect to the traveling lane based on the information on the recognized traveling lane; and a yaw angle estimator that estimates a yaw behavior of the own vehicle.

A lane keeping control apparatus, a vehicle system including the same includes a processor that is configured to calculate a target lateral movement distance based on lane information during lane keeping control. The processor corrects the target lateral movement distance by correcting a heading angle of a vehicle and an offset from a target path before the vehicle reaches the target path and a storage stores data and algorithms driven by the processor.