Fourth International Symposium on Mine Mechanisation and Automation PDF Download

Author: Hal Gurgenci
Publisher:
ISBN:
Category : Mining engineering
Languages : en
Pages : 518

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Author: Simon Dominy
Publisher:
ISBN:
Category : Mines and mineral resources
Languages : en
Pages : 380

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Author: National Institute for Occupational Safety and Health
Publisher:
ISBN:
Category :
Languages : en
Pages : 52

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Author: Tad.S. Golosinski
Publisher: CRC Press
ISBN: 1000107973
Category : Nature
Languages : en
Pages : 364

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This text concentrates mainly on the Polish mining industry. It involves mining of a significant quantities of lignite, coal, copper, sulphur and many industrial minerals, which are all discussed in this book.

Author: Rajmohan Madhavan
Publisher: Universal-Publishers
ISBN: 1581121776
Category : Technology & Engineering
Languages : en
Pages : 227

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This thesis is concerned with the theoretical and practical development of reliable and robust localisation algorithms for autonomous land vehicles operating at high speeds in unstructured, expansive and harsh environments. Localisation is the ability of a vehicle to determine its position and orientation within an operating environment. The need for such a localisation system is motivated by the requirement of developing autonomous vehicles in applications such as mining, agriculture and cargo handling. The main drivers in these applications are for safety, efficiency and productivity. The approach taken to the localisation problem in this thesis guarantees that the safety and reliability requirements imposed by such applications are achieved. The approach also aims to minimise the engineering or modification of the environment, such as adding artificial landmarks or other infrastructure. This is a key driver in the practical implementation of a localisation algorithm. In pursuit of these objectives, this thesis makes the following principal contributions: 1. The development of an Iterative Closest Point - Extended Kalman Filter (ICP-EKF) algorithm - a map-based iconic algorithm that utilises measurements from a scanning laser rangefinder to achieve localisation. The ICP-EKF algorithm entails the development of a map-building algorithm. The main attraction of the map-based localisation algorithm is that it works directly on sensed data and thus does not require extraction and matching of features. It also explicitly takes into account the uncertainty associated with measurements and has the ability to include measurements from a variety of different sensors. 2. The development and implementation of an entropy-based metric to evaluate the information content of measurements. This metric facilitates the augmentation of landmarks to the ICP-EKF algorithm thus guaranteeing reliable and robust localisation. 3. The development and adaptation of a view-invariant Curvature Scale Space (CSS) landmark extraction algorithm. The algorithm is sufficiently robust to sensor noise and is capable of reliably detecting and extracting landmarks that are naturally present in the environment from laser rangefinder scans. 4. The integration of the information metric and the CSS and ICP-EKF algorithms to arrive at a unified localisation framework that uses measurements from both artificial and natural landmarks, combined with dead-reckoning sensors, to deliver reliable vehicle position estimates. The localisation framework developed is sufficiently generic to be used on a variety of other autonomous land vehicle systems. This is demonstrated by its implementation using field data collected from three different trials on three different vehicles. The first trial was carried out on a four-wheel drive vehicle in an underground mine tunnel. The second trial was conducted on a Load-Haul-Dump (LHD) truck in a test tunnel constructed to emulate an underground mine. The estimates of the proposed localisation algorithms are compared to the ground truth provided by an artificial landmark-based localisation algorithm that uses bearing measurements from a laser. To demonstrate the feasibility and reliability of both the natural landmark extraction and localisation algorithms, these are also implemented on a utility vehicle in an outdoor area within the University's campus. The results demonstrate the robustness of the proposed localisation algorithms in producing reliable and accurate position estimates for autonomous vehicles operating in a variety of unstructured domains.

Author: Hal Gurgenci
Publisher:
ISBN:
Category : Mines and mineral resources
Languages : en
Pages : 462

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Author: Barbara Cohrssen
Publisher: John Wiley & Sons
ISBN: 1119816211
Category : Science
Languages : en
Pages : 432

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Since the first edition in 1948, Patty’s Industrial Hygiene and Toxicology has become a flagship publication for Wiley. During its nearly seven decades in print, it has become a standard reference for the fields of occupational health and toxicology. The volumes on industrial hygiene are cornerstone reference works for not only industrial hygienists but also chemists, engineers, toxicologists, lawyers, and occupational safety personnel. Volume 3 covers Recognition and Evaluation of Physical Agents and Biohazards. All of the chapters have been updated and a new chapter on Robotics has been added. These subjects are increasing in importance to industrial hygienists.

Author: Australasian Institute of Mining and Metallurgy. Conference
Publisher:
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 496

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Author:
Publisher:
ISBN:
Category : Mines and mineral resources
Languages : en
Pages : 88

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Author:
Publisher:
ISBN:
Category : Coal mines and mining
Languages : en
Pages : 522

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