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Hi! SLAMBench is an excellent library.But I can not make it work well with AirSim datasets.My dataset contains rgb and depth images, as well as the groudtruth. I converted the dataset to TUM format and then make it into slambench file. Then I ran the following command in my terminal window:
./build/bin/pangolin_loader -i datasets/TUM/airsim/rgbd.slam -load ./build/lib/liborbslam2-original-library.so
ORBSLAM2 can run but did not output the correct results. And I find the same thing for the other SLAM algorithm.But these algorithms work well with TUM dataset downloaded from the Internet. So I think the problem is caused by my dataset. The screencap of pangolin is as follows:
output.mp4
Can you give me some advice?
The text was updated successfully, but these errors were encountered:
Hi! SLAMBench is an excellent library.But I can not make it work well with AirSim datasets.My dataset contains rgb and depth images, as well as the groudtruth. I converted the dataset to TUM format and then make it into slambench file. Then I ran the following command in my terminal window:
./build/bin/pangolin_loader -i datasets/TUM/airsim/rgbd.slam -load ./build/lib/liborbslam2-original-library.so
ORBSLAM2 can run but did not output the correct results. And I find the same thing for the other SLAM algorithm.But these algorithms work well with TUM dataset downloaded from the Internet. So I think the problem is caused by my dataset. The screencap of pangolin is as follows:
output.mp4
Can you give me some advice?
The text was updated successfully, but these errors were encountered: