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MLAD Challenge Point Cloud Viewer

A simple point cloud viewer for visualizing the data of MLAD challenge, ECCV 2020.

1. Installation

1.1 Required Dependencies

The viewer downloads and compiles Pangolin, Eigen, and Sophus automatically to the thirdparty/ folder during compiling, so you need to make sure that your system fulfills the requirements of those 3 libraries.

1.2 Build

	mkdir build
	cd build
	cmake ..
	make -j6

2 Usage

	bin/pcViewer_dataset data=${DATA_PATH}/recording_2020-03-24_17-36-22

viewer

3 Acknowledgements

The point cloud viewer is inherited from the viewer of Direct Sparse Odometry from Jakob Engel. We also would like to thank Parika Goel for her contribution to the point cloud viewer during her internship at Artisense.