Reproducing KITTI benchmark results

laboshinl / loam_velodyne

Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.

http://wiki.ros.org/loam_velodyne

Other

1.71k stars 952 forks source link

Reproducing KITTI benchmark results #94

Open rdube opened 6 years ago

rdube commented 6 years ago

Hi guys, did anyone manage to reproduce the results for the KITTI benchmark? We are looking to achieve this on our end and would be happy to get in touch with anyone who worked towards this. Thanks!

Shantnu12345 commented 6 years ago

I am working towards this. Please ping me on shantnukakkar1992@gmail.com

Xiangzhaohong commented 6 years ago

I am working on this. What should I do to reproduce the results? Thanks!!

jianrui1 commented 5 years ago

@Shantnu12345 Are you reproduce the result? Can you help me out Thank you

andre-nguyen commented 5 years ago

@rdube Read "Low-drift and Real-time Lidar Odometry and Mapping", the implementation submitted to Kitti differs in a few ways to this implementation.

PeiyueYu commented 3 years ago

@rdube Read "Low-drift and Real-time Lidar Odometry and Mapping", the implementation submitted to Kitti differs in a few ways to this implementation.

I have read ther paper, but I didn't find the implementation submitted to Kitti in this paper, could you please point out the section?

andre-nguyen commented 3 years ago

So I'm guessing he essentially wrote a single threaded version