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Action classification is an important component of human-computer interaction. Trajectory classification is an effective way of performing action recognition with significant success reported in the literature. We compare two different representation schemes, raw multivariate time-series data and the covariance descriptors of the trajectories, and apply sparse representation techniques for classifying...
For many applications, including robotic planning, obstacle avoidance, and mapping it has been observed with laser range-scanners and depth sensors that their sampling densities, i.e., the number of range measurements per unit length of the scanned contour, can vary greatly even within a single scan measurement. In this paper, an on-line placement algorithm is proposed that computes where the robot...
For many applications, including robotic planning, obstacle avoidance, and mapping it has been observed with laser range-scanners and depth sensors that their sampling densities, i.e., the number of range measurements per unit length of the scanned contour, can vary greatly even within a single scan measurement. In this paper, an on-line placement algorithm is proposed that computes where the robot...
A robot that can drive autonomously, actively seeking more information about the environment as it attempts to infer it, has significant value in many application areas. Range scanners and depth sensors are one of the most popular sensors used in mobile robotics to accomplish several higher level tasks such as local planning, obstacle avoidance, and mapping and localization among others. For any application,...
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