Papers by Keyword: Track Detection

Abstract: With the aid of TI CCS4.0 software development platform, using C language, a kind of track detection algorithm based on gray image is implemented on DM642. The detailed design and implementation steps are introduced. First, image median filtering, vertical sobel edge enhancement, and using the threshold segmentation method for binarization processing. Then search and mark connected domain on the basis of the binary images and prepare for extraction the connected domain about rail. Finally extract and fill around tracks to get a image containng only track region. The experimental results show that the design is convenient and feasible, and used in actual projects.

Abstract: The paper focuses on the design of an onboard track fault diagnosis device for advanced railway condition monitoring which can be mounted on in-service vehicle. Track faults are diagnosed from the vertical and lateral acceleration of axle-box, bogie and car-body with different characteristics. As vibration signal in time-domain will not represent the condition of the track obviously, the signal is transformed into frequency-domain first. Then PCA and SVM are used to calculate probabilities of fault tracks. At last, The D-S evidence theory is employed in the track fault diagnosis to fuse multi-source information. When fault is detected, alarm message will be sent to the monitoring center of the system to ensure the safety of the following vehicles. Experiments which use three accelerometer signals in different positions as mentioned above from the inspection vehicle were carried out to show that the detection algorithm is effective to estimate the rail irregularities and diagnose track faults.

Abstract: In the paper, we present the mobile robot “MAX” developed at the Systems Engineering Laboratory, Hochschule Ravensburg-Weingarten, which serves as a mock-up of an automated guided vehicle intended for transportation of materials, and connection between different parts of a production line in industry. The subject of the paper is autonomous robot motion along a specified track formed with a one-colored insulation tape marked on the surface, on which the robot moves. The paper focuses on track detection provided by real-time processing of the video stream from an installed on the front of the robot web-camera that is the key feature of this work. In the paper, brief overview on the construction of the mobile robot “MAX” is introduced, the task of line following and motion criteria are formulated, some approaches to track detection and its presentation with mean points are proposed. Three motion control algorithms which are ensued are also presented and verified with experiments on the mobile robot “MAX” to show their real appropriateness.