1,721,058 research outputs found

    Target following using a vector field approach

    No full text
    Presented in this paper is a method for following a moving target with a mobile platform derived from a vector field navigation algorithm. A navigation method that took the position and heading of a waypoint as its defining parameters was modified to suit the needs of creating a target following algorithm. This algorithm will be shown to successfully be able to control a vehicle to follow a known target under varying circumstances. Vehicle manoeuvrability will be examined by adjusting parameters such as target velocity, the vehicle velocity profile and trailing distance.Tommie Liddy, Tien-Fu Lu, David Harve

    Three-port equivalent circuit of multi-layer piezoelectric stack

    No full text
    Abstract not availableYangkun Zhang, Tien-Fu Lu, Yuxin Pen

    Multiple obstacles detection using fuzzy interface system for AUV navigation in natural water

    No full text
    The detection of small moving targets, such as hazardous objects, is a challenging problem for sonar surveillance used by maritime robots’ navigation in shallow water. This phenomenon is due to the ambient sea noise and reverberation. This paper presents a fuzzy algorithm to automate detection of underwater multiple objects using Mechanical Scanned Imaging Sonar (MSIS). Returned sound waves were evaluated by a fuzzy interface system (FIS). Two parameters: the Pulse length and Maximum intensity are selected as linguistic variables for the fuzzy system. The data used in this paper were collected in a natural river which is about 3 meters depth. Results demonstrate good, reliable and fast performances of the proposed algorithm.Shi Zhao, Tien-Fu Lu and Amir Anva

    Synchronization and time resolution improvement for 802.11 WLAN OWPT Measurement

    No full text
    Xinrui Wang, Tien-Fu Lu and Lei Che

    Post identification and location derivation in vineyards through point clouds using cylinder extraction and density clustering

    No full text
    An automatic pruning machine is desirable due to the limitations and drawbacks of current grapevine pruning methods. It mitigates the issue of skilled worker shortages and reduces overall labour cost. To achieve autonomous grapevine pruning accurately and effectively, it is crucial to identify and locate posts, cordons and canes, which are the main objects for automatic pruning operations. In this paper, a new method is proposed to automatically identify the post and derive its location using point clouds. This method adopted the advantages of cylinder extraction and density clustering, and combined the features of cylinder and density for identification purposes. The results of applying this method to different data sets in vineyards are presented and its effectiveness is illustrated.Di Gao, Tien-Fu Lu, Steven Grainge

    Automatic quality estimation in blending using a 3D stockpile management model

    No full text
    Abstract not availableShi Zhao, Tien-Fu Lu, Ben Koch, Alan Hurdsma

    3D stockpile modelling and quality calculation for continuous stockpile management

    No full text
    Abstract not availableShi Zhao, Tien-Fu Lu, Ben Koch, Alan Hurdsma

    Stockpile modelling using mobile laser scanner for quality grade control in stockpile management

    No full text
    The delivery of a relatively constant quality grade of iron ore is crucial to Australia mining. As a buffer, blending and target grading system, stockpile plays a key role in the iron ore quality control. However, the shape of the stockpile, the quantity housed within the stockpile and the quality grade inside the stockpile are currently unavailable to operators. Therefore, this paper describes a method to generate 3D model of a stockpile with multiple layers using laser to keep tracking the shape changes caused by the stacking and reclaiming operations. Using this 3D model, the volume can be easily calculated anytime. Experiments conducted in laboratory environment indicate good results and proved that the 3D modelling method is accurate and efficient.Shi Zhao, Tien-Fu Lu, Ben Koch and Alan Hurdsma
    corecore