Noname manuscript No. (will be inserted by the editor) Probabilistic Egomotion for Stereo Visual Odometry H. Silva · A. Bernardino · E. Silva

Source URL: vislab.isr.ist.utl.pt

Recent Advances in Motion Understanding Steven S. Beauchemin1, Ruzena Bajcsy1 , and John L. Barron2 GRASP Laboratory School of Engineering and Applied Science University of Pennsylvania Philadelphia PA

Source URL: www.csd.uwo.ca

• Visual perception
• Perception
• Anatomy
• Computer vision
• Mental processes
• Peripheral vision
• Optical flow
• Egomotion
• Visual cortex
• Mind
• Optics
• Vision

Accurate Visual Odometry from a Rear Parking Camera Steven Lovegrove, Andrew J. Davison and Javier Iba˜nez-Guzm´an Abstract— As an increasing number of automatic safety and navigation features are added to modern veh

Source URL: www.doc.ic.ac.uk

• Military science
• Robotic sensing
• Visual odometry
• Computer vision
• Robot control
• Egomotion
• Mixed reality
• Odometry
• Global Positioning System
• Technology
• Surveying
• Reality

Sparse Scene Flow Segmentation for Moving Object Detection in Urban Environments Philip Lenz, Julius Ziegler, Andreas Geiger and Martin Roser Institute of Measurement and Control Systems Karlsruhe Institute of Technology

Source URL: www.cvlibs.net

• Optics
• Segmentation
• Pose
• Egomotion
• Optical flow
• Object recognition
• Scale-invariant feature transform
• Collision detection
• Computer vision
• Vision
• Imaging

StereoScan: Dense 3d Reconstruction in Real-time Andreas Geiger, Julius Ziegler and Christoph Stiller Department of Measurement and Control Karlsruhe Institute of Technology {geiger,ziegler,stiller}@kit.edu

Source URL: www.cvlibs.net

• Surveying
• Stereoscopy
• Photogrammetry
• Visual odometry
• Egomotion
• Odometry
• Stereophonic sound
• Correspondence problem
• Image resolution
• Imaging
• Computer vision
• Geodesy

Are we ready for Autonomous Driving? The KITTI Vision Benchmark Suite Andreas Geiger and Philip Lenz Karlsruhe Institute of Technology Raquel Urtasun

Source URL: www.cvlibs.net

• Visual odometry
• Optical flow
• Egomotion
• Pose
• Stereoscopy
• Caltech 101
• Stereopsis
• Motion estimation
• Segmentation
• Imaging
• Computer vision
• Optics

Integration of Visual and Inertial Information for Egomotion: a Stochastic Approach Justin Domke and Yiannis Aloimonos Computer Vision Laboratory, Dept. of Computer Science University of Maryland, College Park, MD 20742

Source URL: users.cecs.anu.edu.au

• Relativity
• Astrodynamics
• Inertial frame of reference
• Physics
• Classical mechanics
• Introductory physics

A Probabilistic Framework for Correspondence and Egomotion Justin Domke, Yiannis Aloimonos Computer Vision Laboratory, Dept. of Computer Science University of Maryland, College Park, MD[removed]USA {domke,yiannis}@cs.umd.e

Source URL: users.cecs.anu.edu.au

• Epipolar geometry
• Statistics
• Bayesian statistics
• Estimation theory
• Likelihood function

2011 IEEE International Conference on Robotics and Automation Shanghai International Conference Center May 9-13, 2011, Shanghai, China Visual Odometry Learning for Unmanned Aerial Vehicles Vitor Guizilini and Fabio Ramos

Source URL: www-personal.acfr.usyd.edu.au

• Robotic sensing
• Visual odometry
• Estimation theory
• Computer vision
• Optical flow
• Egomotion
• Normal distribution
• Covariance
• Global Positioning System
• Statistics
• Technology
• Surveying

2012 IEEE International Conference on Robotics and Automation RiverCentre, Saint Paul, Minnesota, USA May 14-18, 2012 Semi-parametric Models for Visual Odometry Vitor Guizilini and Fabio Ramos

Source URL: www-personal.acfr.usyd.edu.au

• Visual odometry
• Robot control
• Kalman filter
• Egomotion
• Optical flow
• Bundle adjustment
• Omnidirectional camera
• Regression analysis
• Gaussian process
• Statistics
• Surveying
• Robotic sensing