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pdv

Point Density-Aware Voxels for LiDAR 3D Object Detection (CVPR 2022)

pillar-od

pillarnext

pointcept

Pointcept: a codebase for point cloud perception research. Latest works: MSC (CVPR'23), CeCo (CVPR'23), PTv2 (NeurIPS'22)

pointcloud-3d-detector-tensorrt

The first tensorrt implementation for point-based 3d detector, i.e., 3DSSD,SASA,IA-SSD.

pointcloud-viewer

A light and easy to change point cloud / lidar visualization tool, and supports multiple formats of data types.

pointpillars-camera-lidar-fusion

Implementation of PointPillars Network with LiDAR-camera fusion for 3D Object Detection in Autonomous Driving.

pointpillars_multihead_40fps

A REAL-TIME 3D detection network [Pointpillars] compiled by CUDA/TensorRT/C++.

pointrcnn

The PyTorch Implementation of PointRCNN for 3D Object Detection from Raw Point Cloud, CVPR 2019.

pointrcnn-1

PointRCNN+Frustum Pointnet

polarformer

[AAAI 2023] PolarFormer: Multi-camera 3D Object Detection with Polar Transformers

powerbev

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.

pv-rcnn

Point-Voxel Feature Set Abstraction for 3D Object Detection

pvcnn

[NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning.

pythonrobotics

Python sample codes for robotics algorithms.

pytorch_simple_centernet_45

A simple pytorch implementation of CenterNet (Objects as Points)

qcnet

[CVPR 2023] Query-Centric Trajectory Prediction

randla-net

RandLA-Net in Tensorflow

recent_slam_research

Track Advancement of SLAM 跟踪SLAM前沿动态【ICRA2019已更】

relation-shape-cnn

Relation-Shape Convolutional Neural Network for Point Cloud Analysis (CVPR 2019 Oral & Best paper finalist)

robobev

RoboBEV: Robust Bird's Eye View Detection under Corruptions and Domain Shift

rvcdet

Pytorch implementation for the paper: "RVCDet: Rethinking Voxelization and Classification for 3D Object Detection" [ICONIP-2022]

salsanext

sc-sfmlearner-release

Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video (NeurIPS 2019)

second.pytorch

PointPillars for KITTI object detection

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

semantic_suma

Semantic Mapping using Surfel Mapping and Semantic Segmentation (Chen et al IROS 2019)

semanticstf

(CVPR 2023) The official project of "3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds"

sensorscalibration

simpleoccupancy