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Search results for lidar sensor fusion
lidar
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sensor-fusion
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28 search results found
Bevfusion
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1,565
[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
Lili Om
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433
LiLi-OM is a tightly-coupled, keyframe-based LiDAR-inertial odometry and mapping system for both solid-state-LiDAR and conventional LiDARs.
Sparse Depth Completion
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372
Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. (Ranked 1st place on KITTI)
Lio Mapping
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372
Implementation of Tightly Coupled 3D Lidar Inertial Odometry and Mapping (LIO-mapping)
Lio Ppf
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134
[IROS 2023] Fast LiDAR-Inertial Odometry via Incremental Plane Pre-Fitting and Skeleton Tracking
Fusion Ekf
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133
An extended Kalman Filter implementation in C++ for fusing lidar and radar sensor measurements.
Glio
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111
GLIO: Tightly-Coupled GNSS/LiDAR/IMU Integration for Continuous and Drift-free State Estimation
Graph_msf
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103
A graph-based multi-sensor fusion framework. It can be used to fuse various relative or absolute measurments with IMU readings in real-time.
Cmrnet
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82
Code for "CMRNet: Camera to LiDAR-Map Registration" (ITSC 2019) - WIP
Extrinsic_lidar_camera_calibration
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79
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 3D LiDAR semantic mapping and automation.
Acsc
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76
Automatic Calibration for Non-repetitive Scanning Solid-State LiDAR and Camera Systems
Fusiondepth
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57
Official implementation for paper "Advancing Self-supervised Monocular Depth Learning with Sparse LiDAR"
Udacity Sensor Fusion Nanodegree
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43
Course projects for the Sensor Fusion Nanodegree program on Udacity.
Sasensorfusionlocalization
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30
Sensor Fusion and Localization related projects of Udacity's Self-driving Car Nanodegree Program:
Lidarbot
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22
A differential drive robot is controlled using ROS2 Humble running on a Raspberry Pi 4 (running Ubuntu server 22.04). The vehicle is equipped with a raspberry pi camera for visual feedback and an RPlidar A1 sensor used for Simultaneous Localization and Mapping (SLAM), autonomous navigation and obstacle avoidance.
Carnd Extended Kalman Filter P6
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21
Self Driving Car Project 6 - Sensor Fusion(Extended Kalman Filter)
Sensor Fusion
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21
Filters: KF, EKF, UKF || Process Models: CV, CTRV || Measurement Models: Radar, Lidar
Adas Car Using Raspberry Pi
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21
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
Frustum Pointpillars
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17
Frustum-PointPillars: A Multi-Stage Approach for 3D Object Detection using RGB Camera and LiDAR
The Cooper Mapper
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17
An open source autonomous driving research platform for Active SLAM & Multisensor Data Fusion
Continuous Fusion
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17
(ROS) Sensor fusion algorithm for camera+lidar.
Object Tracking And State Prediction With Unscented And Extended Kalman Filters
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13
Radar and Lidar Sensor Fusion using Simple, Extended, and Unscented Kalman Filter for Object Tracking and State Prediction.
Slampaperlib
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12
collection of papers in slam...
Imu Gnss Lidar Sensor Fusion Using Extended Kalman Filter For State Estimation
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12
State Estimation and Localization of an autonomous vehicle based on IMU (high rate), GNSS (GPS) and Lidar data with sensor fusion techniques using the Extended Kalman Filter (EKF).
Unscented_kalmanfilter
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8
Unscented Kalman Filter (in C++) for Self-Driving Car (AV) Project. Using Sensor Fusion, combines noisy data from Radar and LIDAR sensors on a self-driving car to predict a smooth position for seen objects.
Slam Urbannav Dataset
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8
Sensor fusion, state estimation, localization and mapping using the UrbanNav dataset in ROS
Odyn
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8
A free Dynamic Network (DN) solver that runs online in the browser. ODyN fuses information from cameras, GNSS and inertial sensors in a single adjustment and it can be used to estimate a high-frequency trajectory for precise direct geo-referencing, to improve photogrammetric reconstructions in challenging scenarios or to determine several types of system calibration parameters.
Sensor Fusion
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6
Sensor Fusion Nanodegree (Udacity) Projects.
Odometry Fusion
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5
Simple ROS node for fusing lidar- and visual odometries with GTSAM
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1-28 of 28 search results
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