Lists (1)
Stars
A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!
Lift, Splat, Shoot: Encoding Images from Arbitrary Camera Rigs by Implicitly Unprojecting to 3D (ECCV 2020)
(CVPR 2019) Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving
Implementation of PointPillars Network with LiDAR-camera fusion for 3D Object Detection in Autonomous Driving.
Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)
A Collection of LiDAR-Camera-Calibration Papers, Toolboxes and Notes
Reading list for research topics in multimodal machine learning
[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
Offical PyTorch implementation of "BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework"
XuyangBai / TransFusion
Forked from open-mmlab/mmdetection3d[PyTorch] Official implementation of CVPR2022 paper "TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers". https://arxiv.org/abs/2203.11496
Unofficial implementation of PointFusion for 3D object bounding box prediction
This repository is an open-source PointPainting package which is easy to understand, deploy and run!
This 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 …