The Experts below are selected from a list of 17172 Experts worldwide ranked by ideXlab platform
K Sorimati - One of the best experts on this subject based on the ideXlab platform.
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realization of a 3d vision mobile robot that can Avoid Collision with moving obstacles
International Conference on Robotics and Automation, 1991Co-Authors: Junichi Takeno, Y Shinogi, Sakae Nishiyama, N Mizuguchi, K SorimatiAbstract:The authors present a real-time visual system for Avoiding Collision with moving obstacles and describe a realization of robots using the system to Avoid Collisions with moving objects. The visual sensor used in this system is a passive optical stereo type having no mechanical moving parts. Using two special slit patterns, the sensor is configured so as to split the two images obtained by individual cameras placed on the right and left, and to project the split images onto one CCD sensor, providing some 200 autofocusing subsystems. These subsystems can operate independently of one another, making real-time processing possible. >
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ICRA - Realization of a 3D vision mobile robot that can Avoid Collision with moving obstacles
Proceedings. 1991 IEEE International Conference on Robotics and Automation, 1Co-Authors: Junichi Takeno, Sakae Nishiyama, N Mizuguchi, Y. Shin'ogi, K SorimatiAbstract:The authors present a real-time visual system for Avoiding Collision with moving obstacles and describe a realization of robots using the system to Avoid Collisions with moving objects. The visual sensor used in this system is a passive optical stereo type having no mechanical moving parts. Using two special slit patterns, the sensor is configured so as to split the two images obtained by individual cameras placed on the right and left, and to project the split images onto one CCD sensor, providing some 200 autofocusing subsystems. These subsystems can operate independently of one another, making real-time processing possible. >
Junichi Takeno - One of the best experts on this subject based on the ideXlab platform.
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realization of a 3d vision mobile robot that can Avoid Collision with moving obstacles
International Conference on Robotics and Automation, 1991Co-Authors: Junichi Takeno, Y Shinogi, Sakae Nishiyama, N Mizuguchi, K SorimatiAbstract:The authors present a real-time visual system for Avoiding Collision with moving obstacles and describe a realization of robots using the system to Avoid Collisions with moving objects. The visual sensor used in this system is a passive optical stereo type having no mechanical moving parts. Using two special slit patterns, the sensor is configured so as to split the two images obtained by individual cameras placed on the right and left, and to project the split images onto one CCD sensor, providing some 200 autofocusing subsystems. These subsystems can operate independently of one another, making real-time processing possible. >
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ICRA - Realization of a 3D vision mobile robot that can Avoid Collision with moving obstacles
Proceedings. 1991 IEEE International Conference on Robotics and Automation, 1Co-Authors: Junichi Takeno, Sakae Nishiyama, N Mizuguchi, Y. Shin'ogi, K SorimatiAbstract:The authors present a real-time visual system for Avoiding Collision with moving obstacles and describe a realization of robots using the system to Avoid Collisions with moving objects. The visual sensor used in this system is a passive optical stereo type having no mechanical moving parts. Using two special slit patterns, the sensor is configured so as to split the two images obtained by individual cameras placed on the right and left, and to project the split images onto one CCD sensor, providing some 200 autofocusing subsystems. These subsystems can operate independently of one another, making real-time processing possible. >
N Mizuguchi - One of the best experts on this subject based on the ideXlab platform.
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realization of a 3d vision mobile robot that can Avoid Collision with moving obstacles
International Conference on Robotics and Automation, 1991Co-Authors: Junichi Takeno, Y Shinogi, Sakae Nishiyama, N Mizuguchi, K SorimatiAbstract:The authors present a real-time visual system for Avoiding Collision with moving obstacles and describe a realization of robots using the system to Avoid Collisions with moving objects. The visual sensor used in this system is a passive optical stereo type having no mechanical moving parts. Using two special slit patterns, the sensor is configured so as to split the two images obtained by individual cameras placed on the right and left, and to project the split images onto one CCD sensor, providing some 200 autofocusing subsystems. These subsystems can operate independently of one another, making real-time processing possible. >
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ICRA - Realization of a 3D vision mobile robot that can Avoid Collision with moving obstacles
Proceedings. 1991 IEEE International Conference on Robotics and Automation, 1Co-Authors: Junichi Takeno, Sakae Nishiyama, N Mizuguchi, Y. Shin'ogi, K SorimatiAbstract:The authors present a real-time visual system for Avoiding Collision with moving obstacles and describe a realization of robots using the system to Avoid Collisions with moving objects. The visual sensor used in this system is a passive optical stereo type having no mechanical moving parts. Using two special slit patterns, the sensor is configured so as to split the two images obtained by individual cameras placed on the right and left, and to project the split images onto one CCD sensor, providing some 200 autofocusing subsystems. These subsystems can operate independently of one another, making real-time processing possible. >
Sakae Nishiyama - One of the best experts on this subject based on the ideXlab platform.
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realization of a 3d vision mobile robot that can Avoid Collision with moving obstacles
International Conference on Robotics and Automation, 1991Co-Authors: Junichi Takeno, Y Shinogi, Sakae Nishiyama, N Mizuguchi, K SorimatiAbstract:The authors present a real-time visual system for Avoiding Collision with moving obstacles and describe a realization of robots using the system to Avoid Collisions with moving objects. The visual sensor used in this system is a passive optical stereo type having no mechanical moving parts. Using two special slit patterns, the sensor is configured so as to split the two images obtained by individual cameras placed on the right and left, and to project the split images onto one CCD sensor, providing some 200 autofocusing subsystems. These subsystems can operate independently of one another, making real-time processing possible. >
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ICRA - Realization of a 3D vision mobile robot that can Avoid Collision with moving obstacles
Proceedings. 1991 IEEE International Conference on Robotics and Automation, 1Co-Authors: Junichi Takeno, Sakae Nishiyama, N Mizuguchi, Y. Shin'ogi, K SorimatiAbstract:The authors present a real-time visual system for Avoiding Collision with moving obstacles and describe a realization of robots using the system to Avoid Collisions with moving objects. The visual sensor used in this system is a passive optical stereo type having no mechanical moving parts. Using two special slit patterns, the sensor is configured so as to split the two images obtained by individual cameras placed on the right and left, and to project the split images onto one CCD sensor, providing some 200 autofocusing subsystems. These subsystems can operate independently of one another, making real-time processing possible. >
Anazida Zainal - One of the best experts on this subject based on the ideXlab platform.
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mobility pattern based misbehavior detection to Avoid Collision in vehicular adhoc networks
Ubiquitous Computing, 2014Co-Authors: Mohammad Abdur Razzaque, Fuad A Ghaleb, Anazida ZainalAbstract:Vehicular Ad-hoc Network (VANET) can improve road safety through Collision Avoidance. False or bogus information is a real threat in VANET’s safety applications. Vehicles or drivers may react to false information and cause serious problems. In VANETs drivers’ behavioral tendencies can be reflected in the mobility patterns of the vehicles. Monitoring mobility patterns of the vehicles within their transmission range helps them in earlier detection of the correctness of the received message. This paper presents a misbehavior detection scheme (MDS) and corresponding framework based on the mobility patterns analysis of the vehicles in the vicinity of concerned vehicles. Initial simulation results demonstrate the potential of the proposed MDS and framework in message’s correctness detection, hence its corresponding applications in Collision Avoidance.
