Abstract: A virtual track detection system and method is disclosed, wherein a track pattern is drawn on a track and positioning elements is disposed along a curved section of the track. The method includes steps: capturing front road images; recognizing the track pattern for determining whether a driving path of the vehicle is straight or curved. If the driving path is straight, calculating a linear equation of the driving path and outputting to a dynamic control end of a vehicle system. If the driving path is curved, detecting the positioning elements and calculating a curvature of the curved section, a turning speed and a modification angle according to the positions of the positioning elements to enable the dynamic control end to modify the driving speed and the heading angle. The present invention integrates image detection and magnetic track detection, exempted from environment influence and reducing operation cost.

Abstract: A self-driving vehicle route planning system detects and transforms environment information of a host vehicle into an aerial view including the coordinate information of coordinate points to recognize and mark traffic lane boundaries, traffic lanes, and other vehicles therein, calculates central points of the traffic lanes, and then, calculates a speed of a front vehicle according to its positions and works out a predicted route thereof. If the predicted route is the same as a driving route of the host vehicle, the front vehicle is used as a route reference point to calculate a final route of the host vehicle; if not, the traffic lane boundary is used as a route reference line to calculate the final route. The invention can plan the route merely using a point cloud data, greatly reducing the cost HD map information and storage space.

Abstract: An autonomous vehicle communication safety system includes a vehicle-mounted communication device and a terminal communication device. At least two communication channels are established between the vehicle-mounted communication device and the terminal communication device. At least one vehicle-mounted processor of the vehicle-mounted communication device generates a key, stores the key in a data packet, encrypts and compresses the data packet, and outputs the data packet which has been encrypted and compressed through the at least two communication channels to at least one terminal processor of the terminal communication device. Once received, at least two encrypted and compressed data packets are decompressed and decrypted by the at least one terminal processor to obtain at least two keys to be verified. The least one terminal processor determines whether the keys to be verified are identical and consequently controls connection statuses of the at least two communication channels.

Abstract: A computer vision vehicle locating fusion method includes: receiving an instant driving image from a camera, extracting multiple image features from the instant driving image and the multiple image features being extracted with the pre-stored feature sets in the storage device to fuse an inertial measurement parameter and the pre-stored satellite locating coordinate corresponding to one of the pre-stored feature sets that best matches the instant driving image to generate a first candidate coordinate; using the one satellite measurement coordinate received from a satellite locating device as a second candidate coordinate; calculating a first difference between the first candidate coordinate and an estimated reference coordinate, and calculating a second difference between the second candidate coordinate and the estimated reference coordinate; and determining and outputting the first candidate coordinate or the second candidate coordinate that has the smaller difference with the estimated reference coordinate.

Abstract: A method includes: selecting, from among a series of images, a candidate image that was captured at an image-capturing time instant corresponding to a point-cloud-generating time instant at which a point cloud was generated; generating a two-dimensional data set from the point cloud; superimposing the two-dimensional data set on the candidate image to result in a superimposed image; obtaining a derived distance inconsistency between the candidate image and the two-dimensional data set in the superimposed image; feeding the derived distance inconsistency into a conversion model to obtain a derived time difference; calculating a target time instant based on the derived time difference and the image-capturing time instant of the candidate image; and selecting, from among the series of images that have been received from the image capturing device, a target image that was captured at a time instant the closest to the target time instant.

Abstract: An air parking brake electric control valve includes an air valve unit and a self-lock unit. The air valve unit includes a main valve body, an auxiliary valve body, a valve core and a first electromagnetic assembly. The valve core is driven by the first electromagnetic assembly to move between a first action position and a second action position. The self-lock unit is disposed on the auxiliary valve body, and includes a second electromagnetic assembly. The second electromagnetic assembly includes a movable column operable to move between a release position and a lock position.

Abstract: A feature point integration positioning system includes a moving object, an image input source, an analyzing module and a positioning module. The image input source is disposed at the moving object to shoot an environment for obtaining a sequential image dataset. The analyzing module includes a machine vision detecting unit configured to generate a plurality of first feature points in each of the images based on each of the images, a deep learning detecting unit configured to generate a plurality of second feature points in each of the images based on each of the images, and an integrating unit configured to integrate the first feature points and the second feature points in each of the images into a plurality of integrated feature points in each of the images. The positioning module confirms a position of the moving object relative to the environment at each of the time points.

Abstract: A method for detecting an interior condition of a vehicle is provided to use a camera device and a radar device to acquire images and point cloud datasets with respect to an interior space of the vehicle. A computing device generates a synthesized image based on the images and the point cloud datasets, obtains a skeleton feature dataset and a facial feature dataset with respect to a living object in the synthesized image, and determines the interior condition of the vehicle based on the skeleton feature dataset and the facial feature dataset.

Abstract: A vehicle platoon following deciding system based on cloud computing is configured to decide a plurality of vehicle platoon accelerations of a leading vehicle and at least one following vehicle. A cloud processing unit receives a leading vehicle parameter group and at least one following vehicle parameter group. The cloud processing unit is configured to implement a cloud deciding step. The cloud deciding step includes judging whether the leading vehicle is manually driven according to the leading vehicle parameter group to generate a driving mode judging result, calculating a driving acceleration range according to a leading vehicle acceleration range and at least one following vehicle acceleration range, estimating a compensated acceleration according to the leading vehicle parameter group, and calculating the vehicle platoon accelerations according to the driving mode judging result and at least one of the driving acceleration range and the compensated acceleration.

Abstract: A stably braking system and a method using the same control wheels on a single axle of a ground vehicle. Firstly, at least one of a wheel deceleration and an actual slip of each of the wheels is calculated. Hydraulic control commands are generated when a braking operation is performed in response to a braking indication signal and it is detected that the wheel deceleration or the actual slip is higher. The hydraulic control commands are configured to control a hydraulic braking system to adjust the wheel speed. When the ground vehicle drives in a straight line or turns with a first pose physical quantity, the hydraulic control command with a low priority is replaced by the hydraulic control command with a high priority and the hydraulic braking system is controlled to adjust the wheel speeds based on the identical hydraulic control commands.

Abstract: An air brake electric control valve includes a valve body, a force balance unit including a guide member, and an electromagnetic urge unit including a movable column operable to move between an urging position and a retracted position. When the movable column is at the urging position, the movable column pushes the air guide member such that a through hole of the air guide member is blocked. When the movable column is at the retracted position, a gap is formed between the movable column and the air guide member such that an intermediate section and a second passage of the valve body are in fluid communication via the through hole of the air guide member and the gap.

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 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 vehicle hybrid communication system includes a vehicle communication device and a field communication device. The vehicle communication device includes a vehicle controller and multiple vehicle communication interfaces. The field communication device includes a field controller and multiple field communication interfaces. The vehicle communication device and the field communication device communicate via multiple communication channels established by the vehicle communication interfaces and the field communication interfaces. The vehicle controller respectively defines a bandwidth level and a speed level based on a real-time bandwidth and a real-time connection speed of each of the communication channels. The vehicle controller then creates a score based on the bandwidth level and the speed level of each of the communication channels. The vehicle controller then sets one of the communication channels with the best score as a main communication channel to transfer data to the field communication device.

Abstract: An intersection warning system based on information fusion and a method thereof, the system includes an intersection sensing device, an intersection computing device, a user device and a cloud server. The cloud server receives and stores on-site sensing information output from the intersection computing device and determines whether user positioning coordinates are received from the user device, if so, the cloud server reads the on-site sensing information and at least one background information, and calculates a fusion risk assessment value based on the on-site sensing information, the at least one background information, and multiple weightings; when the cloud server determines the fusion risk assessment value is greater than a threshold value, a warning command is output to the user device which sends out warning messages according to the warning command.

Abstract: A system and a method for updating and sharing crossroad dynamic map data are disclosed.

Abstract: An intersection warning system based on information fusion and a method thereof, the system includes an intersection sensing device, an intersection computing device, a user device and a cloud server. The cloud server receives and stores on-site sensing information output from the intersection computing device and determines whether user positioning coordinates are received from the user device, if so, the cloud server reads the on-site sensing information and at least one background information, and calculates a fusion risk assessment value based on the on-site sensing information, the at least one background information, and multiple weightings; when the cloud server determines the fusion risk assessment value is greater than a threshold value, a warning command is output to the user device which sends out warning messages according to the warning command.

Abstract: The invention provides a verification method of the dynamic virtual image display distance of a user interface, comprising the following steps: creating a tested image database; wherein the tested image database comprises a tested image displayed according to a standard virtual image display distance; displaying a first tested image; projecting a first image on a stacked image element; wherein the first image is displayed at a first virtual image display distance, which is the same with a first standard virtual image display distance of the first tested image; capturing the first tested image and the first image; performing a first reliability evaluation procedure for the first image and the first tested image; and calculating a first overlap ratio for the first image and the first tested image to verify accuracy of the user interface.

Abstract: A vehicle hybrid communication system includes a vehicle communication device and a field communication device. The vehicle communication device includes a vehicle controller and multiple vehicle communication interfaces. The field communication device includes a field controller and multiple field communication interfaces. The vehicle communication device and the field communication device communicate via multiple communication channels established by the vehicle communication interfaces and the field communication interfaces. The vehicle controller respectively defines a bandwidth level and a speed level based on a real-time bandwidth and a real-time connection speed of each of the communication channels. The vehicle controller then creates a score based on the bandwidth level and the speed level of each of the communication channels. The vehicle controller then sets one of the communication channels with the best score as a main communication channel to transfer data to the field communication device.

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.