Collision avoidance using artificial retina sensor in ALV

Kim, K.I.; Shin, Cheon Woo

doi:10.1109/ivs.1995.528279

Cited by 2 publications

(1 citation statement)

References 11 publications

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“…Certain types of multi-resolutional displays, e.g., those involving log-polar mapping, make it easier to determine heading, motion, and time to impact than displays using Cartesian coordinates (Dias, Araujo, Paredes, & Batista, 1997;Kim, Shin, & Inoguchi, 1995;Panerai, Metta, & Sandini, 2000;Shin & Inokuchi, 1994). …”

Section: Robotics and Automationmentioning

confidence: 99%

Gaze-Contingent Multiresolutional Displays: An Integrative Review

et al. 2003

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Gaze-contingent multi-resolutional displays (GCMRDs) place high-resolution information only in the area to which the user's gaze is directed. This portion of the display is referred to as the area of interest (AOI). Image resolution and details outside the AOI are reduced, lowering the requirements for processing resources and transmission bandwidth in demanding display and imaging applications.This review provides an integrative survey of the current literature on GCMRDs across a wide range of applications. It also provides a general framework within which such research can be integrated, evaluated, and guided. Within this framework, a GCMRD (or "moving window") is analyzed in terms of (1) its multi-resolutional images (also called "variable-resolution", "space-variant", or "level of detail"), and (2) its gaze-contingent (or "foveated" or "eye-slaved"), movement of the AOI. We also synthesize the known human factors research on GCMRDs, and point out important questions for future research and development. Actual or potential applications of this research include flight, medical and driving simulators, virtual reality, remote piloting and teleoperation, infrared and indirect vision, image transmission and image retrieval, telemedicine, video teleconferencing, robotics and artificial vision systems.

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Section: Robotics and Automationmentioning

confidence: 99%

Gaze-Contingent Multiresolutional Displays: An Integrative Review

et al. 2003

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Developing an artificial retina by evolutionary cellular automata and self-organizing neural networks

Zhang

Sugisaka

1999

Artif Life Robotics

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Retinas are very important for human beings to get information about their environment. In this paper, we propose a new method to build artificial retinas which have many features similar to real ones. We use evolutionary cellular automata to extract some basic characteristics of objects, and use self-organizing neural networks to distinguish different objects. The results indicate a way to get computer vision by artificial life.

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Collision avoidance using artificial retina sensor in ALV

Cited by 2 publications

References 11 publications

Gaze-Contingent Multiresolutional Displays: An Integrative Review

Gaze-Contingent Multiresolutional Displays: An Integrative Review

Developing an artificial retina by evolutionary cellular automata and self-organizing neural networks

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