Metal Industries Research & Development Centre

Hung-Yuan Wei

Tsu-Kun Chang

Jinn-Feng Jiang

Shih-Chun Hsu

Tsung-Han Lee

Cheng-tai Lei

Cheng-Tai Lei

Kuei-Shu Hsu

Chia-Sui Wang

Tsung Han Lee

The present invention provides a method for detecting stationary objects by vehicles moving at high speed. The method is applied to a vehicle, which includes an on-board computer, a depth image capture unit, a laser image capture unit, and an optical image capture unit. When the vehicle moves at a first speed, the depth image capture unit, the laser image capture unit, and the optical image capture unit captures a depth image, a laser image, and an optical image. The on-board computer merges the depth image, the laser image, and the optical image according to give a merged image. Then on-board computer analyzes and judges the stationary object in the merged image according to an image optical flow method and generating stationary object information. The on-board computer displays alarm messages and the stationary object on the display unit of the vehicle according to the stationary object information.

Method for detecting stationary objects by vehicles moving at high speed

The present invention provides a method of alerting to stationary objects for vehicle. When a vehicle moves at a first speed, an optical scanning device, an infrared image extraction device, and an image extraction device extract a first optical scanning image, a first infrared image, and a first ambient image of the ambiance on one side of the vehicle. According to the fusion algorithm and the optical flow method, the first obstacle information of the first obstacle in the first image will be given. According to the location information of the first obstacle, the vehicle computer judges and generates an alert message when the relative distance is smaller than a distance threshold value and the obstacle volume is greater than a volume threshold value.

Method of alerting to stationary objects for vehicle

The present application is to provide a system for sensing and responding to a lateral blind spot of a mobile carrier and method thereof, which is applied for a mobile carrier during moving to a parking place. Firstly, a light scan unit and a depth image capture unit are used to scan a plurality of surrounding objects and capture a plurality of object depth images of the surrounding objects, and then a plurality of screened images are obtained according to a moving route of the mobile carrier for further obtaining correspondingly a plurality of forecasted lines to generate corresponded notice message for noting driver or ADAS. Due to the objects corresponding to the screened images and located on a blind position which is at one side of the mobile carrier, the notice message provides the driver preventing from the ignored danger by ignoring the blind position.

System for sensing and responding to a lateral blind spot of a mobile carrier and method thereof

The disclosure provides an environment perception device and method of a mobile vehicle. The environment perception device includes a camera module, a LiDAR module, a database and a processing circuit. The camera module photographs a field near the mobile vehicle to generate a three-dimensional (3D) image frame. The LiDAR module scans the field to generate a 3D scanned frame. The processing circuit fuses the 3D image frame and the 3D scanned frame to generate 3D object information. The processing circuit compares the 3D object information with a 3D map in the database to determine whether an object is a static object. The processing circuit performs an analysis and calculation on the 3D object information to obtain movement characteristics of the object when the object is not the static object, and skips the analysis and calculation on the 3D object information when the object is the static object.

Environment perception device and method of mobile vehicle

A method for avoiding obstacles surrounding a mobile vehicle is disclosed. The method discloses that it is more accurate to merge images after a depth information is obtained to construct an environment information. The mobile vehicle set an omnidirectional depth sensing module using a lot of depth sensors for capturing a depth information of an environment surrounding the mobile vehicle and identifying the obstacles on the road upon the depth information. Also, scanning the smooth degree of the road for identifying static obstacles and moved obstacles, Thereby, a control circuit controls the mobile vehicle to lower speed or circumvent the danger.

Omnidirectional obstacle avoidance method for vehicles

The present invention provides a smoke detection method with visual depth, which uses an image camera and a depth camera to extract surrounding images and surrounding depth information. A vehicle is used to patrol an area, such as the area of a processing factory, for receiving the surrounding environment information and detecting existence of burning objects or smoke. Then a processor adopting the clustering algorithm is used to estimate the smoke distribution or the location of fire source of burning objects, and uses an alarm to provide alarm information. Thereby, the rescue crew can prepare in advance and respond immediately. By providing the correct information to the firemen in the fire scenes, the time to control the fire can be shortened and the time for evacuation can be increased.

Smoke detection method with visual depth

A gesture operation method based on depth values and the system thereof are revealed. A stereoscopic-image camera module acquires a first stereoscopic image. Then an algorithm is performed to judge if the first stereoscopic image includes a triggering gesture. Then the stereoscopic-image camera module acquires a second stereoscopic image. Another algorithm is performed to judge if the second stereoscopic image includes a command gesture for performing the corresponding operation of the command gesture.

Gesture operation method based on depth values and system thereof

The present disclosure provides an alarm method for reversing a vehicle, in particular for a land vehicle, by sensing obstacles using structured light. When a vehicle reverses, the structured-light projecting module installed on the rear side of the vehicle projects structured light continuously, A plurality of light pattern messages are reflected to the structured-light camera unit. Then the height of and the distance to the obstacle are calculated. According to the height of the obstacle, whether the obstacle may influence the vehicle will be judged. If so, sounds will be emitted for reminding the driver according to the distance to the obstacle and the alarm distance information. Thereby, the reversing safety can be improved.

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Kaohsiung, Taiwan

Hung-Yuan Wei