The logical structure of robot vision systems is introduced. It can be used as a basis for designing such systems. Both sensor data fusion and knowledge representation in a vision system may be broken down into four h...
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ISBN:
(纸本)081944300X
The logical structure of robot vision systems is introduced. It can be used as a basis for designing such systems. Both sensor data fusion and knowledge representation in a vision system may be broken down into four hierarchical levels where at each level knowledge representation in the form of partial models and data fusion complement each other. Multi-processor architectures supporting this type of structure are introduced as a particularly efficient basis for robot vision systems. Practical implementation is given.
The intelligent Ground Vehicle Competition (IGVC) is one of four, unmanned systems, student competitions that were founded by the Association for Unmanned Vehicle Systems International (AUVSI). The IGVC is a multidisc...
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ISBN:
(纸本)9780819494351
The intelligent Ground Vehicle Competition (IGVC) is one of four, unmanned systems, student competitions that were founded by the Association for Unmanned Vehicle Systems International (AUVSI). The IGVC is a multidisciplinary exercise in product realization that challenges college engineering student teams to integrate advanced control theory, machine vision, vehicular electronics and mobile platform fundamentals to design and build an unmanned system. Teams from around the world focus on developing a suite of dual-use technologies to equip ground vehicles of the future with intelligent driving capabilities. Over the past 20 years, the competition has challenged undergraduate, graduate and Ph.D. students with real world applications in intelligent transportation systems, the military and manufacturing automation. To date, teams from over 80 universities and colleges have participated. This paper describes some of the applications of the technologies required by this competition and discusses the educational benefits. The primary goal of the IGVC is to advance engineering education in intelligent vehicles and related technologies. The employment and professional networking opportunities created for students and industrial sponsors through a series of technical events over the four-day competition are highlighted. Finally, an assessment of the competition based on participation is presented.
This paper presents the Mobile Intelligence Team's approach to addressing the CANINE outdoor ground robot competition. The competition required developing a robot that provided retrieving capabilities similar to a...
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ISBN:
(纸本)9780819494351
This paper presents the Mobile Intelligence Team's approach to addressing the CANINE outdoor ground robot competition. The competition required developing a robot that provided retrieving capabilities similar to a dog, while operating fully autonomously in unstructured environments. The vision team consisted of Mobile Intelligence, the Georgia Institute of Technology, and Wayne State University. Important computervision aspects of the project were the ability to quickly learn the distinguishing characteristics of novel objects, searching images for the object as the robot drove a search pattern, identifying people near the robot for safe operations, correctly identify the object among distractors, and localizing the object for retrieval. The classifier used to identify the objects will be discussed, including an analysis of its performance, and an overview of the entire system architecture presented. A discussion of the robot's performance in the competition will demonstrate the system's successes in real-world testing.
The main purpose of this paper is to use machine learning method and Kinect and its body sensation technology to design a simple, convenient, yet effective robot remote control system. In this study, a Kinect sensor i...
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ISBN:
(纸本)9780819494351
The main purpose of this paper is to use machine learning method and Kinect and its body sensation technology to design a simple, convenient, yet effective robot remote control system. In this study, a Kinect sensor is used to capture the human body skeleton with depth information, and a gesture training and identification method is designed using the back propagation neural network to remotely command a mobile robot for certain actions via the Bluetooth. The experimental results show that the designed mobile robots remote control system can achieve, on an average, more than 96% of accurate identification of 7 types of gestures and can effectively control a real e-puck robot for the designed commands.
This paper introduces a tool developed for remote operation and simulation of swarms of robots. The tool provides a possibility for the user to easily and simultaneously operate multiple robots remotely. The robots ca...
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ISBN:
(纸本)081945561X
This paper introduces a tool developed for remote operation and simulation of swarms of robots. The tool provides a possibility for the user to easily and simultaneously operate multiple robots remotely. The robots can be either simulated or real physical robots. In addition to direct control of the robots, the user interface part of the tool can be used to develop robot behaviours using plug-ins made with Java or our graphical state machine editor. The development and testing of behaviours can be facilitated by using methods tested with the supporting simulation features of the tool before controlling real robots.
This paper describes a practical approach for environment perception using fusion of active ranging with a low-power laser and passive, stereo based ranging. A low-cost, coarse pitch linear detector is used, but still...
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ISBN:
(纸本)081942983X
This paper describes a practical approach for environment perception using fusion of active ranging with a low-power laser and passive, stereo based ranging. A low-cost, coarse pitch linear detector is used, but still sufficient distance accuracy for mobile robotics is achieved by using a new method of sub-pixel calibration. The device is intended for mobile robot or vehicle perception duties in obstacle detection and target position measurement.
This paper deals with a two-step segmentation algorithm for 2-D convex objects. First the objects are approximated by an elliptic shape description, and then the boundary of the object is refined using dynamic program...
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ISBN:
(纸本)0819413208
This paper deals with a two-step segmentation algorithm for 2-D convex objects. First the objects are approximated by an elliptic shape description, and then the boundary of the object is refined using dynamic programming. The reason for refinement is accurate shape classification.
A machine vision system has been developed to separate half cut peaches with small splinters from clean ones. The system uses the different spectral profile of both together with an ad hoc illuminating system. The sys...
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ISBN:
(纸本)0819426407
A machine vision system has been developed to separate half cut peaches with small splinters from clean ones. The system uses the different spectral profile of both together with an ad hoc illuminating system. The system is capable of process 30 half peaches per second. The hardware and software solutions are described.
Diffractive 2D and 3D grating optics as enabling technologies are on a good way to technically realize specific features well known in human vision. How does the human eye do its job in visual information processing?
ISBN:
(纸本)0819438626
Diffractive 2D and 3D grating optics as enabling technologies are on a good way to technically realize specific features well known in human vision. How does the human eye do its job in visual information processing?
In this paper, we outline computations for visual age classification from facial images. For now, input images can only be classified into one of three age-groups: babies, adults, and senior adults. The computations a...
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ISBN:
(纸本)0819413208
In this paper, we outline computations for visual age classification from facial images. For now, input images can only be classified into one of three age-groups: babies, adults, and senior adults. The computations are based on cranio-facial development theory, and wrinkle analysis. In the implementation, first primary features of the face are found, followed by secondary feature analyses. Preliminary results with real data are presented.
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