Abstract: A lane stripe detecting method based on a three-dimensional LIDAR is for detecting a lane stripe of a road surface around a vehicle. A data acquisition transforming step is for obtaining a plurality of vehicle scan point coordinates. The vehicle scan point coordinates are divided into a plurality of scan lines, and each of the scan lines has a plurality of scan points. A horizontal layer lane stripe judging step is judging whether each of the scan points is a horizontal stripe point or a non-horizontal stripe point according to a threshold value of each of the scan lines. At least two of the threshold values of the scan lines are different from each other. A vertical layer lane stripe judging step is for judging whether each of the horizontal stripe points is a same lane stripe point or a different lane stripe point.

Abstract: A trajectory determination method for a vehicle is provided. A target vehicle trajectory is determined from among multiple candidate vehicle trajectories by considering, for each of the candidate vehicle trajectories, presence or absence of a front obstacle, presence or absence of a potentially-colliding obstacle, and a condition related to lane change, so as to enhance driving safety of the vehicle.

Abstract: A self-driving coordination system and the control method thereof are disclosed. The system and the control method are applied to an all-self-driving vehicle fleet. The self-driving coordination system comprises a leader control device, a follower control device, and a server. The leader control device is mounted in a leader. The follower control device is mounted in a follower. The leader control device and the follower control device communicate with each other for bidirectional data transmission. The server communicates with the leader control device and the follower control device for respective bidirectional data transmission.

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 target intention predicting method including a dataset obtaining step and a calculating and map mapping step is provided. A host vehicle positioning dataset of a host vehicle and a plurality of target datasets of a target are obtained. Each of the target datasets corresponds to each of a plurality of time points of a time line, and each of the target datasets includes a target position and a target velocity. The host vehicle positioning dataset is mapped to a map. The target position at the last one of the time points is mapped to the map. An updated velocity of the target is calculated according to the target velocities of the target datasets, and the updated velocity is mapped to the map to predicting a target future position of the target on the map at a future time point according to the updated velocity.

Abstract: A driver status monitor test method is for testing if a driver status monitor generates an alarm operation in accordance with driver motion images. A photographing unit of the driver status monitor is configured to take photographs of the driver motion images. The driver status monitor test method includes a test motion selecting step and a driver motion image displaying step. The test motion selecting step includes selecting at least one test motion for testing the driver status monitor by a user interface. The driver motion image displaying step includes displaying the driver motion images by a display. The driver motion images are a plurality of predetermined image frames in accordance with the test motion. The driver motion images include at least one of a face image, a forelimb image and a torso image.

Abstract: A trajectory determination method for a vehicle is provided. A target vehicle trajectory is determined from among multiple candidate vehicle trajectories by considering, for each of the candidate vehicle trajectories, presence or absence of a front obstacle, presence or absence of a potentially-colliding obstacle, and a condition related to lane change, so as to enhance driving safety of the vehicle.

Abstract: An automatic driving method and device able to diagnose decisions is disclosed herein, wherein a vehicle body signal sensor detects vehicle body information, and an environment sensor detects traffic environment information. The information is transmitted to a central processor to generate a future driving track. The central processor examines whether the differences between the future driving track and the traffic environment information and the indexes of the future driving track meet tolerances. If no, the central processor transmits notification information to an automatic driving controller. If yes, the central processor transmits the future driving track to the automatic driving controller to make the automatic driving controller undertake automatic driving according to the future driving track. The present invention can automatically judge whether the future driving track generated by the central processor is within tolerances and determine whether the automatic driving track is safe.

Abstract: A method of adaptive trajectory generation for a vehicle is provided. A computer device of the vehicle may update a current trajectory for the vehicle when some predetermined conditions that are related to an obstacle positioned within a predetermined distance of the vehicle are satisfied.

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: An intersection speed deciding method includes a dataset obtaining and calculating step and a speed adjusting step. At least one of the vehicles expected to pass through one of the points is defined as the approaching vehicle, and a first arrival time of the approaching vehicle is obtained. Whether a preceding vehicle is on the host route is judged. If yes, a second arrival time of the preceding vehicle is obtained. Whether the host vehicle is expected to wait for a red light is judged. If yes, a red light duration is obtained. A time difference exists between a best arrival time and a corresponding expected arrival time, and each time difference is minimized based on the first arrival time, the second arrival time and the red time duration. A speed of the host vehicle is adjusted or remained based on the expected arrival times.

Abstract: A system for remotely monitoring an autonomous vehicle and a method using the same is disclosed. The system includes a filtering unit, a message converting unit, and an abnormality analyzing module. The filtering unit retrieves the raw vehicle-body data of the on-board system information and filters out the raw vehicle-body data unsatisfying with a threshold value to generate vehicle-parameter information. The message converting unit receives the vehicle-parameter information and estimates vehicle-body environment information based on the vehicle-parameter information. The abnormality analyzing module receives the vehicle-parameter information and the vehicle-body environment information, incorporates the vehicle-parameter information and the vehicle-body environment information into a comparison condition to generate a comparison result, generates an abnormality warning signal corresponding to the comparison result, and transmits the abnormality warning signal to a far-end server to display it.

Abstract: A method for planning a trajectory for a self-driving vehicle on a road includes: generating multiple target planned trajectory sets based on information concerning the self-driving vehicle; calculating multiple projected moving ranges and multiple projected moving speeds of an obstacle based on information concerning the obstacle, the projected moving ranges corresponding respectively with multiple time points in a driving time period, the projected moving speeds corresponding respectively with the time points; and selecting one of the target planned trajectory sets as an optimal planned trajectory set based on the target planned trajectory sets, the projected moving ranges and the projected moving speeds for the obstacle.

Abstract: A braking control method according to friction of road surface includes computing a real-time wheel speed according to a signal received from a wheel speed sensor; storing the real-time wheel speed as a wheel initial velocity when a braking event occurs; determining a relative-peak value according to the real-time wheel speed; estimating a vehicle deceleration according to the relative-peak value and the wheel initial velocity; computing an adjustment parameter according to the vehicle deceleration and a tire slip threshold, wherein the adjustment parameter reflects friction coefficient of road surface; and adjusting time length of an enhancement stage in an enhance-pressure control period of a stepped pressure-increasing phase according to the adjustment parameter; or adjusting time length of a reduction stage in a reduce-pressure control period of a stepped pressure-decreasing phase according to the adjustment parameter.

Abstract: A method of simultaneous localization and mapping (SLAM) is provided to position a target object. Each of detected tracked objects in a surrounding environment of the target object is classified into a moving object or a static object based on data detected at different time points. The target object is then positioned without considering any of the tracked objects that are classified into a moving object.

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 self-driving coordination system and the control method thereof are disclosed. The system and the control method are applied to an all-self-driving vehicle fleet. The self-driving coordination system comprises a leader control device, a follower control device, and a server. The leader control device is mounted in a leader. The follower control device is mounted in a follower. The leader control device and the follower control device communicate with each other for bidirectional data transmission. The server communicates with the leader control device and the follower control device for respective bidirectional data transmission.

Abstract: A method for analyzing a number of people includes an image shooting step and a front-end analyzing step. In the image shooting step, a first image and a second image are obtained. In the front-end analyzing step, a foreground object analysis is operated, and a plurality of foreground objects located at a region of interest in the first image are obtained. A human body detection is operated, and at least one human body and a location thereof of the second image are obtained. An intersection analysis is operated, and the location of the human body is matched to the first image. A number of people estimation is operated to estimate the number of the people according to the first covering ratio, a number of the human body, and a second covering ratio of all the foreground objects to the region of interest.

Abstract: A headlight optical system and a lamp using the same are provided. The headlight optical system is implemented with the refractive optical system of a single lens. The headlight optical system includes a first incident surface, a second incident surface, and an exit surface. The first incident surface is a horizontal plane. The second incident surface surrounds the first incident surface. The inner edge of the second incident surface is connected with the outer edge of the first incident surface. The second incident surface has an inclined angle with respect to the first incident surface. After the light emitted from the polycrystalline light source is incident on the first incident surface or the second incident surface, the refractive optical system refracts and emits the light from the exit surface.

Abstract: A braking control method according to friction of road surface includes computing a real-time wheel speed according to a signal received from a wheel speed sensor; storing the real-time wheel speed as a wheel initial velocity when a braking event occurs; determining a relative-peak value according to the real-time wheel speed; estimating a vehicle deceleration according to the relative-peak value and the wheel initial velocity; computing an adjustment parameter according to the vehicle deceleration and a tire slip threshold, wherein the adjustment parameter reflects friction coefficient of road surface; and adjusting time length of an enhancement stage in an enhance-pressure control period of a stepped pressure-increasing phase according to the adjustment parameter; or adjusting time length of a reduction stage in a reduce-pressure control period of a stepped pressure-decreasing phase according to the adjustment parameter.