Automotive Research & Test Center

Automotive Research & Testing Center

Chia-Tseng Chen

Yi-Feng Su

Yu-Sheng Liao

Yu-Sung Chen

Hsiang-Chun Kao

Tzu-Chien Hsu

Hsin-Pin Yu

Yu-Song Chen

Yu-Hsiang Wu

Ming-Feng Hsieh

The present invention discloses an image-based barrier detection and warning system and a method thereof, wherein an image processing technology is used to establish ROI and verify whether a horizontal line signal exists, and wherein the image processing technology determines whether an object is a barrier via detecting contours of an object and detecting distance to the object, and wherein the system timely outputs warning signals and presents distance to a barrier when detecting the barrier. The image-based barrier detection and warning system enables the driver to watch the surroundings of the vehicle directly and clearly and learn the relative positions of barriers, whereby the driver can park more easily and safely.

Image-based barrier detection and warning system and method thereof

The present invention discloses a dual-vision driving safety warning device and a method thereof. The device of the present invention comprises an image capture unit, an image processing unit, a vehicle status sensing unit, a warning judgment logic, and at least one warning unit. The image capture unit includes at least two image capture devices installed in a user's vehicle and capturing the images of the front traffic environment. The image processing unit processes the images and uses the vehicle status signals detected by the vehicle status sensing unit to calculate the distance between the user's vehicle and a front vehicle in the image. The warning judgment logic sends out a control signal when the user's vehicle deviates from a driving lane or approaches a front vehicle too much. The warning unit receives the control signal and sends out a warning signal, such as a sound or a flash, to remind the driver.

Dual-vision driving safety warning device and method thereof

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 technology of determining obstacles around a vehicle through utilizing bird's-eye-view images; wherein, a plurality of image fetching devices disposed in various positions of said vehicle fetch a plurality of images around said vehicle, said images of two adjacent regions contain at least an overlapped region; an image processor transforms said images into said respective independent bird's-eye-view images; and an obstacle detection unit compares said overlapped region in said independent bird's-eye-view images of two adjacent regions, so as to obtain their correlations, and existence of said obstacle is determined based on said correlations. Moreover, a correspondence table is set up containing a set of space transformation information based on vehicle driving condition information. Therefore, a surrounding bird's-eye-view image of an appropriate visual angle can be produced quickly and a position of said obstacle is marked on said surrounding bird's-eye-view image.

Obstacle determination system and method implemented through utilizing bird's-eye-view images

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.

Vehicular collision warning system

A facial image recognition system for a driver of a vehicle includes an image capturing unit, an image processing unit, and a warning unit. The image capturing unit is used for capturing facial images of the driver. The image processing unit is electrically coupled to the image capturing unit, has installed therein a facial frame selecting and position correcting method and an identification comparison algorithm, and receives the facial images of the driver from the image capturing unit. The warning unit is electrically coupled to the image processing unit, and emits a warning signal when the image processing unit determines that an identification of the driver has changed.

Facial image recognition system for a driver of a vehicle

The present invention discloses a fast object position detection device and a method thereof, particularly to a detection device and a method thereof which can directly apply to various image systems. The device of the present invention mainly comprises an image capturing system that captures images within the regions defined by the user, and an image processing unit determining the position of an object and obtaining related information. In the method of the present invention, a captured image is converted into 1-D distance-axis signal information; a differential value of the 1-D distance-axis signal information is used to determine a position of an object; and a difference of the 1-D distance-axis signal information of at least two adjacent time points is used to determine an approaching status of an object.

Growing community of inventors

Lugang, Taiwan

Chia-Tseng Chen