SLAMB&MAI: a comprehensive methodology for SLAM benchmark and map accuracy improvement
(2024)
Journal Article
Liu, S., Sun, E., & Dong, X. (2024). SLAMB&MAI: a comprehensive methodology for SLAM benchmark and map accuracy improvement. Robotica, https://doi.org/10.1017/S0263574724000079
SLAM Benchmark plays a pivotal role in the field by providing a common ground for performance evaluation. In this paper, a novel methodology of simultaneous localization and mapping benchmark and map accuracy improvement (SLAMB&MAI) is introduced. It... Read More about SLAMB&MAI: a comprehensive methodology for SLAM benchmark and map accuracy improvement.