| mit-han-lab/bevfusion |
1,565 |
|
0 |
0 |
over 2 years ago |
0 |
|
84 |
apache-2.0 |
Python |
| [ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation |
| ankitdhall/lidar_camera_calibration |
1,187 |
|
0 |
0 |
about 3 years ago |
0 |
|
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" |
| mikeroyal/Photogrammetry-Guide |
923 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
|
Python |
| Photogrammetry Guide. Photogrammetry is widely used for Aerial surveying, Agriculture, Architecture, 3D Games, Robotics, Archaeology, Construction, Emergency management, and Medical. |
| dji-sdk/Onboard-SDK |
868 |
|
0 |
0 |
over 2 years ago |
0 |
|
65 |
other |
C++ |
| DJI Onboard SDK Official Repository |
| naver/kapture |
416 |
|
0 |
1 |
about 2 years 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. |
| beltransen/velo2cam_calibration |
412 |
|
0 |
0 |
about 4 years ago |
0 |
|
1 |
gpl-2.0 |
C++ |
| Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups. ROS Package. |
| ISEE-Technology/CamVox |
321 |
|
0 |
0 |
over 4 years ago |
0 |
|
9 |
gpl-2.0 |
C++ |
| [ICRA2021] A low-cost SLAM system based on camera and Livox lidar. |
| TRI-ML/DDAD |
315 |
|
0 |
0 |
almost 5 years ago |
0 |
|
4 |
other |
Python |
| Dense Depth for Autonomous Driving (DDAD) dataset. |
| koide3/direct_visual_lidar_calibration |
314 |
|
0 |
0 |
over 2 years ago |
0 |
|
2 |
|
C++ |
| A toolbox for target-less LiDAR-camera calibration [ROS1/ROS2] |
| robotemi/sdk |
194 |
|
0 |
0 |
about 2 years 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 developers@robotemi.com |
