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» A new upsampling method for mobile LiDAR data
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JIRS
2006
104views more  JIRS 2006»
13 years 7 months ago
Symbolic Trajectory Description in Mobile Robotics
Abstract. Autonomous mobile robot navigation systems are based on three principal kinds of techniques: map-based navigation, map-building-based navigation and mapless navigation. W...
Gilbert Pradel, Philippe Hoppenot
DEXAW
2002
IEEE
101views Database» more  DEXAW 2002»
14 years 25 days ago
Robust Similarity Measures for Mobile Object Trajectories
We investigate techniques for similarity analysis of spatio-temporal trajectories for mobile objects. Such kind of data may contain a great amount of outliers, which degrades the ...
Michail Vlachos, Dimitrios Gunopulos, George Kolli...
SDM
2007
SIAM
146views Data Mining» more  SDM 2007»
13 years 9 months ago
ROAM: Rule- and Motif-Based Anomaly Detection in Massive Moving Object Data Sets
With recent advances in sensory and mobile computing technology, enormous amounts of data about moving objects are being collected. One important application with such data is aut...
Xiaolei Li, Jiawei Han, Sangkyum Kim, Hector Gonza...
IJOCI
2010
163views more  IJOCI 2010»
13 years 5 months ago
An Experimental Performance Comparison for Indexing Mobile Objects on the Plane
We present a time-efficient approach to index objects moving on the plane to efficiently answer range queries about their future positions. Each object is moving with non small ve...
Spyros Sioutas, George Papaloukopoulos, Kostas Tsi...
WAIM
2009
Springer
14 years 2 months ago
Probabilistic Threshold Range Aggregate Query Processing over Uncertain Data
Large amount of uncertain data is inherent in many novel and important applications such as sensor data analysis and mobile data management. A probabilistic threshold range aggrega...
Shuxiang Yang, Wenjie Zhang, Ying Zhang, Xuemin Li...