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[RA-L 2024] In Defense of LiDAR-Only Odometry Using an Effective Continuous-Time Trajectory

License: MIT License

CMake 3.36% C++ 25.64% C 70.49% GLSL 0.46% Shell 0.05%
continuous-time lidar-only lidar-slam robotics

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traj-lo's Issues

Be aware of License Terms ๐Ÿ˜‰

Hello, thanks for opening the source code for the benefit of the community.

I'm very happy to see many patterns we've developed with much love and effort for KISS-ICP. It definitely makes your implementation stand against the usual ones we see in LiDAR odometry.

Although I would recommend being a bit more conservative when it comes to copying code from other projects, even when you don't pay for it, there are licensing terms:
https://github.com/PRBonn/kiss-icp/blob/11c7d97d156a7ff72fefdacc3105db4a99805e0e/LICENSE#L13-L14

Just to name a few

struct VoxelBlock {
// buffer of points with a max limit of n_points
std::vector<Eigen::Vector3d> points;
int num_points_;
inline void AddPoint(const Eigen::Vector3d &point) {
if (points.size() < static_cast<size_t>(num_points_))
points.push_back(point);
}
};
struct VoxelHash {
size_t operator()(const Voxel &voxel) const {
const uint32_t *vec = reinterpret_cast<const uint32_t *>(voxel.data());
return ((1 << 20) - 1) &
(vec[0] * 73856093 ^ vec[1] * 19349663 ^ vec[2] * 83492791);
}
};

Looks WAY too similar too
https://github.com/PRBonn/kiss-icp/blob/11c7d97d156a7ff72fefdacc3105db4a99805e0e/cpp/kiss_icp/core/VoxelHashMap.hpp#L36-L51
image

I don't mind at ALL that you reuse some code. Just be mindful of not claiming it as yours, as you claim in your license.

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