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Devkit for the Boreas autonomous driving dataset.
Python implementation of LOAM (Lidar Odometry and Mapping) for rapid prototyping or educational purpose
Python package for the evaluation of odometry and SLAM
LoRCoN-LO: Long-term Recurrent Convolutional Network-based LiDAR Odometry
This projects proposes a novel temporal attention based neural network architecture for computing visual odometry using the sequence of images.
[ICRA'23] DytanVO: Visual Odometry in Dynamic Environments
Codes for AAAI2023 paper "TransLO: A Window-Based Masked Point Transformer Framework for Large-Scale LiDAR Odometry"
EfficientLO-Net: Efficient 3D Deep LiDAR Odometry (PAMI 2023)
KITTI odometry evaluation tool
RAM-VO: A Recurrent Attentional Model for Visual Odometry.
pySLAM is a visual SLAM pipeline in Python for monocular, stereo and RGBD cameras. It supports many modern local and global features, different loop-closing methods, a volumetric reconstruction pip…
Code for "Efficient Deep Visual and Inertial Odometry with Adaptive Visual Modality Selection", ECCV 2022
Conversion from ROSBAG (.bag) to image (.png) and points cloud (.bin), including ROSBAG decoding, pcd2bin and file directory extraction.
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-IC…
Non-official implement of Paper：CBAM: Convolutional Block Attention Module
CAE-LO: LiDAR Odometry Leveraging Fully Unsupervised Convolutional Auto-Encoder for Interest Point Detection and Feature Description
Self-supervised Deep LiDAR Odometry for Robotic Applications
UnDeepVO - Implementation of Monocular Visual Odometry through Unsupervised Deep Learning
CNN SLAM implementation of https://arxiv.org/abs/1704.03489
A list of papers about point clouds registration
A collection of deep learning based localization models
Introduction and tutorial of GPU server configuration in 312 Lab in Central South University