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Bounded Quadrant System: Error-bounded Trajectory Compression on the Go
[article]
2014
arXiv
pre-print
Long-term location tracking, where trajectory compression is commonly used, has gained high interest for many applications in transport, ecology, and wearable computing. However, state-of-the-art compression methods involve high space-time complexity or achieve unsatisfactory compression rate, leading to rapid exhaustion of memory, computation, storage and energy resources. We propose a novel online algorithm for error-bounded trajectory compression called the Bounded Quadrant System (BQS),
arXiv:1412.0321v2
fatcat:rtcq3rqskbfvdhkbxyslyezobe