Sensor_fusion
By integrating the data of LiDAR and camera, create teacher data sets for monocular camera.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Bevfusion | 1,565 | 6 months ago | 84 | apache-2.0 | Python | |||||
| [ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation | ||||||||||
| Lidar_camera_calibration | 1,187 | a year ago | 53 | gpl-3.0 | C++ | |||||
| ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences" | ||||||||||
| Photogrammetry Guide | 923 | 3 months ago | Python | |||||||
| Photogrammetry Guide. Photogrammetry is widely used for Aerial surveying, Agriculture, Architecture, 3D Games, Robotics, Archaeology, Construction, Emergency management, and Medical. | ||||||||||
| Onboard Sdk | 868 | 6 months ago | 65 | other | C++ | |||||
| DJI Onboard SDK Official Repository | ||||||||||
| Kapture | 416 |  | 1 | 3 months ago | 26 | February 15, 2022 | 1 | bsd-3-clause | Python | |
| kapture is a file format as well as a set of tools for manipulating datasets, and in particular Visual Localization and Structure from Motion data. | ||||||||||
| Velo2cam_calibration | 412 | 2 years ago | 1 | gpl-2.0 | C++ | |||||
| Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups. ROS Package. | ||||||||||
| Camvox | 321 | 2 years ago | 9 | gpl-2.0 | C++ | |||||
| [ICRA2021] A low-cost SLAM system based on camera and Livox lidar. | ||||||||||
| Ddad | 315 | 3 years ago | 4 | other | Python | |||||
| Dense Depth for Autonomous Driving (DDAD) dataset. | ||||||||||
| Direct_visual_lidar_calibration | 314 | 9 months ago | 2 | C++ | ||||||
| A toolbox for target-less LiDAR-camera calibration [ROS1/ROS2] | ||||||||||
| Sdk | 194 | 3 months ago | 43 | November 23, 2023 | 117 | Kotlin | ||||
| temi is an unparalleled robotic platform introducing a new dimension of development - movement. Using temi’s SDK, developers can create new functionalities and introduce new use cases via temi’s Android tablet. temi’s movement and navigation capabilities run off of it's Linux computer and uses a set of 16 sensors including a Lidar, depth cameras, driving cameras, and microphones. We encourage our developer community to suggest and request expanded functionality within the SDK and we will adhere to your needs. We want to enable you to create skills like never seen before! We will be constantly improving the SDK and its documentation. Please feel free to reach out to us with any questions or thoughts at [email protected] | ||||||||||
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