3d cnn tensorflowKITTI data processing and 3D CNN for Vehicle Detection
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awesome-lidar😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.
Stars: ✭ 217 (+108.65%)
FLAT[ICCV2021 Oral] Fooling LiDAR by Attacking GPS Trajectory
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Displaz.jlJulia bindings for the displaz lidar viewer
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Python-for-Remote-Sensingpython codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.
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point-cloud-predictionSelf-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks
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Vision3dResearch platform for 3D object detection in PyTorch.
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Interactive slamInteractive Map Correction for 3D Graph SLAM
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Awesome Robotic ToolingTooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.
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3D Ground SegmentationA ground segmentation algorithm for 3D point clouds based on the work described in “Fast segmentation of 3D point clouds: a paradigm on LIDAR data for Autonomous Vehicle Applications”, D. Zermas, I. Izzat and N. Papanikolopoulos, 2017. Distinguish between road and non-road points. Road surface extraction. Plane fit ground filter
Stars: ✭ 55 (-47.12%)
urban road filterReal-time LIDAR-based Urban Road and Sidewalk detection for Autonomous Vehicles 🚗
Stars: ✭ 134 (+28.85%)
Extrinsic lidar camera calibrationThis is a package for extrinsic calibration between a 3D LiDAR and a camera, described in paper: Improvements to Target-Based 3D LiDAR to Camera Calibration. This package is used for Cassie Blue's 3D LiDAR semantic mapping and automation.
Stars: ✭ 149 (+43.27%)
Lidar camera calibrationROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"
Stars: ✭ 734 (+605.77%)
Depth clustering🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.
Stars: ✭ 657 (+531.73%)
Lidar camera calibrationLight-weight camera LiDAR calibration package for ROS using OpenCV and PCL (PnP + LM optimization)
Stars: ✭ 133 (+27.88%)
PclpyPython bindings for the Point Cloud Library (PCL)
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BtcDetBehind the Curtain: Learning Occluded Shapes for 3D Object Detection
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LidrR package for airborne LiDAR data manipulation and visualisation for forestry application
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Superpoint graphLarge-scale Point Cloud Semantic Segmentation with Superpoint Graphs
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LiblasC++ library and programs for reading and writing ASPRS LAS format with LiDAR data
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DisplazA hackable lidar viewer
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Point2MeshMeshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio Guidance (ECCV2020)
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MCIS wsssCode for ECCV 2020 paper (oral): Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation
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softpoolSoftPoolNet: Shape Descriptor for Point Cloud Completion and Classification - ECCV 2020 oral
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OpenpcdetOpenPCDet Toolbox for LiDAR-based 3D Object Detection.
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Spvnas[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
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geometric advGeometric Adversarial Attacks and Defenses on 3D Point Clouds (3DV 2021)
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lt-mapperA Modular Framework for LiDAR-based Lifelong Mapping
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PointCutMixour code for paper 'PointCutMix: Regularization Strategy for Point Cloud Classification'
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fastremapRemap, mask, renumber, unique, and in-place transposition of 3D labeled images. Point cloud too.
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roofn3dRoof Classification, Segmentation, and Damage Completion using 3D Point Clouds
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WSL4MISScribbles or Points-based weakly-supervised learning for medical image segmentation, a strong baseline, and tutorial for research and application.
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e3dEfficient 3D Deep Learning
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esp32-cjmcu-531-demoCJMCU-531 and ESP32 Web Demo interfacing to a VL53L1X IR time-of-flight sensor
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ZeroSimROSUnityRobotic simulation in Unity with ROS integration.
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SAN[ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images
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realsense explorer botAutonomous ground exploration mobile robot which has 3-DOF manipulator with Intel Realsense D435i mounted on a Tracked skid-steer drive mobile robot. The robot is capable of mapping spaces, exploration through RRT, SLAM and 3D pose estimation of objects around it. This is an custom robot with self built URDF model.The Robot uses ROS's navigation…
Stars: ✭ 61 (-41.35%)
superpose3dregister 3D point clouds using rotation, translation, and scale transformations.
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SRResCycGANCode repo for "Deep Cyclic Generative Adversarial Residual Convolutional Networks for Real Image Super-Resolution" (ECCVW AIM2020).
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NeuralPullImplementation of ICML'2021:Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces
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attMPTI[CVPR 2021] Few-shot 3D Point Cloud Semantic Segmentation
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lodToolkitlevel-of-details toolkit(LTK). Convert osgb lod tree to 3mx tree. Convert pointcloud in ply/las/laz/xyz to 3mx/osgb tree.
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simpleICPImplementations of a rather simple version of the Iterative Closest Point algorithm in various languages.
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SpareNetStyle-based Point Generator with Adversarial Rendering for Point Cloud Completion (CVPR 2021)
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pcl.pyTemplated python inferface for Point Cloud Library (PCL) based on Cython
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annotateCreate 3D labelled bounding boxes in RViz
Stars: ✭ 104 (+0%)
PointCloudSegmentationThe research project based on Semantic KITTTI dataset, 3d Point Cloud Segmentation , Obstacle Detection
Stars: ✭ 62 (-40.38%)
DeepPS[ECCV 2020] "Deep Plastic Surgery: Robust and Controllable Image Editing with Human-Drawn Sketches"
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IAST-ECCV2020IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm
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faster rcnnAn implementation of Faster R-CNN applied to vehicle detection.
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