A design of a three-dimensional localiser that is intended for autonomous robot vehicles is presented. The design is implemented in air using ultrasonic beacons but can be adapted using sonar to underwater environment...
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This paper presents a hardware and software system for the generation of video patterns that can be used for various vision tests, particularly depth perception. Among the capabilities of the system is generation of s...
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A new edge detection technique based on anisotropic diffusion is implemented using mean field theory. This optimization approach to edge detection provides localized, thinned, and linked edges that are useful for imag...
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The authors describe a simulation environment which can be of utility in the design, development, and operation of sensor-driven robotic systems. This environment incorporates the ability to simulate sensory inputs an...
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The authors describe a simulation environment which can be of utility in the design, development, and operation of sensor-driven robotic systems. This environment incorporates the ability to simulate sensory inputs and their effects on the planning and control functions. A detailed design of the simulator is presented. The simulator is integrated within an entire robotic system, and is utilized for automatic robot programming. Alternatively, the simulated system operation flow can be controlled through either a teach mode or a program mode. Five sensing modalities can be simulated: proximity, point laser range, ultrasonic range, laser range depth imagery, and edge-based intensity imagery. The simulation and animation of a particular robot is described. The unique features of the simulator are that it simulates and utilizes sensory information feedback, it integrates planning and simulation, and it makes the switching between real and simulation mode in the robotic system transparent to the user.< >
The complexity of information extraction requires the development of efficient and dedicated hardware systems designed to operate in harmony with robot vision and automation. This paper describes a system which combin...
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A mathematical framework for the solution of statistical inference problems on a class of random sets is proposed. It is based on a new definition of expected pattern. The least-mean-difference estimator (restoration ...
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We present a canonical frame construction for determining projectively invariant indexing functions for non-algebraic smooth plane curves. These invariants are semi-local rather than global, which promotes tolerance t...
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Recognising a curved surface from its outline in a single view is a major open problem in computervision. This paper shows techniques for recognising a significant class of surfaces from a single perspective view. Th...
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The authors present a surface triangulation technique for surface description at different levels of resolution in a range image. A step discontinuity constrained 2-1/2-D triangulation of all points is first computed....
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The authors present a surface triangulation technique for surface description at different levels of resolution in a range image. A step discontinuity constrained 2-1/2-D triangulation of all points is first computed. A sequential optimization process then removes, at each iteration. the point that minimizes the local retriangulation approximation error caused by its removal. The iterative process can stop at any time to obtain a desired level of approximation error.< >
The authors describe algorithms for detecting and interpreting linear features of a real scene as images by a single camera on a mobile robot. The low-level processing stages were specifically designed to increase the...
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The authors describe algorithms for detecting and interpreting linear features of a real scene as images by a single camera on a mobile robot. The low-level processing stages were specifically designed to increase the usefulness and the quality of the extracted features for a semantic interpretation. The detection and interpretation processes provided a 3-D orientation hypothesis for each 2-D segment. This, in turn, was used to estimate the robot's orientation and relative position in the environment and to delimit the free space visible in the image. The orientation data was used by a motion stereo algorithm to fully estimate the 3-D structure when a sequence of images becomes available. From detection to 3-D estimation, an emphasis was placed on real-world applications and very fast processing with conventional hardware.< >
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