LeGO-LOAM, LIO-SAM, LVI-SAM, FAST-LIO2, Faster-LIO, VoxelMap, R3LIVE, Point-LIO, KISS-ICP, DLO, DLIO, Ada-LIO, PV-LIO, SLAMesh, ImMesh, FAST-LIO-MULTI, M-LOAM, LOCUS, SLICT, MA-LIO, CT-ICP, GenZ-ICP, iG-LIO, SR-LIO application and comparison on Gazebo and real
Simulate and control traffic scenarios using deep reinforcement learning to improve traffic management.
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Free · no card · unsubscribe anytimeLeGO-LOAM, LIO-SAM, LVI-SAM, FAST-LIO2, Faster-LIO, VoxelMap, R3LIVE, Point-LIO, KISS-ICP, DLO, DLIO, Ada-LIO, PV-LIO, SLAMesh, ImMesh, FAST-LIO-MULTI, M-LOAM, LOCUS, SLICT, MA-LIO, CT-ICP, GenZ-ICP, iG-LIO, SR-LIO application and comparison on Gazebo and real
SLAM-application has 1.2k stars on GitHub. It has been forked 155 times. SLAM-application is written mainly in C++. It has been in active development since 2021. SLAM-application is available under the BSD-3-Clause license. Its main topics are lidar, lidar-inertial-odometry, lidar-odometry, multi-lidar-inertial-odometry.
LeGO-LOAM, LIO-SAM, LVI-SAM, FAST-LIO2, Faster-LIO, VoxelMap, R3LIVE, Point-LIO, KISS-ICP, DLO, DLIO, Ada-LIO, PV-LIO, SLAMesh, ImMesh, FAST-LIO-MULTI, M-LOAM, LOCUS, SLICT, MA-LIO, CT-ICP, GenZ-ICP, iG-LIO, SR-LIO application and comparison on Gazebo and real
SLAM-application is an open-source project. It is released under the BSD-3-Clause license.
Yes. SLAM-application is free and open source — you can use, modify and self-host it.
SLAM-application is available under the BSD-3-Clause license.
SLAM-application is written mainly in C++.
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Measured from GitHub topics shared by both projects, weighted by how rare each topic is.