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Michael F. P. O'Boyle

2 accepted papers

2018

SLAMBench2: Multi-Objective Head-to-Head Benchmarking for Visual SLAM

ICRA 2018poster

SLAM is becoming a key component of robotics and augmented reality (AR) systems. While a large number of SLAM algorithms have been presented, there has been little effort to unify the interface of such algorithms, or to perform a holistic comparison of their capabilities. This is a problem since dif…

Cited by 79SourcecodeScholar
2015

Introducing SLAMBench, a performance and accuracy benchmarking methodology for SLAM

ICRA 2015poster

Real-time dense computer vision and SLAM offer great potential for a new level of scene modelling, tracking and real environmental interaction for many types of robot, but their high computational requirements mean that use on mass market embedded platforms is challenging. Meanwhile, trends in low-c…

Cited by 211SourceScholar