[Arxiv'24] OSMLoc: Single Image-Based Visual Localization in OpenStreetMap with Geometric and Seman- tic Guidances

Diff-IP2D: Diffusion-Based Hand-Object Interaction Prediction on Egocentric Videos.

[IROS23] InsMOS: Instance-Aware Moving Object Segmentation in LiDAR Data

[IROS24] TD-NeRF: Novel Truncated Depth Prior for Joint Camera Pose and Neural Radiance Field Optimization

[IEEE RA-L 2024 & ICRA'25] CoFiI2P: Coarse-to-Fine Correspondences-Based Image-to-Point Cloud Registration

[RAL] Keypoint Matching for Point Cloud Registration Using Multiplex Dynamic Graph Attention Networks

[RA-L] LinK3D: Linear Keypoint Representation for 3D LiDAR Point Cloud

[ICRA24] TSCM: A Teacher-Student Model for Vision Place Recognition Using Cross-Metric Knowledge Distillation

[RoboCup] Code for RoboCup Middle Size League Competition by NuBot team from National University of Defense Technology

SegNet4D: Efficient Instance-Aware 4D Semantic Segmentation for LiDAR Point Cloud

[TRO] Fast and Accurate Deep Loop Closing and Relocalization for Reliable LiDAR SLAM

[ICRA 2024] SuperFusion: Multilevel LiDAR-Camera Fusion for Long-Range HD Map Generation

[CVPR 2024] Cam4DOcc: Benchmark for Camera-Only 4D Occupancy Forecasting in Autonomous Driving Applications

[IROS 2024] This repository contains the implementation of our paper: ModaLink: Unifying Modalities for Efficient Image-to-PointCloud Place Recognition

[IEEE RAL'24 & IROS'24] Mobile-Seed: Joint Semantic Segmentation and Boundary Detection for Mobile Robots

Lidar-based Place Recognition Using Bird's-eye View Images

A LiDAR-based complete global localization method.

Building Volumetric Beliefs for Dynamic Environments Exploiting Map-Based Moving Object Segmentation (RAL 2023)

[TITS] reliable dense matching based point cloud registration for autonomous driving

[RSS'23] The official Implementation of "ERASOR2: Instance-Aware Robust 3D Mapping of the Static World in Dynamic Scenes"

POWERBEV, a novel and elegant vision-based end-to-end framework that only consists of 2D convolutional layers to perform perception and forecasting of multiple objects in BEVs.

[ICCV2023] NeRF-LOAM: Neural Implicit Representation for Large-Scale Incremental LiDAR Odometry and Mapping

A summary and list of open source 3D multi object tracking and datasets at this stage.

[CVPR'23] TARL: Temporal Consistent 3D LiDAR Representation Learning for Semantic Perception in Autonomous Driving

[IROS23] Ellipsoidal Clustering for Open-World Instance Segmentation on LiDAR Data

(IROS2023) NeU-NBV: Next Best View Planning Using Uncertainty Estimation in Image-Based Neural Rendering