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Location: Zhengzhou
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Location: Zhengzhou
A list of papers about point cloud based place recognition, also known as loop closure detection in SLAM (processing)
CrossLoc3D: Aerial-Ground Cross-Source 3D Place Recognition -- ICCV 2023
[TII 2023] A Cross-View Transformer Network for LiDAR-Based Place Recognition in Autonomous Driving Environments.
Deepin Wine for Ubuntu/Debian
[RA-L 23] Heterogeneous Deep Metric Learning for Ground and Aerial Point Cloud-Based Place Recognition
Benchmark for lidar and visual place recognition
[IROS2022] Official repository of InCloud: Incremental Learning for Point Cloud Place Recognition, Published in IROS2022 https://arxiv.org/abs/2203.00807
[IEEE RA-L 2024] LCPR: A Multi-Scale Attention-Based LiDAR-Camera Fusion Network for Place Recognition
LiDAR Image Pretraining for Visual Place Recognition
Adaptive Fusion of LiDAR Height-sliced BEV and Vision for Place Recognition
A New Horizon: Employing Map Clustering Similarity for LiDAR-based Place Recognition
MinkLoc3Dv2: Improving Point Cloud Based Place Recognition with Ranking-based Loss and Large Batch Training
MinkLoc++: Lidar and Monocular Image Fusion for Place Recognition
Image to point cloud place recognition without depth estimation modules.
OverlapMamba: Novel Shift State Space Model for LiDAR-based Place Recognition
OverlapNet-pytorch版本
OverlapNet-基于Tensorflow2.4版本的 for easier reproducing
[RAL/IROS 2022] OverlapTransformer: An Efficient and Yaw-Angle-Invariant Transformer Network for LiDAR-Based Place Recognition.
[IEEE RA-L 2024] This repository contains the implementation code for the paper "P-GAT : Pose-Graph Attentional Network for Lidar Place Recognition".
PatchAugNet: Patch feature augmentation-based heterogeneous point cloud place recognition in large-scale street scenes
This repository contains the report that we submited upon finishing a two-person team project. The project is to leverage GNNs and point clouds for the place recognition task. Due to confidentialty reasons, code is not uploaded.
A 3D point cloud descriptor for place recognition
PointAttentionVLAD : A two-stage self-attenion network for point cloud based place recognition
PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition, CVPR 2018
tensorrt8 && cuda && libtorch implementation of rangenet++
LiDAR place recognition. For fast python support.
SE(3)-Equivariant Point Cloud-based Place Recognition
[RA-L 2023] Official Repository of "Spectral Geometric Verification: Re-Ranking Point Cloud Retrieval for Metric Localization", RA-L, Volume 8, Issue 5, May 2023
lidar place recognition
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