Abstract: A multi-focus physiologic sensing device for condensing light is disclosed, comprises a multi-focus condenser has one first ellipse reflection member, and one second ellipse reflection member is arranged at an end of the first ellipse reflection member. The first ellipse reflection member has a first focus point thereon. The second ellipse reflection member has two second focus points thereon. A boundary between the first ellipse reflection member and the second ellipse reflection member has a first confocal point. Two lighting elements are respectively arranged on the two second focus points to generate light sources, that focus light on the first confocal point through the second ellipse reflection member, and then the detected object reflects the detected light source back to the first confocal point. Then, the detected light source is passes through the sensor from the first focus.

Abstract: A composite autonomous driving assistant system for making decision and a method of using the same is provided. A longitudinal-controlling autonomous driving assistant device and a lateral-controlling autonomous driving assistant device start to automatically assist in driving a vehicle. Then, a sensing device senses states of the vehicle and an environment and generates one sensing signal. When a controller determines that the collision period is less than a preset collision period and that a deceleration signal of the sensing signal is larger than a preset deceleration, the controller generates a turn-stopping signal. When the controller determines that a turn angle signal of the sensing signal is larger than a preset angle, the controller generates a speed-stopping signal. The system establishes a switching threshold condition when the plurality autonomous driving assistant devices coexist.

Abstract: A method for quantifying classification confidence of obstructions applied to a perception mergence system of a vehicular computer in a vehicle. The method includes steps of: the vehicular computer receiving obstruction information of at least obstruction, image information corresponding to the obstruction information and vehicle body signals, and using a classifier to classify them; calculating a detection result of each range sensor to calculate a existence confidence; using the existence confidences and precision of the classifier to calculate a classification belief assignment of each range sensor corresponding to each obstruction; performing mergence calculation on the classification belief assignments to respectively quantify an obstruction classification confidence of all the range sensor corresponding to each obstruction; and performing a classification ineffectiveness filtering mechanism to exclude the obstruction whose obstruction classification confidence less than a predetermined value.

Abstract: A calibration method for merging object coordinates and a calibration board device using the same are provided. The calibration board device has a plurality of characteristic points and a central reflection element. A center of the central reflection element has a central characteristic point. A distance sensor emits a distance sensing signal to the central reflection element, so as to obtain a central real coordinate. Intrinsic and extrinsic parameters of a camera is used to establish a transformation equation which transforms the central real coordinate into a central image coordinate. Finally, a calibration image of the calibration board device is retrieved, and the central characteristic point is searched, and the central image coordinate is projected on the calibration image whereby the central image coordinate is calibrated to aim at the central characteristic point on the calibration image, thereby generating extrinsic and intrinsic parameter parameters calibrated.

Abstract: The present invention discloses a system and method for detecting environment-induced disablement of ADAS. The system comprises a rainfall detector, a fog detector and a temperature/humidity detector respectively generating a rainfall value, a fog value, and a temperature/humidity value; a processor electrically connected with these detectors, using the rainfall value and fog value to generate a rainfall-fog value, using the fog value and temperature/humidity value to generate a snowfall value, using a fuzzy computation to process the rainfall-fog value and snowfall value to generate an output value, and emitting an alert signal if the output value exceeds a preset output value; and an automatic driver assistance device electrically connected with the processor, receiving the alert signal, and determining whether to stop automatic driving according to the alert signal. The present invention will alerts ADAS of the disablement lest ADAS execute wrong control actions.

Abstract: A head-up display device comprises a reflective mirror mounting bracket having an accommodation space; a reflective mirror arranged on the reflective mirror mounting bracket, receiving a real image and reflecting the real image to generate a reflected image; and a concave imaging mirror mounting bracket accommodating a concave imaging mirror, wherein the concave imaging mirror is coated with an antireflection film on one side and coated with a semi-transmitting film on the other side, reflects the reflected image of the reflective mirror and presents a distant magnified virtual image. The present invention is characterized in a small size; no need to install the device inside the instrument panel system; directly using an existing display device to generate a distant magnified virtual image; and easiness for users to install the device.

Abstract: An adaptive device and an adaptive method for classifying objects with parallel architecture are provided. The method stores a plurality of scene parameters and a plurality of classifier parameters. The method retrieves at least one image datum and then drags frames to enclose a plurality of obstruction images of the image datum and decides a frame range according to a range of each obstruction image. The method uses a plurality of image processing units to respectively calculate a plurality of obstruction characteristic data of the obstruction images in a one-by-one parallel processing way, and chooses and calculates the scene parameters and the classifier parameters corresponding to the obstruction characteristic data to obtain a plurality of classification data. When the method determines that the classification data belongs to the obstruction classification preset, positions of enclosed obstruction images are outputted to achieve real time detection for obstructions.

Abstract: A dynamic lane line detection system and method is disclosed herein. Four wide-angle lenses are respectively arranged at four sides of a vehicle and capture distorted images. A vehicular image integration unit transforms the distorted images into an ordinary planar image and presents the planar image on an image display device together with an image of lane lines as information of lane departure warning for the driver. The system undertakes moving obstacle detection, around view monitor, or parking assistant according to images captured by four wide-angle lenses and the gearshift signal, speed signal, turning angle signal received by a vehicular signal receiving device. The present invention uses the wide-angle lenses and the vehicular image integration unit to effectively integrate lane departure information with a panoramic image, whereby to decrease the economical burden of the vehicle buyer and reduce the volume of hardware.

Abstract: The present invention discloses a driver's fatigue detection system and method. The system comprises a vital sign detection device generating at least one personal vital sign value; a storage device storing a linear statistic equation; a processor electrically connected with the vital sign detection device and the storage device; and a display device electrically connected with the processor. The processor receives the personal vital sign value, retrieves the linear statistic equation, substitutes the personal vital sign value into the linear statistic equation to generate a predictive vehicle deviation value, and determines whether the predictive vehicle deviation value is over a preset vehicle deviation value. If yes, the processor generates an alert signal to the display device to present an alert image. The present invention determines whether the stability of the driver is decreasing according to his physiological status and reminds the driver to avoid a traffic accident beforehand.

Abstract: The present invention discloses an autonomous driving system able to make driving decisions and a method thereof, which decide a safer vehicle movement, wherein a processor generates a left-turn signal, a forward signal and a right-turn signal, receives and vectorizes a vehicle movement signal and object movement signals to determine whether one object is a dangerous or non-dangerous object, inputs the results into a corresponding equation to generate dangerous and non-dangerous object weights, substitutes the dangerous and non-dangerous object weights into a space weight equation to calculate left-turn, forward and right-turn lane section weights, uses the lane section weights to generate left-turn, forward and right-turn signal weights, generates a movement signal or a braking signal according to whether a highest one of the signal weights is over or below preset weight.

Abstract: A self-adaptive image edge correction device and method thereof, including an image fetching unit, an image processing unit, and an image output unit. Wherein, the image fetching unit is used to provide an original image, and is connected electrically to the image processing unit, that includes a sharpening filter, a superimposer, and an edge detector. The sharpening filter converts the original image into a sharpened edge image, and the superimposer superimposes the original image to the sharpened edge image, to form an enhanced image. The edge detector fetches the edge of the enhanced image, to obtain a differential edge image. The image processing unit then utilizes selectively the horizontal correction or vertical correction to correct the differential edge image, based on s deviation direction of the differential edge image, to form a corrected image, and provide it to the image output unit to output as required.

Abstract: An automatic correction device of a vehicle display system and method thereof, comprising following steps: firstly, transform an image of road in front into projection information, to calculate a coordinate model, then detect facial features of a driver, to calculate a face rotation angle and a facial features 3-D position of said driver, to estimate a position field of view for said driver looking to front. Then, said position field of view is substituted into an image overlap projection transformation formula, to generate an overlap error correction parameter. Subsequently, utilize said overlap error correction parameter to correct and update said coordinate model. Finally, utilize a display unit to project said corrected coordinate model to front of said driver, so that projection position of said coordinate model overlaps said position field of view of said driver.

Abstract: The present invention discloses an information display system automatically adjusting the projection area and a method thereof. The method comprises steps: using a detection module to capture images of a driver and measure a distance between the detection module and the driver; recognize facial features of a driver (including a position of the driver's eye, a rotation angle of the driver's face, and a direction the driver fixates) to estimate a required displacement of the projection area on the windshield (i.e. the region inside the visual field of the driver); moving or rotating the projection device according to the required displacement of the projection area to make the projection device project images of driving information onto a correct region on the windshield.

Abstract: A multi optical-route Head Up Display (HUD), comprising: at least an image display unit, to generate at least two input images, and project them respectively to a plurality of relay lenses, which adjusts reflection angle of said input signals and then transmits them to a virtual image generation unit, said virtual image generation unit produces a plurality of virtual images, and transmits them to a plurality of transmission mirrors, which reflects said virtual images to form a large area virtual image. Based on technical contents mentioned above, size of optical elements of lens and mirrors can be reduced drastically, so that said multi optical-route HUD can be miniaturized, to achieve image display range of large area, thus the moving vehicle information frame required completely overlaps outside view, as such effectively solving defects of a conventional single optical-route image display device capable of only providing small area image display.

Abstract: An image-partitioned display device for virtual image is disclosed. The display device comprises an image display unit, a refractive element, and a virtual image generation module. The refractive element is disposed between the image display unit and the virtual image generation module. Firstly, the image display unit generates at least one image, and then the refractive element refracts and partitions the image into a plurality of sub-images. Finally, the virtual image generation module receives lights of the sub-images to generate a large area virtual image or a plurality of enlarged virtual images. A volume of the virtual image generation module is reduced and all kinds of display information are provided by the image-partitioned technology.

Abstract: 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.

Abstract: An automatic airview correction method comprises steps: moving a vehicle to an airview alignment pattern; capturing a plurality of airview alignment images of the surroundings of the vehicle; correcting distortion of the airview alignment images to obtain a plurality of corrected images; performing alignment compensation on the corrected images; searching for corner points of the corrected images and converting view points to obtain a plurality of view angle-converted images; and searching for corner points of the view angle-converted images, and seaming the view angle-converted images to form a panoramic airview and obtain parameters corresponding to the panoramic airview. The present invention can automatically align images and can also automatically detect corner points to seam the images of the surroundings of a vehicle, whereby to form a panoramic airview.

Abstract: The present invention discloses an information display system automatically adjusting the projection area and a method thereof. The method comprises steps: using a detection module to capture images of a driver and measure a distance between the detection module and the driver; recognize facial features of a driver (including a position of the driver's eye, a rotation angle of the driver's face, and a direction the driver fixates) to estimate a required displacement of the projection area on the windshield (i.e. the region inside the visual field of the driver); moving or rotating the projection device according to the required displacement of the projection area to make the projection device project images of driving information onto a correct region on the windshield.

Abstract: A lane curvature detection system by utilizing vehicular and inertial sensing signals, which utilizes a speed detector, a steering wheel angle sensor, and a driving direction detector, to measure vehicle signals, such as the speed information, steering wheel angle, and driving direction of a vehicle, to estimate a lane curvature for the vehicle, and transmits said lane curvature to following vehicles for reference through a wireless transmission module. The lane curvature can be used to correct a lane curvature model, to increase accuracy of estimation.

Abstract: A self-adaptive image-based obstacle detection method comprises steps: capturing an original image; transforming the original image to an HSV color space, and retrieving a hue component (H) and a saturation component (S) of the HSV color space to form an HS-based image; dividing the HS-based image into image blocks; selecting one image block as a background block; using an obstacle recognition equation to determine whether each of the image blocks is similar to the background block; if no, deleting the image block; if yes, preserving the image block to form a binary obstacle image; and overlaying the binary obstacle image on the original image to filter out the background and obtain an initial ambit of an obstacle image. Then, three orderly movement flow equations are used to determine whether it is an obstacle.