The code implemented in ROS projects a point cloud obtained by a Velodyne VLP16 3D-Lidar sensor on an image from an RGB camera.
fully applied in ROS. simply fuse the category and location information
CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object Detection
Offical PyTorch implementation of "BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework"
camera object tracking，lidar object tracking, camera and lidar fusion object tracking
A Platform for LiDAR-Camera Fusion
Calibrate camera to lidar
This repository uses a ROS node to subscribe to camera (hikvision) and lidar (livox) data. After the node merges the data, it publishes the colored point cloud and displays it in rviz.
Realtime Camera-Radar-Lidar Fusion detection in ROS simulation.
Personal work on sensor fusion for self-driving cars. Including Lidar, Camera, Radar, and Fusion techniques.
[RAL & IROS 2022] Lidar With Velocity: Correcting Moving Objects Point Cloud Distortion From Oscillating Scanning Lidars by Fusion With Camera
Xtreme1 is an all-in-one data labeling and annotation platform for multimodal data training and supports 3D LiDAR point cloud, image, and LLM.
Udacity Sensor Fusion P1 on Lidar Obstacle Detection
ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"
Depth Enhanced Monocular Odometry (camera and lidar version)
Dynamic SLAM, Life-long SLAM Research(Lidar, Visual, Sensor Fusion etc.)
HSI and LiDAR image fusion based on Deep Learning
Project: Lidar Obstacle Detection || Udacity: Sensor Fusion Engineer Nanodegree
Code for RA-L journal and IROS 2022 paper "DeepFusionMOT: A 3D Multi-Object Tracking Framework Based on Camera-LiDAR Fusion with Deep Association".
Calibrate the extrinsic parameters between Livox LiDAR and camera
Remote depth camera with iPad Pro with LiDAR sensor
翻译 - 配备LiDAR传感器的iPad Pro远程深度相机
A Collection of LiDAR-Camera-Calibration Papers, Toolboxes and Notes
A toolbox for target-less LiDAR-camera calibration [ROS1/ROS2]
R2LIVE: A Robust, Real-time, LiDAR-Inertial-Visual tightly-coupled state Estimator and mapping package