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Graham Riley

2 accepted papers

2019

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

ICRA 2019poster

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 provides new support for scene understanding and non-rigi…

Cited by 47SourceScholar
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