Research Article

MISD-SLAM: Multimodal Semantic SLAM for Dynamic Environments

Table 4

Time evaluation of MISD-SLAM in dynamic sequences of TUM RGB-D datasets (ms). The results of each row are the running time of corresponding modules in each sequence. The last row is the average time of above sequences in corresponding modules.

SequenceORB feature extraction (ms)Instance segmentation (ms)Multiview geometry (ms)Semantic map construction (ms)

Sitting_static12.98136.465144.085121.388
Walking_static14.57536.109205.484296.667
Walking_xyz14.14636.150180.533338.903
Walking_rpy12.34536.640200.591274.928
Walking_halfsphere12.48436.536161.401244.241
Average time13.30636.380178.419255.225