Real Time Object Measurement And Classification

This book contains papers presented at the NATO Advanced Research Workshop on "Real-time Object and Environment Measurement and Classification" held in Hotel Villa del Mare, Maratea, Italy, August 31 - September 3, 1987. This workshop was organized under the NATO Special Programme on Sensory Systems for Robotic Control. Professor Eric Backer, Delft University of Technology, The Netherlands and Professor Erdal Panayirci, Technical University of Istanbul, Turkey were the members of the organizing committee for this workshop. There were four major themes of this workshop: Real-time Requirements, Feature Measurement, Object Representation and Recognition, and Architecture for Measurement and Classification. A total of twenty-five technical presentations were made. These talks covered a wide spectrum of topics including hardware implementation of specific vision algorithms, a complete vision system for object tracking and inspection, using three cameras (trinocular stereo) for feature measurement, neural network for object recognition, integration of CAD (Computer-Aided Design) and vision systems, and the use of pyramid architectures for solving varioos computer vision problems.

This book contains the edited versions of lectures and selected contributed papers presented at the NATO Advanced Research Workshop on Real-Time Integration Methods For Mechanical System Simulation, held in Snowbird, Utah, August 7-11, 1989. The Institute was attended by 42 participants from 9 countries, including leading mathematicians and engineers from universities, research institutions, and industry. The majority of participants presented either invited or contributed papers during the Institute, and everyone participated in lively discussions on scientific aspects of the program. The Workshop provided a forum for investigation of promising new directions for solution of differential-algebraic equations (DAE) of mechanical system dynamics by mathematicians and engineers from numerous schools of thought. The Workshop addressed needs and opportunities for new methods of solving of DAE of mechanical system dynamics, from the perspective of a broad range of engineering and scientific applications. Among the most exciting new applications addressed was real time computer simulation of mechanical systems that, for the first time in human history, permits operator-in-the-Ioop simulation of equipment that is controlled by the human; e.g., driving a vehicle, operating a space telerobot, operating a remote manipulator, and operating construction equipment. The enormous potential value of this new application and the fact that real-time numerical integration methods for DAE of mechanical system dynamics is the pacing problem to be solved in realizing this potential served to focus much of the discussion at the Workshop.

Intelligent robotics has become the focus of extensive research activity. This effort has been motivated by the wide variety of applications that can benefit from the developments. These applications often involve mobile robots, multiple robots working and interacting in the same work area, and operations in hazardous environments like nuclear power plants. Applications in the consumer and service sectors are also attracting interest. These applications have highlighted the importance of performance, safety, reliability, and fault tolerance. This volume is a selection of papers from a NATO Advanced Study Institute held in July 1989 with a focus on active perception and robot vision. The papers deal with such issues as motion understanding, 3-D data analysis, error minimization, object and environment modeling, object detection and recognition, parallel and real-time vision, and data fusion. The paradigm underlying the papers is that robotic systems require repeated and hierarchical application of the perception-planning-action cycle. The primary focus of the papers is the perception part of the cycle. Issues related to complete implementations are also discussed.

Step-by-step tutorials on deep learning neural networks for computer vision in python with Keras.

The book is based on an international workshop on High Precision Navigation. The reader will find a wealth of information on - satellite navigation systems and their geodetic applications, especially using GPS - laser and radar techniques - image processing and image sequence analysis - autonomous vehicle guidance systems - inertial navigation systems - integration of different sensor systems.

The rapidly growing need for mobility has brought with it a major challenge for improvement in the operation and utilization of automotive systems. The economical, environmental and safety constraints imposed by the increase in the number of road vehicles and subsequent government policies also require substantial product development through the application of infor mation technology. This involves the enhancement of vehicle informatics and telematic systems with additional sensors and systems. The advance in the design and development of automotive sensory systems is so rapid that there is urgent need for the experts involved in the technology to work together to provide a reference book for the engineer of today and tomorrow. This motivated me to spend two years researching the topics and the basis on which such a book should be written. The result is the present compilation of the work of international experts on the state-of-the-art in the field of automotive sensory systems. Thus, a unique collection has been created for the reference of all those concerned with, or interested in, the design and development of modern, safe and intelligent vehicles. Although this book is intended for engineers, managers, scientists, academicians and policy makers, students should also find it valuable. To meet the requirements of students the basics are explained in simple terms; however, it is hoped that others will appreciate this approach, since most of us are well aware that gaps remain in our knowledge of the elements of our profession.

This book presents reports by well-known experts on the most recent research results in image coding, analysis and understanding, and promising applications for solving real problems in manufacturing, remote sensing and biomedicine. The topics covered include shape analysis and computer vision, pattern recognition methods and applications, parallel computer architectures for image processing and analysis, human perception and use of artificial intelligence techniques for image understanding, languages for image abstraction, processing and retrieval, vision modules and neural computation.