Prof. Dr. Didier Stricker
Dr. Alain Pagani
Dr. Gerd Reis
Eric Thil
Keonna Cunningham
Dr. Oliver Wasenmüller
Dr. Gabriele Bleser
Dr. Bruno Mirbach
Dr. Jason Raphael Rambach
Dr. Bertram Taetz
Dr. Muhammad Zeshan Afzal
Sk Aziz Ali
Mhd Rashed Al Koutayni
Murad Almadani
Alaa Alshubbak
Yuriy Anisimov
Jilliam Maria Diaz Barros
Ramy Battrawy
Hammad Butt
Mahdi Chamseddine
Steve Dias da Cruz
Fangwen Shu
Torben Fetzer
Ahmet Firintepe
Sophie Folawiyo
David Michael Fürst
Kamalveerkaur Garewal
Christiano Couto Gava
Leif Eric Goebel
Tewodros Amberbir Habtegebrial
Simon Häring
Khurram Hashmi
Jigyasa Singh Katrolia
Andreas Kölsch
Onorina Kovalenko
Stephan Krauß
Paul Lesur
Muhammad Jameel Nawaz Malik
Michael Lorenz
Markus Miezal
Mina Ameli
Nareg Minaskan Karabid
Mohammad Minouei
Pramod Murthy
Mathias Musahl
Peter Neigel
Manthan Pancholi
Qinzhuan Qian
Engr. Kumail Raza
Dr. Nadia Robertini
María Alejandra Sánchez Marín
Dr. Kripasindhu Sarkar
Alexander Schäfer
Pascal Schneider
René Schuster
Mohamed Selim
Lukas Stefan Staecker
Dennis Stumpf
Yongzhi Su
Xiaoying Tan
Yaxu Xie
Dr. Vladislav Golyanik
Dr. Aditya Tewari
André Luiz Brandão
CoRBS: Comprehensive RGB-D Benchmark for SLAM using Kinect v2
CoRBS: Comprehensive RGB-D Benchmark for SLAM using Kinect v2
IEEE Winter Conference on Applications of Computer Vision (WACV-2016), March 7-9, Lake Placid, NY, USA
- Abstract:
- In scientific evaluation public datasets and benchmarks are indispensable to perform objective assessment. In this paper we present a new Comprehensive RGB-D Benchmark for SLAM (CoRBS). In contrast to state-of-the-art RGB-D SLAM benchmarks, we provide the combination of real depth and color data together with a ground truth trajectory of the camera and a ground truth 3D model of the scene. Our novel benchmark allows for the first time to independently evaluate the localization as well as the mapping part of RGB-D SLAM systems with real data. We obtained the ground truth for the trajectory using an external motion capture system and for the scene geometry via an external 3D scanner, each with sub-millimeter precision. With precise calibration and systematic validation we ensured the high quality of CoRBS. Our dataset contains twenty image sequences of four different scenes captured with a Kinect v2. We provide all data in a global coordinate system to enable direct evaluation without any further alignment or calibration.
- Keywords:
- CoRBS, dataset, benchmark, SLAM, RGB-D, Kinect v2, geometry, trajectory