<--- Back to Details
First PageDocument Content
Stereoscopy / Robotic sensing / 3D imaging / Computer vision / Vision / Stereo cameras / Stereopsis / International Conference On Intelligent Robots and Systems / Visual odometry / Imaging / Robotics / Optics
Date: 2015-02-20 15:20:31
Stereoscopy
Robotic sensing
3D imaging
Computer vision
Vision
Stereo cameras
Stereopsis
International Conference On Intelligent Robots and Systems
Visual odometry
Imaging
Robotics
Optics

Pushbroom Stereo for High-Speed Navigation in Cluttered Environments Andrew J. Barry and Russ Tedrake Abstract— We present a novel stereo vision algorithm that is capable of obstacle detection on a mobile ARM processor

Add to Reading List

Source URL: abarry.org

Download Document from Source Website

File Size: 2,65 MB

Share Document on Facebook

Similar Documents

A Tutorial on Quantitative Trajectory Evaluation for Visual(-Inertial) Odometry Zichao Zhang, Davide Scaramuzza Abstract— In this tutorial, we provide principled methods to quantitatively evaluate the quality of an est

A Tutorial on Quantitative Trajectory Evaluation for Visual(-Inertial) Odometry Zichao Zhang, Davide Scaramuzza Abstract— In this tutorial, we provide principled methods to quantitatively evaluate the quality of an est

DocID: 1xTRn - View Document

Off-board Visual Odometry and Control of an Ultralight Quadrotor MAV Kun Li∗, Rui Huang, Swee King Phang, Shupeng Lai, Fei Wang, Ping Tan, Ben M. Chen and Tong Heng Lee Department of Electrical and Computer Engineering

Off-board Visual Odometry and Control of an Ultralight Quadrotor MAV Kun Li∗, Rui Huang, Swee King Phang, Shupeng Lai, Fei Wang, Ping Tan, Ben M. Chen and Tong Heng Lee Department of Electrical and Computer Engineering

DocID: 1vbBj - View Document

Realtime edge-based visual odometry for a monocular camera Juan Jos´e Tarrio, Sol Pedre Instituto Balseiro - CNEA Bustillo 9500, Bariloche, Rio Negro, Argentina ,

Realtime edge-based visual odometry for a monocular camera Juan Jos´e Tarrio, Sol Pedre Instituto Balseiro - CNEA Bustillo 9500, Bariloche, Rio Negro, Argentina ,

DocID: 1tjsx - View Document

Real-Time Visual Odometry from Dense RGB-D Images Frank Steinbrücker Jürgen Sturm Daniel Cremers Department of Computer Science, Technical University of Munich, Germany {steinbrf,sturmju,cremers}@in.tum.de

Real-Time Visual Odometry from Dense RGB-D Images Frank Steinbrücker Jürgen Sturm Daniel Cremers Department of Computer Science, Technical University of Munich, Germany {steinbrf,sturmju,cremers}@in.tum.de

DocID: 1t5z4 - View Document