<--- Back to Details
First PageDocument Content
Robot navigation / Cartography / Robotic mapping / Robot / Mobile robot navigation / Kinematics / Industrial robot / Mobile robot / Odometry / Robotics / Technology / Robot control
Date: 2013-10-22 12:52:34
Robot navigation
Cartography
Robotic mapping
Robot
Mobile robot navigation
Kinematics
Industrial robot
Mobile robot
Odometry
Robotics
Technology
Robot control

Lidar-based Teach-and-Repeat of Mobile Robot Trajectories Christoph Sprunk* Gian Diego Tipaldi* Abstract— Automation of logistics tasks for small lot sizes and

Add to Reading List

Source URL: first-mm.informatik.uni-freiburg.de

Download Document from Source Website

File Size: 1,87 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