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wildcat-slam's Introduction

Wildcat SLAM

This is an unofficial demonstrative implentation of Wildcat SLAM which is described in the following paper:

@article{ramezani2022wildcat,
  title={Wildcat: Online continuous-time 3d lidar-inertial slam},
  author={Ramezani, Milad and Khosoussi, Kasra and Catt, Gavin and Moghadam, Peyman and Williams, Jason and Borges, Paulo and Pauling, Fred and Kottege, Navinda},
  journal={arXiv preprint arXiv:2205.12595},
  year={2022}
}

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1. Prerequisites

1.1 Ubuntu and ROS

Recommend: Ubuntu 20.04 and ROS Noetic.

1.2. Dependencies

Ceres Solver

sudo apt install libceres-dev

PCL

sudo apt install libpcl-dev

fmt

sudo apt install libfmt-dev

libbenchmark-dev

sudo apt install libbenchmark-dev

protobuf

sudo apt install protobuf-compiler

2. Build Wildcat SLAM

Clone the repository and catkin_make.

3. License

GPLv3.

wildcat-slam's People

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wildcat-slam's Issues

problem when test hilti 2022

Thanks for ur generous opensource. When I test exp07_long_corridor.bag in hilti 2022 dataset on [https://hilti-challenge.com/dataset-2022.html], I find that it runs very slow and cannot catch up with the play of rosbag. And even worse that the result on rviz do not move, could you kindly offer a help for it ?

about pose predict function

Thank you for your work first, I m curious that PredictPoseOfNewImuState function in lidar_odometry.cpp. i3.pos = (i1.rot * (i1.acc - ba) + grav) * dt * dt + 2 * i2.pos - i1.pos; why did you predict position in such a way? looking forward for your reply.

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