Відео

Is there any open source code for this?

What is the difference between lidar sparse depth and depth map (dense depth) itself? Is the Gaussian splatting quality better with sparse depth? Kind regards

Seems nice! What is the name of this work ?

Is the paper or code available ??

lacks comparsion....

can you tell the labelling method here? thank you!

is the code available ?

Hi, I'm quite interested in your amazing work. I notice that your model requires the input data as a structure of NDT(mean value and covariance matrix), while the Oxford dataset, as well as the inhouse_datasets, presented by PointNetVLAD, are original points(x,y,z). Could you please release the preprocessing code so I can test your work more easily? Many thanks.

Hi

这个牛皮啊

could you share the source code please

this is amazing work, will the code be available on Git for people to study?

Paper Link: ieeexplore.ieee.org/document/8913461

Paper Link www.researchgate.net/publication/336439620_Learning_Kalman_Network_A_deep_monocular_visual_odometry_for_on-road_driving

is loop closure addressed in this method even though it's titled Visual Odometry?

Is the source code available now? Where can I try it?

Hello. I want to test this research on real condition. Is the code avaiable to see on Github now?

Hello is something commercial? Thanks

can i get your code？

Just wondering is it error accumulated? Because error become bigger and bigger.

Very good work. What kind of hardware were you running this on? A Nvidia Jetson?

Excellent results! Curious to check how this compares to other non Deep learning based SLAM. Is the code available to see on github?

excellent work!!

Could you share your code source?

I'm really impressed with your results! You wrote in the paper that the source code will be released once the paper got accepted, Is it already available, if so where I can find it?

coulde you please put your paper add affter the video

If you think our paper is helpful for your research, please consider citing our paper. arxiv.org/pdf/1703.06370.pdf

If you think our paper is helpful for your research, please consider citing our paper. arxiv.org/pdf/1703.04699.pdf

If you think our paper is helpful for your research, please consider citing our paper. arxiv.org/abs/1710.00132

Nice smurf action.. But wow.. Semantics.. This will be great for rendering and transfering real-world textures to artificial environments. Or games..

Is the audio not rendered correctly?

Where is your open code? Please tell me to research,thanks.

This is not semantic slam, right? all you did is just labeling the point cloud while doing old fashion slam

hi, do you know how to code for obstacle avoidance for this particular robot?:)

is there any paper for this project? thank you