Very nice. The last minute looks even greater than the rest. I love to see the model moving thanks to loop closure.

Hi ~ couple of questions, What is the lidar used and is the method opensource?

Did you use imu for attitude compensation?

Have you publish the paper about this method or open-source the code ?

Woww looks awesome. I am also starting out on my work for 3d lidar SLAM. I already have experience with 2D version. Would you be kind enough to share some details ? Any paper or relevant literature you followed ?

@yuhunk8053

4 жыл бұрын

What does 2d experience mean? Single-line or multi-line mapping? 3d slam You can refer to lego-loam or hdl-slam

Nice work. I want to know what does 'odometry-less' mean? Does it mean that odometry is provided by other modules and lidar is only responsible for mapping?

@rubensleite5838

Жыл бұрын

I guess this means the odometry comes from the sequential lidar point cloud registration

@diodin8587

7 ай бұрын

It means there is no odometry(relative-pose) factor in the factor graph but directly using scan matching cost.@@rubensleite5838

is this the same tech as GEOSLAM?

Hi, impressive video and technology. Can you please send me a step by step tutorial of how to achieve this?

at 7:40 it seems to correct itself, can anyone explain what happened?

@romaing.1510

Жыл бұрын

You can search for "loop closure SLAM" to have some more details