Automotive Research & Testing Center

Automotive Research & Test Center

Jin-Yan Hsu

Tong-Kai Jhang

Chih-Jung Yeh

Chien-Hung Yu

Tsung-Hsien Hu

Tsung-Hua Hsu

Kun-Lung Ku

Jiun-Jie Chen

Hung-Pang Lin

Chau-Chih Yu

Yi-Feng Su

Shih-Chieh Huang

Po-Kai Tseng

Chun-Hsiung Chen

Chi-Chun Yao

Bo-Ruei Chen

Hsien-Chang Chiu

You-Sian Lin

Shih-Jung Ho

Tzu-Sung Wu

Wei-Jen Wang

Chi-Chun Huang

Zong-Li Wang

Yi-Zhao Chen

Ji-Fan Yang

Chao-Chih Yu

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.

Vehicle positioning method via data fusion and system using the same

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.

System and method for active steering control with automatic torque compensation

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.

Method and system for controlling movements of an autonomous vehicle with self diagnosis capability

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.

Trajectory planning method for lane changing, and driver assistance system for implementing the same

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.

Lane tracking method and lane tracking system for an autonomous vehicle

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.

Vehicle lateral control system having lane model with modulation weighting and control method thereof

A method of lane change and path planning that receives sensed signals from multiple sensors through a car computer on a vehicle to generate multiple traveling speed time-sorted information and multiple surrounding circumstance time-sorted information, and to further generate a 3&#xd7;3 grid corresponding to the surroundings of the vehicle; when receiving a signal to switch on the turn signals, the car computer selects data within a time interval from those traveling speed time-sorted information and surrounding circumstance time-sorted information, respectively; and then the selected data is to be processed together with the 3&#xd7;3 grid to generate a lane change space, and through a decision strategy to determine whether the lane change space complies with a safety movement strategy, and then the car computer generates a planned path of movement, such that a safest space for assisting lane change is provided for improving convenience and safety.

Method of lane change decision-making and path planning

A method for controlling a power steering system of a road vehicle includes: after the road vehicle is started, activating only an EPS subsystem; afterward, activating an EHPS subsystem when a speed of the road vehicle is not higher than a predetermined speed threshold; once the EHPS subsystem is activated, controlling the hydraulic motor of the EHPS subsystem to rotate at a rotational speed lower than a pre-set rotational speed when a torque applied to a steering column is smaller than a predetermined torque threshold.

Method for controlling a power steering system of a road vehicle

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.

Assisted steering system with vibrational function for vehicles and method for controlling the same

An automatic land following control system is provided and includes an image sensor, a steering angle sensor, an inertial measurement unit, a vehicle speed sensor and a controller. The image sensor senses a vehicle lane to generate a land data. The steering angle sensor senses a steering angle to generate a steering angle data. The IMU senses an acceleration, a yaw rate and a roll angle of the vehicle to generate an acceleration data, a yaw rate data and a roll angle data. The vehicle speed sensor senses a speed of the vehicle to generate a vehicle speed data. The controller receives a digital map data, the lane data, the steering angle data, the acceleration data, the yaw rate data, the roll angle data and the vehicle speed data to calculate a compensation angle data of the wheel.

Automatic lane following control system and method for vehicles

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.

Method and apparatus for vehicle path tracking with error correction

The present invention proposes a system and method for preventing a vehicle from rolling over in curved lane. The road images captured by the image capture devices are used to calculate road information. The road information together with the vehicular dynamic information, such as the speed and acceleration of the vehicle are used to predict the rollover angle and lateral acceleration of the vehicle moving on the curved lane. The height of the gravity center and critical rollover speed of the vehicle moving on the curved lane are worked out and used to define a vehicular rollover index. If the vehicular rollover index exceeds a preset value, the system warns the driver or directly controls the speed of the vehicle to prevent the vehicle from rolling over in the curved lane.

System and method for preventing vehicle from rolling over in curved lane

An active vehicle with variable inclination mechanism is provided. The active vehicle with variable inclination mechanism comprises a linear slide mechanism, two sets of longitudinal interlocking mechanism, a steering control mechanism, and a control unit. The linear slide mechanism comprises a reciprocating action member. A lateral displacement of the reciprocating action member drives the longitudinal interlocking mechanism to produce a displacement along a longitudinal direction while a torque is applied at the steering control mechanism. The wheels are driven to move along an opposite longitudinal direction and to form an inclination. Using the active vehicle with variable inclination mechanism can provide a real-time inclination force while rounding a corner as well as increase the safety. Besides, the driver can easily get on/off the vehicle when the vehicle is stationary and the reciprocating action member is locked at the stationary position of the vehicle.

Active vehicle with a variable inclination apparatus and method of using the same

A contactless detection apparatus has a first magnet ring, a second magnet ring, a first magnetic sensor, a second magnetic sensor and a controller. The two magnet rings are respectively mounted on two ends of a torsion shaft. When the torsion shaft rotates, the controller detects the magnetic fields of the two magnet rings through the two magnetic sensors. The controller calculates a twisting torque exerted on the torsion shaft and a rotational angle of the torsion shaft according to the detected magnetic fields at the same time. The detection apparatus of the invention has simple structure. The magnetic fields of both magnet rings do not interfere with each other, such that the detection result of the invention is accurate.

Contactless detection apparatus and method for detecting a rotation direction

A stimulus-based steering sensor device and a method for the same are disclosed. The sensor device comprises at least one driving wheel, a processor, two driven wheels, and two resolvers. The processor generates a stimulus signal and has a signal-angle lookup table. The driving wheel contacts two driven wheels. When following the rotation of a steering column, the driving wheel drives two driven wheels to rotate at different speeds. Two resolvers connect with the processor, respectively engage with two driven wheels, receive the stimulus signal, and respectively output two first sinusoidal signals to the processor according to the rotational speeds of two driven wheels. The processor analyzes two first sinusoidal signals to obtain two second sinusoidal signals having different periods, and uses the second sinusoidal signals and the signal-angle lookup table to obtain a first absolute angle value of the rotation of the steering wheel.

Growing community of inventors

Changhua Hsien, Taiwan

Jin-Yan Hsu