Papers by Keyword: Path Recognition

Abstract: A robot based on STC12C5A60S2 single-chip-microcomputer is designed for improving the production efficiency and reducing repetitive work. The system could identify path by detecting metal using eddy current sensor. By ways of the single-chip-microcomputer controlling stepper motor, the robot can run according to the predetermined route, judge independently cargo range and deliver the goods to the designated location. The implementation methods of the important links, such as mechanical structure design, path recognition and steering engine driving and so on are introduced, the system of which make the information interaction with computer through ISP-module (In-system-programming).by testing the model, it shows that the system can meet the design goals of handling goods automatically, and it has higher application value of reducing the accident rate of worker in repeated works and improving labor productivity.

Abstract: This paper studies on the path recognition system of intelligent vehicles, and makes classification and feature extraction of road. By using the BP neural network it makes the analog simulation, and through the training of network structure, it tries to establish network structure which can reflect the input road sample and the specified road type mappings, and then to realize the automatic identification of road type.

Abstract: Intelligence is a trend in the development of vehicles. This smart car system uses CCD camera to get images. The process is divided into three parts: image acquisition, extract centerline and path recognition. In this paper, it tells how to pick up the effective information of the road and predict the trend of black-line. Experiments show that the tracking movement of the smart car is real-time, efficient and intelligent, which has achieved the expected goals.

Abstract: In the context of the session of the freescale Intelligence Car Competition, this paper designed the intelligent vehicle system based on MC9S12XS128 microcontroller and its mechanical system considering the driving-stability and comfort of car module. In the system, CCD camera gathers real-time track road conditions information, and then the microcontroller will identify road situation and realize tracking control with these information. Using time-optimal to control the DC motor speed and the positional PID to control the steering gear, adjust PID parameters dynamically based on the position of the black line. These measures guarantee the intelligent vehicle travel along a specified route safely、smoothly and fast, and then realize automatic tracing. The results show that the system meets the need of path recognition and anti-interfere well.

Abstract: Tobacco harvesters are used in large-scale reclamation area. The demand for automatic navigation is urgent because of long time and intensive labor. According to the specificity of tobacco fields’ environment, the conventional path recognition method had been improved, which was taking 2G-R-B processing, threshold processing in turn and adopting dilation algorithm in image morphology instead of median blur algorithm. At last, modified Hough transform was used to extract navigation line. Processing results show that the algorithms which can be underlain in vision navigation research of tobacco machinery can meet the demand of vision navigation in tobacco fields and obtain the target navigation path rapidly and reliably.

Abstract: Research and develop an intelligent tracing robot system based on HCS12 SCM. The system uses Freescale HCS12 series 16-bit SCM MC9SXS128 as its central control unit and apply a CCD camera to obtain road image information. After analyzing and calculating obtained road image, the system controls servo steering and adopts PID control strategy to control the speed of DC motor. The result proves this method can make intelligent tracing robot system move forward quickly and smoothly following the black line.

Abstract: In order to improve the stability and reliability of the logistics handling robots, some optical fiber sensors were used to achieve the automatic navigation and tracking of AGV (Automatic Guided Vehicle) in this paper, and its key technology were also investigated. On the basis of adopting colored ribbon as tracking path, the layout of optical fiber sensors array is designed, and then a control algorithm based on MCU was presented for AGV. Finally, the practicality and effectiveness of intelligent tracing control technology were discussed, respectively.

Abstract: To meet the requirements of smoothness and flexibility, an intelligent track-searching vehicle is designed to run fast and smoothly on different tracks. It is equipped with a MC9S12DG128 SCM as core, a steering engine, a motor-control module and other modules. The continuous path recognition algorithm is applied to collect track information, and the optimized PID control algorithm is used to control the intelligent vehicle’s steering engine and motor. The experimental results show that the detection accuracy of intelligent vehicle is significantly increased; its sensitivity and stability are also obviously improved, achieving the fundamental goal of high speed of intelligent track-searching vehicle.

Abstract: In order to implement vision-based navigation of AGV (Automated guided vehicle) with complex path, a method incorporating RFID (radio frequency identification) technology with image processing technology is proposed, in which RFID technology is used to recognize nodes and image processing technology is used to detect path. Straight line path is detected by Hough transform in case that AGV runs straightly, while curve path is detected by line scanning in case that AGV turns right and left. Experiment results show that, with the method presented in this paper, the navigation of path tracking for AGV is implemented well.