A viewer for visualizing, tracking and mapping data from CARLA simulator.
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Updated
Jul 25, 2024 - Python
A viewer for visualizing, tracking and mapping data from CARLA simulator.
A 3D Mapping Algorithm that generates PointCloud2 Messages which can be used with OctoMap or Cartographer to visualise 3D Voxels on Rviz/Rviz2
The Light Imaging Detection and Ranging (LIDAR) is a method for measuring distances (ranging) by illuminating the target with laser light and measuring the reflection with a sensor. The LIDAR Sensor escalates the entire mechanism with great efficiency which is notified with process and main activation codes.
ROSE: A LOAM / SLAM package specifically for reducing vertical drift errors in generalized terrains.
A modular software architecture for Automatic Plant Phenotyping
Lidar Ouster OS1-128
benchmark scripts for LiDAR or LiDAR-inertial odometry research
LIDAR SLAM for Autonomous Vehicles Playground
PyTorch reimplementation for "LO-Net: Deep Real-time Lidar Odometry" https://arxiv.org/abs/1904.08242
Official implementation of the ITSC 2023 paper "LiDAR View Synthesis for Robust Vehicle Navigation Without Expert Labels"
LoRCoN-LO: Long-term Recurrent Convolutional Network-based LiDAR Odometry
[IROS 2023] Fast LiDAR-Inertial Odometry via Incremental Plane Pre-Fitting and Skeleton Tracking
We provide the code, pretrained models, and scripts to reproduce the experiments of the paper "Towards All-Weather Autonomous Driving". All code was implemented in Python using the deep learning framework PyTorch.
Easy description to run and evaluate A-LOAM with KITTI-data
ECTLO: Effective Continuous-Time Odometry Using Range Image for LiDAR with Small FoV.(IROS2023)
LiDAR Guide
This dataset is captured using a Velodyne VLP-16, which is mounted on an UGV - Clearpath Jackal, on Stevens Institute of Technology campus
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