<--- Back to Details
First PageDocument Content
Physics / Mechanics / Theory of relativity / Classical mechanics / Aircraft instruments / Technology / Surveying / Frames of reference / Visual odometry / Inertial frame of reference / Spacetime / Inertial navigation system
Date: 2018-01-22 21:35:52
Physics
Mechanics
Theory of relativity
Classical mechanics
Aircraft instruments
Technology
Surveying
Frames of reference
Visual odometry
Inertial frame of reference
Spacetime
Inertial navigation system

IEEE ROBOTICS AND AUTOMATION LETTERS. PREPRINT VERSION. ACCEPTED DECEMBER, Ultimate SLAM? Combining Events, Images, and IMU for Robust

Add to Reading List

Source URL: arxiv.org

Download Document from Source Website

File Size: 2,43 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