Abstract: A vehicle positioning method via data fusion and a system using the same are disclosed. The method is performed in a processor electrically connected to a self-driving-vehicle controller and multiple electronic systems. The method is to perform a delay correction according to a first real-time coordinate, a second real-time coordinate, real-time lane recognition data, multiple vehicle dynamic parameters, and multiple vehicle information received from the multiple electronic systems with their weigh values, to generate a fusion positioning coordinate, and to determine confidence indexes. Then, the method is to output the first real-time coordinate, the second real-time coordinate, and the real-time lane recognition data that are processed by the delay correction, the fusion positioning coordinate, and the confidence indexes to the self-driving-vehicle controller for a self-driving operation.

Abstract: A vehicle positioning method via data fusion and a system using the same are disclosed. The method is performed in a processor electrically connected to a self-driving-vehicle controller and multiple electronic systems. The method is to perform a delay correction according to a first real-time coordinate, a second real-time coordinate, real-time lane recognition data, multiple vehicle dynamic parameters, and multiple vehicle information received from the multiple electronic systems with their weigh values, to generate a fusion positioning coordinate, and to determine confidence indexes. Then, the method is to output the first real-time coordinate, the second real-time coordinate, and the real-time lane recognition data that are processed by the delay correction, the fusion positioning coordinate, and the confidence indexes to the self-driving-vehicle controller for a self-driving operation.

Abstract: A system and a method for active steering control with automatic torque compensation are disclosed with a processor that generates a targeted torque signal after receiving a steering assistance signal generated by an active driver assistance device, overlays the targeted torque signal on a driver's torque signal after receiving the driver's torque signal sensed by a torque sensor to generate a steering torque signal, and performs an assistance logic algorithm according to the steering torque signal. As the assistance logic algorithm is performed based on both the steering assistance signal and the driver's torque signal, the steering assistance effect provided by the system and the method will not resist against the way of driver's steering, allowing the driver to easily and stably control the vehicle.

Abstract: A method for controlling movement of an autonomous vehicle includes: estimating a set of tire force margins with respect to each wheel of the vehicle and a set of dynamic chassis margins associated with a chassis module of the vehicle; based on the margins, determining whether the vehicle is capable of moving in accordance with a decision command; when the determination is negative, outputting a request for update of the decision command; and when an updated decision command has not been received, calculating a set of marginal actuating signals based on the decision command, the margins, required slip angles respectively for the wheels and a center of percussion of the vehicle so as to make the autonomous vehicle move accordingly.

Abstract: A method for controlling movement of an autonomous vehicle includes: estimating a set of tire force margins with respect to each wheel of the vehicle and a set of dynamic chassis margins associated with a chassis module of the vehicle; based on the margins, determining whether the vehicle is capable of moving in accordance with a decision command; when the determination is negative, outputting a request for update of the decision command; and when an updated decision command has not been received, calculating a set of marginal actuating signals based on the decision command, the margins, required slip angles respectively for the wheels and a center of percussion of the vehicle so as to make the autonomous vehicle move accordingly.

Abstract: A system and a method for active steering control with automatic torque compensation are disclosed with a processor that generates a targeted torque signal after receiving a steering assistance signal generated by an active driver assistance device, overlays the targeted torque signal on a driver's torque signal after receiving the driver's torque signal sensed by a torque sensor to generate a steering torque signal, and performs an assistance logic algorithm according to the steering torque signal. As the assistance logic algorithm is performed based on both the steering assistance signal and the driver's torque signal, the steering assistance effect provided by the system and the method will not resist against the way of driver's steering, allowing the driver to easily and stably control the vehicle.

Abstract: A trajectory planning method for lane changing of a vehicle includes steps of: calculating a current position of a reference point of the vehicle on a preliminary lane change trajectory that is received from an LCA system of the vehicle at a current time point; based on kinematics data received from an IMU of the vehicle, calculating longitudinal and lateral displacements of the reference point moving during a unit of time from the current time point to a next time point, and a yaw angle of the vehicle at the next time point; and obtaining a calibrated lane change trajectory based on the preliminary lane change trajectory, the current position, the longitudinal and lateral displacements, and the yaw angle.

Abstract: A trajectory planning method for lane changing of a vehicle includes steps of: calculating a current position of a reference point of the vehicle on a preliminary lane change trajectory that is received from an LCA system of the vehicle at a current time point; based on kinematics data received from an IMU of the vehicle, calculating longitudinal and lateral displacements of the reference point moving during a unit of time from the current time point to a next time point, and a yaw angle of the vehicle at the next time point; and obtaining a calibrated lane change trajectory based on the preliminary lane change trajectory, the current position, the longitudinal and lateral displacements, and the yaw angle.

Abstract: A lane tracking method is proposed for use by an autonomous vehicle running on a lane. A future location of the autonomous vehicle that corresponds to a future time point is estimated based on a current location and a measurement result of an inertial measurement unit of the autonomous vehicle. The future location of the autonomous vehicle, and a reference lane line data and a reference past location that correspond to a reference past time point are used to estimate a future lane line data that corresponds to the future time point.

Abstract: A lane tracking method is proposed for use by an autonomous vehicle running on a lane. A future location of the autonomous vehicle that corresponds to a future time point is estimated based on a current location and a measurement result of an inertial measurement unit of the autonomous vehicle. The future location of the autonomous vehicle, and a reference lane line data and a reference past location that correspond to a reference past time point are used to estimate a future lane line data that corresponds to the future time point.

Abstract: A system and a method for active steering control with automatic torque compensation are disclosed with a processor that generates a targeted torque signal after receiving a steering assistance signal generated by an active driver assistance device, overlays the targeted torque signal on a driver's torque signal after receiving the driver's torque signal sensed by a torque sensor to generate a steering torque signal, and performs an assistance logic algorithm according to the steering torque signal. As the assistance logic algorithm is performed based on both the steering assistance signal and the driver's torque signal, the steering assistance effect provided by the system and the method will not resist against the way of driver's steering, allowing the driver to easily and stably control the vehicle.

Abstract: A vehicle lateral control system having a lane model with modulation weighting for controlling a vehicle includes a camera, an image processing device, a controller and a steering device. The camera is configured to capture a front image of the vehicle to generate a front image dataset. The front image dataset is analyzed by the image processing device to obtain a plurality of lane markers, and the image processing device establishes a lane fitting curve according to the lane markers and a target weighting. The controller has a plurality of vehicle dynamic parameters and a target distance. The target weighting is changeable according to the target distance. The controller generates a steering control weighting according to the lane fitting curve and the vehicle dynamic parameters. The steering device is configured to control a turning direction of the vehicle according to the steering control weighting.

Abstract: An assisted steering system with vibrational function for vehicles is applied to a steering system of a vehicle. The steering system has a first steering column and a second steering column, and the assisted steering system includes a speed-adjustable steering device and an electronic control unit. The speed-adjustable steering device is connected between the first steering column and the second steering column and has a motor. The electronic control unit is electrically connected to the motor, generates a vibration driving current when receiving a warning command, combines a steering driving current with the vibration driving current to generate a motor control current, and outputs the motor control current to the motor of the speed-adjustable steering device to excite windings of the motor with the vibration driving current in generation of a vibrational effect.

Abstract: A vehicle lateral control system having a lane model with modulation weighting for controlling a vehicle includes a camera, an image processing device, a controller and a steering device. The camera is configured to capture a front image of the vehicle to generate a front image dataset. The front image dataset is analyzed by the image processing device to obtain a plurality of lane markers, and the image processing device establishes a lane fitting curve according to the lane markers and a target weighting. The controller has a plurality of vehicle dynamic parameters and a target distance. The target weighting is changeable according to the target distance. The controller generates a steering control weighting according to the lane fitting curve and the vehicle dynamic parameters. The steering device is configured to control a turning direction of the vehicle according to the steering control weighting.

Abstract: An assisted steering system with vibrational function for vehicles is applied to a steering system of a vehicle. The steering system has a first steering column and a second steering column, and the assisted steering system includes a speed-adjustable steering device and an electronic control unit. The speed-adjustable steering device is connected between the first steering column and the second steering column and has a motor. The electronic control unit is electrically connected to the motor, generates a vibration driving current when receiving a warning command, combines a steering driving current with the vibration driving current to generate a motor control current, and outputs the motor control current to the motor of the speed-adjustable steering device to excite windings of the motor with the vibration driving current in generation of a vibrational effect.

Abstract: A method for vehicle path tracking with error correction comprises steps of: acquiring vehicle instant information and a target path; developing a predictive path in accordance with the vehicle instant information; determining a vehicle yaw rate threshold value in accordance with the vehicle instant information; calculating a steering angle corresponding to the vehicle yaw rate threshold value; estimating a lateral error correction value corresponding to the steering angle; determining whether the lateral error correction value is not greater than an error value between the target path and the predictive path; controlling a vehicle to turn the steering angle corresponding to the lateral error correction value when the lateral error correction value is less than the error value; and controlling the vehicle to turn the steering angle corresponding to the error value when the lateral error correction value is greater than the error value.