[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
-
Updated
Jul 31, 2024 - Python
[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
An extension of Open3D to address 3D Machine Learning tasks
The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"
Photogrammetry Guide. Photogrammetry is widely used for Aerial surveying, Agriculture, Architecture, 3D Games, Robotics, Archaeology, Construction, Emergency management, and Medical.
Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving
🎓Automatically Update CV Papers Daily using Github Actions (Update Every 12th hours)
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking (CVPR 2023)
OverlapNet - Loop Closing for 3D LiDAR-based SLAM (chen2020rss)
ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"
[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
(LMNet) Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data (RAL/IROS 2021)
Light-weight camera LiDAR calibration package for ROS using OpenCV and PCL (PnP + LM optimization)
Full-python LiDAR SLAM using ICP and Scan Context
Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. (Ranked 1st place on KITTI) [MVA 2019]
Laspy is a pythonic interface for reading/modifying/creating .LAS LIDAR files matching specification 1.0-1.4.
Intensity-based_Lidar_Camera_Calibration
Python bindings for the Point Cloud Library (PCL)
Official page of ERASOR (Egocentric Ratio of pSeudo Occupancy-based Dynamic Object Removal), which is accepted @ RA-L'21 with ICRA'21
Poisson Surface Reconstruction for LiDAR Odometry and Mapping
Add a description, image, and links to the lidar topic page so that developers can more easily learn about it.
To associate your repository with the lidar topic, visit your repo's landing page and select "manage topics."