Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)
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Updated
Sep 17, 2023 - Python
Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)
The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"
Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation
KITTI Object Visualization (Birdview, Volumetric LiDar point cloud )
A list of references on lidar point cloud processing for autonomous driving
Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)
This repository provides implementation of an incremental k-d tree for robotic applications.
C++ library and programs for reading and writing ASPRS LAS format with LiDAR data
Intensity-based_Lidar_Camera_Calibration
Lidar Obstacle Detection
Official page of ERASOR (Egocentric Ratio of pSeudo Occupancy-based Dynamic Object Removal), which is accepted @ RA-L'21 with ICRA'21
A Modular Optimization framework for Localization and mApping (MOLA)
Implementation of SqueezeSegV2, Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud
This repository contains all the work that I regularly did and studied from Medium blogs, several research papers, and other Repos (related/unrelated to the research papers).
2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds (ECCV 2022) 🔥
C++/Python Sparse Volumetric TSDF Fusion
A probabilistic voxelmap-based LiDAR-Inertial Odometry.
A list of papers about point cloud based place recognition, also known as loop closure detection in SLAM (processing)
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