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Align Anything: Training All-modality Model with Feedback
ROS drvier for RS-LiDAR-16 and RS-LiDAR-32
A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package
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).
Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.
lidar-imu-cam-GPS时间戳硬件同步方案
This is the official PyTorch implementation of the paper Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP.
A project demonstrating Lidar related AI solutions, including three GPU accelerated Lidar/camera DL networks (PointPillars, CenterPoint, BEVFusion) and the related libs (cuPCL, 3D SparseConvolution…
📚 Jupyter notebook tutorials for OpenVINO™
Fast-BEV: A Fast and Strong Bird’s-Eye View Perception Baseline
Truevision Designer is a 3D tool to design roads, intersections and environments for testing and validating autonomous vehicles and robots.
Automatic Calibration for Non-repetitive Scanning Solid-State LiDAR and Camera Systems
OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving
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
Offical PyTorch implementation of "BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework"
[IROS 2020] Targetless Calibration of LiDAR-IMU System Based on Continuous-time Batch Estimation
Using error-state Kalman filter to fuse the IMU and GPS data for localization.
IMU array calibration data and navigation test data
# 眼在手外相机标定 - Kinect2相机眼在手外标定 aubo机械臂 - CameraIntrinsicCalibration.cpp 内参标定 - CameraIntrinsicCalibration2.cpp 内参标定 - CameraIntrinsicFromFiles.cpp 内参标定写出数据 - HandToEyeCapture.cpp 数据采集保存图片及机械臂关节参数,方便H…
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.
[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.
[IEEE T-PAMI 2023] Awesome BEV perception research and cookbook for all level audience in autonomous diriving
Data visualization software for embedded devices and projects