Automotive Research & Test Center

Automotive Research & Testing Center

Yu-Sheng Liao

Li-You Hsu

Chia-Tseng Chen

Yu-Sung Chen

Li-Chen Fu

Pei-Yung Hsiao

Kuo-Ching Chang

Chih-Bin Chiang

Tzu-Chien Hsu

Yi-Ming Chan

Chih-Hung Yang

Yu-Song Chen

Hsiang-Chun Kao

Pang-Ting Huang

Ming-Cong Weng

A pedestrian detecting system includes a depth capturing unit, an image capturing unit and a composite processing unit. The depth capturing unit is configured to detect and obtain spatial information of a target object. The image capturing unit is configured to capture an image of the target object and recognize the image, thereby obtaining image feature information of the target object. The composite processing unit is electrically connected to the depth capturing unit and the image capturing unit, wherein the composite processing unit is configured to receive the spatial information and the image feature information and to perform a scoring scheme to detect and determine if the target object is a pedestrian. The scoring scheme performs weighted scoring on a spatial confidence and an appearance confidence to obtain a composite scoring value to determine if the target object is the pedestrian.

Pedestrian detecting system

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.

Self-adaptive image edge correction device and method thereof

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.

Information display system automatically adjusting projection area and method thereof

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.

Automatic airview correction method

A method and system for monitoring a driver is disclosed. Firstly, an inner cabin image of a vehicle's cabin is continuously captured. Next, a face detection of a driver for the inner cabin image is performed to obtain a face detection result. Next, the inner cabin image and the face detection result corresponding to the inner cabin image are stored. When the system observes that either the face of the driver is not detected or the face is not shown within a reasonable face region of at least two continuous inner cabin images according to each face detection result, the system outputs a warning signal to alert the driver. The invention determines a driving state of a driver in a cabin with a method of analyzing a position of a face or a head and using an image extractor having large capture range and a low resolution.

Method and system for monitoring driver

In a method and system for detecting a driving state of a driver in a vehicle, a face recognition standard corresponding to an environmental condition within the vehicle is established based on a series of image frames generated by capturing consecutively images of the driver upon movement of the vehicle. Upon detection of a variance in the environmental condition during movement of vehicle, the face recognition standard is updated with a corrected face recognition standard corresponding to the environmental condition with the variance. It is determined based on the corrected face recognition standard and the image frames whether the driving state of the driver is a dangerous state, where the driver's face does not face a front windshield of the vehicle or where the driver's face faces the front windshield of the vehicle but one of the driver's eyes is closed.

Method and system for detecting a driving state of a driver in a vehicle

A vehicular collision warning system comprises at least one image capture device capturing images of blind spots, a processing unit receiving the images of blind spots from the image capture device, and at least one alert device. The processing unit identifies at least one barrier from the images and calculates the speed and transverse displacement of the barrier according to the positional change with respect to time. The processing unit presets at least one attention area on the image, estimates whether the barrier will appear in the attention area, sends out an alert-triggering signal to trigger the alert devices to generate sound, light, or pictures to warn the driver early. Cooperating with the speed sensor, brake system and turn light system, the vehicular collision warning system can trigger different alert signals according to the grading of danger to actively warn the driver early.

Growing community of inventors

Changhua County, Taiwan

Yu-Sheng Liao