Data Fusion and Sensor Management: A Decentralized Information-Theoretic Approach
Data Fusion and Sensor Management: A Decentralized Information-Theoretic Approach
Journal of Intelligent and Robotic Systems
Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks
UAI '00 Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence
Exploring artificial intelligence in the new millennium
A Split-and-Merge Segmentation Algorithm for Line Extraction in 2-D Range Images
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Convergence of Minimum-Entropy Robust Estimators: Applications in DSP and Instrumentation
CONIELECOMP '04 Proceedings of the 14th International Conference on Electronics, Communications and Computers
Probabilistic Robotics (Intelligent Robotics and Autonomous Agents)
Probabilistic Robotics (Intelligent Robotics and Autonomous Agents)
Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing)
Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing)
Fast and accurate SLAM with Rao-Blackwellized particle filters
Robotics and Autonomous Systems
A Novel Measure of Uncertainty for Mobile Robot SLAM with Rao-Blackwellized Particle Filters
International Journal of Robotics Research
An error-entropy minimization algorithm for supervised training ofnonlinear adaptive systems
IEEE Transactions on Signal Processing
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We present a novel algorithm for simultaneous localization and mapping via application of entropy on construction of segment-based maps. Entropy has been incorporated in SLAM to enhance its sensitivity and robustness in presence of non-Gaussian uncertainties and disturbances. The kernel density estimator is employed to approximate the probability appearance of samples directly from sensor data. An entropy based robust estimator is then designed to extract reliable parameters of the line segment from the environment. Rao---Blackwellized particle filter is also adopted to estimate the pose of the robot and update the map simultaneously. Simulations and experiments results validate the effectiveness and accuracy of the proposed approach.