منابع مشابه
Simultaneous Localization and Mapping with Limited Sensing Using Extended Kalman Filter and Hough Transform
Original scientific paper The problem of a robot to create a map of an unknown environment while correcting its own position based on the same map and sensor data is called Simultaneous Localization and Mapping problem. As the accuracy and precision of the sensors have an important role in this problem, most of the proposed systems include the usage of high cost laser range sensors, and relativ...
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Most mobile robot mapping and exploration research makes use of longrange, powerful sensors such as laser rangefinders to create maps. In this paper we take a different approach, creating maps using robots with limited sensing capabilities, most notably in their sensor range. Our prototype robots use only five infrared range sensors with a maximum range of 80 cm; in general, these robots cannot...
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Compressive sensing (CS) is an innovative technology, allowing us to capture signals with significantly fewer samples than those required by classical Nyquist theory. We propose a novel adaptive video compressive sensing algorithm to exploit the potential of CS in video acquisition. Each frame is divided into blocks to take advantage of its inhomogeneity. We first classify the blocks into one o...
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متن کاملOn the Throughput of Channel Access Algorithms with Limited Sensing
We consider some access protocols for Aloha type multiaccess channels. We argue, and show in an important case, that they can be modified t o allow new transmitters to join the system at arbitrary times. This feature, known as "limited sensing" or "continuous entry" need NOT reduce throughput performances. In the case presented, the modified algorithm i s also robust with respect to feedback er...
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ژورنال
عنوان ژورنال: IEEE Transactions on Robotics
سال: 2007
ISSN: 1552-3098
DOI: 10.1109/tro.2007.900636