From raw sensor data to moving object trajectories at right resolution, quality, and abstraction
Hyunjin Yoon · University of Southern California Digital Library · 2012
A moving object trajectory is a series of locations of a moving object sampled at discrete instances of time. Real-world moving object trajectories acquired by location-aware sensors typically involve a large number of moving objects, massive observations, and noisy measurements. In addition, the trajectory data is available only at the form of bulky point clouds of sampled locations and timestamps. Such raw sensor data is therefore neither at right resolution and quality nor at right level of abstraction for the efficient data exploration, advanced data analysis, and high-level decision making.