Pinned Repositories
Active_SLAM_Based_on_Information_Theory
Information Theoretic Exploration with GP and BO
CVTNet
[TII 2023] A Cross-View Transformer Network for LiDAR-Based Place Recognition in Autonomous Driving Environments.
Multiple_Lidar_Calibration
The code for calibration between lidars. (Chinese Version)
Mutual-Pose-Recognition-Based-on-Multiple-Cues-in-MRS
[ICUS 2021 Best Paper/US 2023] Mutual Pose Recognition Based on Multiple Cues in Multi-Robot Systems.
occupancy_grid_mapping
Here is the method to build a grid map and get rid of the laser distortion
SeqOT
[TIE 2022] SeqOT: A Spatial-Temporal Transformer Network for Place Recognition Using Sequential LiDAR Data.
stairs_recognition
Recognize stairs with lidar.
Cam4DOcc
[CVPR 2024] Cam4DOcc: Benchmark for Camera-Only 4D Occupancy Forecasting in Autonomous Driving Applications
OverlapTransformer
[RAL/IROS 2022] OverlapTransformer: An Efficient and Yaw-Angle-Invariant Transformer Network for LiDAR-Based Place Recognition.
OverlapNet
OverlapNet - Loop Closing for 3D LiDAR-based SLAM (chen2020rss)
BIT-MJY's Repositories
BIT-MJY/CVTNet
[TII 2023] A Cross-View Transformer Network for LiDAR-Based Place Recognition in Autonomous Driving Environments.
BIT-MJY/SeqOT
[TIE 2022] SeqOT: A Spatial-Temporal Transformer Network for Place Recognition Using Sequential LiDAR Data.
BIT-MJY/Multiple_Lidar_Calibration
The code for calibration between lidars. (Chinese Version)
BIT-MJY/occupancy_grid_mapping
Here is the method to build a grid map and get rid of the laser distortion
BIT-MJY/Mutual-Pose-Recognition-Based-on-Multiple-Cues-in-MRS
[ICUS 2021 Best Paper/US 2023] Mutual Pose Recognition Based on Multiple Cues in Multi-Robot Systems.
BIT-MJY/awesome-point-cloud-place-recognition
A list of papers about point cloud based place recognition, also known as loop closure detection in SLAM (processing)
BIT-MJY/bit-graduate-thesis
Refer to https://github.com/BITNP/BIThesis
BIT-MJY/pc-nerf
BIT-MJY/Patch-NetVLAD
Code for the CVPR2021 paper "Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition"
BIT-MJY/OverlapTransformer
The code for our paper submitted to RAL/IROS 2022: OverlapTransformer: An Efficient and Rotation-Invariant Transformer Network for LiDAR-Based Place Recognition.
BIT-MJY/BIT-MJY.github.io
A simple and elegant Jekyll theme for an academic personal homepage
BIT-MJY/Cam4DOcc
Cam4DOcc: Benchmark for Camera-Only 4D Occupancy Forecasting in Autonomous Driving Applications
BIT-MJY/CSC-research-progress-report
A example for CSC research progress report created by Xieyuanli at University of Bonn
BIT-MJY/Cues_Poses_Datasets
Here is the toy datasets about mapping multiple cues to mutual poses.
BIT-MJY/Eric-Wang0506.github.io
Eric Wang's website.
BIT-MJY/faiss
A library for efficient similarity search and clustering of dense vectors.
BIT-MJY/kitti360Scripts
BIT-MJY/LCPR
LCPR: A Multi-Scale Attention-Based LiDAR-Camera Fusion Network for Place Recognition
BIT-MJY/LiDAR-MOS
(LMNet) Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data (RAL/IROS 2021)
BIT-MJY/moco
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
BIT-MJY/OpenOccupancy
[ICCV 2023] OpenOccupancy: A Large Scale Benchmark for Surrounding Semantic Occupancy Perception
BIT-MJY/OverlapNet
OverlapNet - Loop Closing for 3D LiDAR-based SLAM (chen2020rss)
BIT-MJY/OverlapPredator
[CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.
BIT-MJY/PADLoC
LiDAR-Based Deep Loop Closure Detection and Registration using Panoptic Attention
BIT-MJY/PCPNet
PCPNet: An Efficient and Semantic-Enhanced Transformer Network for Point Cloud Prediction.
BIT-MJY/PlotNeuralNet
Latex code for making neural networks diagrams
BIT-MJY/RL-based-Transferable-EMS
Source code for A Comparative Study of Reinforcement Learning-based Transferable Energy Management Strategies for Hybrid Electric Vehicles for IV 2022.
BIT-MJY/scancontext
Global LiDAR descriptor for place recognition and long-term localization
BIT-MJY/semantic-kitti-api
SemanticKITTI API for visualizing dataset, processing data, and evaluating results.
BIT-MJY/tensor2tensor
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.