SLAMBench 3.0:Systematic Automated Reproducible Evaluation of SLAM Systems for Robot Vision Challenges and Scene Understanding

Autor: F P OaBoyle Michael, Steve Furber, Sajad Saeedi, Andy Nisbet, Mikel Luján, Graham Riley, Andrew J. Davison, Bruno Bodin, Paul Gafton, H J Kelly Paul, Mihai Bujanca, Barry Lennox

Publikováno v: Bujanca, M, Gafton, P, Saeedi, S, Nisbet, A, Bodin, B, O'Boyle, M F P, Davison, A J, Kelly, P H J, Riley, G, Lennox, B, Luján, M & Furber, S 2019, SLAMBench 3.0 : Systematic Automated Reproducible Evaluation of SLAM Systems for Robot Vision Challenges and Scene Understanding . in 2019 International Conference on Robotics and Automation (ICRA) . Institute of Electrical and Electronics Engineers (IEEE), pp. 6351-6358, 2019 IEEE International Conference on Robotics and Automation (ICRA), Montreal, Canada, 20/05/19 . https://doi.org/10.1109/ICRA.2019.8794369
2019 International Conference on Robotics and Automation (ICRA)
ICRA
Bujanca, M, Gafton, P, Saeedi, S, Nisbet, A, Bodin, B, O'Boyle, M F, Davison, A J, Kelly, P H, Riley, G, Lennox, B, Luján, M & Furber, S 2019, SLAMBench 3.0 : Systematic Automated Reproducible Evaluation of SLAM Systems for Robot Vision Challenges and Scene Understanding . in 2019 International Conference on Robotics and Automation (ICRA) . 2019 International Conference on Robotics and Automation (ICRA), IEEE . https://doi.org/10.1109/ICRA.2019.8794369

As the SLAM research area matures and the number of SLAM systems available increases, the need for frameworks that can objectively evaluate them against prior work grows. This new version of SLAMBench moves beyond traditional visual SLAM, and provide

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https://www.pure.ed.ac.uk/ws/files/146469407/SLAMBench_3.0_BUJANCA_DOA02042019_AFV.pdf