Topic: lidar-camera-fusion Goto Github
Some thing interesting about lidar-camera-fusion
Some thing interesting about lidar-camera-fusion
lidar-camera-fusion,ADAS Car - with Collision Avoidance System (CAS) - on Indian Roads using LIDAR-Camera Low-Level Sensor Fusion. DIY Gadget built with Raspberry Pi, RP LIDAR A1, Pi Cam V2, LED SHIM, NCS 2 and accessories like speaker, power bank etc
User: adroitanandai
Home Page: https://towardsdatascience.com/adas-collision-avoidance-system-on-indian-cars-bac64cc8a863
lidar-camera-fusion,This a simple implementation of V-LOAM
Organization: all-inone
Home Page: https://github.com/all-inone/V-LOAM
lidar-camera-fusion,ROS2 package for the visualization of the fusion of the L3Cam device sensors
Organization: beamaginelidar
Home Page: https://beamagine.com/
lidar-camera-fusion,ROS2 package that integrates L3CAM sensors using L3CAM SDK
Organization: beamaginelidar
Home Page: https://beamagine.com/
lidar-camera-fusion,L3Cam Viewer
Organization: beamaginelidar
Home Page: https://beamagine.com/
lidar-camera-fusion,SDK for the L3Cam
Organization: beamaginelidar
Home Page: https://beamagine.com/
lidar-camera-fusion,A Collection of LiDAR-Camera-Calibration Papers, Toolboxes and Notes
User: deephome
lidar-camera-fusion,The code implemented in ROS projects a point cloud obtained by a Velodyne VLP16 3D-Lidar sensor on an image from an RGB camera.
User: epvelasco
lidar-camera-fusion,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.
User: gcaptainnemo
lidar-camera-fusion,Lidar Camera Manual Target-less Calibration Software
User: gcaptainnemo
lidar-camera-fusion,Project: Generating overhead birds-eye-view occupancy grid map with semantic information from lidar and camera data.
User: harrylal
lidar-camera-fusion,ROS package to calibrate the extrinsic parameters between LiDAR and Camera.
Organization: hitsz-nrsl
lidar-camera-fusion,A Fast and Tightly-coupled Sparse-Direct LiDAR-Inertial-Visual Odometry (LIVO).
Organization: hku-mars
lidar-camera-fusion,A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package
Organization: hku-mars
lidar-camera-fusion,MultiCorrupt: A benchmark for robust multi-modal 3D object detection, evaluating LiDAR-Camera fusion models in autonomous driving. Includes diverse corruption types (e.g., misalignment, miscalibration, weather) and severity levels. Assess model performance under challenging conditions.
Organization: ika-rwth-aachen
lidar-camera-fusion,[T-RO 2022] Official Implementation for "LiCaS3: A Simple LiDAR–Camera Self-Supervised Synchronization Method," in IEEE Transactions on Robotics, doi: 10.1109/TRO.2022.3167455.
User: kleinyuan
lidar-camera-fusion,A research-purposed, GUI-powered, Python-based framework that allows easy development of dynamic point-cloud (and accompanying image) data processing pipelines.
User: m-shahbaz-kharal
Home Page: https://m-shahbaz-kharal.github.io/LiGuard-JOSS
lidar-camera-fusion,[CVPR2023] LoGoNet: Towards Accurate 3D Object Detection with Local-to-Global Cross-Modal Fusion
Organization: pjlab-adg
lidar-camera-fusion,[CVPR 2023] MSMDFusion: Fusing LiDAR and Camera at Multiple Scales with Multi-Depth Seeds for 3D Object Detection
User: sxjyjay
lidar-camera-fusion,This package introduces the concept of optimizing target shape to remove pose ambiguity for LiDAR point clouds. Both the simulation and the experimental results confirm that by using the optimal shape and the global solver, we achieve centimeter error in translation and a few degrees in rotation even when a partially illuminated target is placed 30 meters away!
Organization: umich-bipedlab
Home Page: https://arxiv.org/abs/2109.01181
lidar-camera-fusion,This package introduces the concept of optimizing target shape to remove pose ambiguity for LiDAR point clouds. Both the simulation and the experimental results confirm that by using the optimal shape and the global solver, we achieve centimeter error in translation and a few degrees in rotation even when a partially illuminated target is placed 30 meters away!
Organization: umich-bipedlab
Home Page: https://arxiv.org/abs/2109.01181
lidar-camera-fusion,auto-calibration of lidar and camera based on maximization of intensity mutual information
User: xmba15
lidar-camera-fusion,Extrinsic Calibration of Monocular Camera and Lidar using Planar Point To Plane Constraint
User: xmba15
lidar-camera-fusion,simple visualization toolbox for 3d vision sensors/tasks
User: xmba15
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