@inproceedings{gslamICCV2019,
	title={GSLAM: A General SLAM Framework and Benchmark},
	author={Yong Zhao, Shibiao Xu, Shuhui Bu, Hongkai Jiang, Pengcheng Han},
	booktitle={Proceedings of the IEEE International Conference on Computer Vision},
	year={2019},
	organization={IEEE}
}

@article{gslam2019,
	title={GSLAM: A General SLAM Framework and Benchmark},
	author={Yong Zhao, Shibiao Xu, Shuhui Bu, Hongkai Jiang, Pengcheng Han},
	journal={arXiv:1902.07995 },
	year={2019}
}

gslam tests --gtest_filter=*

gslam qviz orbslam play -dataset dataset_path

# Play kitti with monocular mode
gslam qviz play -dataset <dataset_path>/odomentry/color/00/mono.kitti

# Play kitti with stereo mode
gslam qviz play -dataset <dataset_path>/odomentry/color/00/stereo.kitti

# Play TUM RGBD Dataset (associate.txt file prepared)
gslam qviz play -dataset <dataset_path>/rgbd_dataset_freiburg1_360/.tumrgbd

# Play TUM Monocular (images unziped)
gslam qviz play -dataset <dataset_path>/calib_narrowGamma_scene1/.tummono

# Play EuRoC Dataset with IMU frames
gslam qviz play -dataset <dataset_path>/EuRoC/MH_01_easy/mav0/.euroc

# Play NPU DroneMap Dataset
gslam qviz play -dataset <dataset_path>/DroneMap/phantom3-village/phantom3-village-kfs/.npudronemap
gslam qviz play -dataset <dataset_path>/DroneMap/phantom3-village/phantom3-village-unified/.npudronemap

gslam qviz play -dataset <dataset_path>/odomentry/color/00/mono.kitti -playspeed 2.

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