PPT-Trajectory Clustering for Motion Prediction

Cynthia Sung Dan Feldman Daniela Rus October 8 2012 Trajectory Clustering 1 Background Noise Sampling frequency Inaccurate control SLAM Ranganathan and Dellaert 2011 Cummins and Newman 2009 . ca Mario A Nascimento Department of Computing Science University of Alberta Canada marionascimentoualbertaca ABSTRACT Trajectory clustering is the process of grouping similar tr a jectories according to a similarity distance Several meth ods for traj -. Traffic Video Surveillance. Ziming. Zhang, . Yucheng. Zhao and . Yiwen. Wan. Outline. Introduction. &Motivation. Problem Statement. Paper Summeries. Discussion and Conclusions. What are . Anomalies?. IntroductionTechniquesinclustering,approximation,regression,prediction,etc.,usesquaredEuclideandistancetomeasureerrororlosskmeansclustering,leastsquareregression,WeinerlteringSquaredlossisnotappropri Alla . Petrakova. Work overview. Becoming familiar with Motion Pattern algorithms described in:. Similarity Invariant Classification of Events by KL Divergence Minimization . by . Khokhar. , . Saleemi. HyungJune Lee. ,. Martin . Wicke. , . Branislav. . Kusy. , . Omprakash. . Gnawali. , and . Leonidas. . Guibas. Stanford University. ACM/IEEE IPSN’10. April 15, 2010. Traditional Data Delivery to Mobile Sinks . Discovering Objects with Predictable Context. Carl . Doersch. , . Abhinav. Gupta, Alexei . Efros. Unsupervised Object Discovery. Children learn to see without millions of labels. Is there a cue hidden in the data that we can use to learn better representations?. : Trajectory Classification Using Hierarchical Region-Based and Trajectory-Based Clustering. Jae-Gil Lee, . Jiawei. Han, . Xiaolei. Li, Hector Gonzalez. University of Illinois at Urbana-Champaign. VLDB 2008. Core:. Recapped . our general planning . strategy . that does a coarse space-time decoupled planning, followed by a . focused spatiotemporal . trajectory search. Extended our prior work to apply edge-augmented graph search to approximate the underlying path smoothing and nudging optimizations (continuous) that are needed for autonomous on-road . . USING HIERARHICAL REGION-BASED . . AND . . TRAJECTORY-BASED CLUSTERING . . JaeGil. Lee, . Jiawei. Han, . . Xiaolei. . Li, . Hector Gonzalez. Department of Computer Science. Crime Scene A: a shot was fired at the white vehicle parked across from the target store. The car is parked 75 ft from the store. A shot was believed to have been fired from the roof of the store. The store is 40 ft tall. Is it possible for the shot to come from the roof of the building? Explain your answer.. What is a projectile?. A body in free fall that is subject only to the forces of gravity and air resistance. Motion of bodies flung into the air. Occurs in many activities, such as baseball, diving, figure skating, basketball, golf, and volleyball. for mobile platform. The objective of a kinematic controller is to follow a trajectory described by its position and/or velocity profiles as function of time.. Motion control is not straight forward because mobile robots are typically non-. Newton's Laws as. Applied to . "Rocket Science". ... its not just a job ... its an adventure. 1. RS 102: Summary. 2. Vertically accelerating rocket. Neglected aerodynamic drag. How High will my Rocket go? . Fly and trajectory scans Tim Mooney 2/27/2015 Fly-scan choices Software fly scan Data acquired while positioners move at constant speed Detectors triggered by software Periodically, or at user-specified time intervals