ICP Stereo Visual Odometry for Wheeled Vehicles based on a 1DOF Motion Prior Yanhua Jiang1,2 , Huiyan Chen1 , Guangming Xiong1 , Davide Scaramuzza2 Abstract— In this paper, we propose a novel, efficient stereo visual-o

Source URL: rpg.ifi.uzh.ch

• Computer vision
• Artificial intelligence
• Vision
• Robust statistics
• Random sample consensus
• SRI International
• Robotic sensing
• Motion estimation
• Visual odometry
• Structure from motion
• Iterative closest point
• Pose

1-Point-based Monocular Motion Estimation for Computationally-Limited Micro Aerial Vehicles Chiara Troiani1 , Agostino Martinelli1 , Christian Laugier1 and Davide Scaramuzza2 TABLE I: Number of iterations of RANSAC Abst

Source URL: rpg.ifi.uzh.ch

• Statistics
• Random sample consensus
• SRI International
• Vision
• Artificial intelligence
• Motion estimation
• Structure from motion
• Visual odometry
• Reprojection error
• Motion capture
• Outlier

Robust Structural Metric Learning Daryl K. H. Lim Department of Electrical and Computer Engineering, University of California, San Diego, CAUSA Brian McFee

Source URL: bmcfee.github.io

• Statistics
• Information science
• Information retrieval
• Machine learning
• Learning to rank
• Monotone likelihood ratio
• K-nearest neighbors algorithm
• Random sample consensus

Exercises for Stat I The following exercises are to give you some practice on the material covered. The first two problems come from the Stat 135 final. 1. Let X1 , ..., Xn be a sample of iid random variables with the de

Source URL: cwick.co.nz

Random Sampling of Alternatives for Route Choice Modeling Emma Frejinger, Transport and Mobility Laboratory, EPFL Michel Bierlaire, Transport and Mobility Laboratory, EPFL Conference paper STRC 2007

Source URL: www.strc.ch

• Probability theory
• Network theory
• Mathematics
• Statistics
• Stochastic processes
• Sampling
• Survey methodology
• Random walk
• Shortest path problem
• Importance sampling
• Simple random sample
• Probability distribution

Pseudo-code for the RAndom SAmple Consensus (RANSAC) Algorithm RANSAC is an iterative algorithm which can be used to estimate parameters of a statistical model from a set of observed data which contains outliers. Below w

Source URL: learning.eng.cam.ac.uk

This Washington Post/Kaiser Family Foundation poll was conducted by telephone January 15 – March 29, 2015, among a random national sample of 1,053 adults age 17 to 26 who are current or recent undergraduate students at

Source URL: s3.documentcloud.org

2. Effective Approximations of Matching Priors 1. Summary How can we achieve truly robust dense, real-time matching? The strong priors generally available on image correspondence problems, are often used partially and p

Source URL: www.margaritachli.com

• Statistics
• Mathematics
• Random sample consensus
• SRI International
• Matching

Statistical Reasoning in Public Health, 2009 Homework #2 1. Two investigators are interested in studying the health of menyears old in Baltimore City. Investigator A plans to take a random sample of 100 men age 18

Source URL: ocw.jhsph.edu

Exponential Reservoir Sampling for Streaming Language Models Ashwin Lall Benjamin Van Durme Miles Osborne∗ School of Informatics Mathematics and Computer Science

Source URL: www.aclweb.org

• Mathematical analysis
• Statistical theory
• Probability and statistics
• Sampling techniques
• Infinitely divisible probability distributions
• Survival analysis
• Sampling
• Survey methodology
• Simple random sample
• Reservoir sampling
• Exponential distribution
• Perplexity