| Vincentqyw/cv-arxiv-daily |
631 |
|
0 |
0 |
about 2 years ago |
0 |
|
1 |
apache-2.0 |
Python |
| 🎓Automatically Update CV Papers Daily using Github Actions (Update Every 12th hours) |
| sxfduter/monocular-depth-estimation |
199 |
|
0 |
0 |
about 4 years ago |
0 |
|
0 |
|
|
| jhultman/vision3d |
197 |
|
0 |
0 |
over 2 years ago |
0 |
|
1 |
mit |
Python |
| Research platform for 3D object detection in PyTorch. |
| RozDavid/LOL |
188 |
|
0 |
0 |
over 5 years ago |
0 |
|
2 |
|
C++ |
| LOL: Lidar-only Odometry and Localization in 3D point cloud maps |
| Yvanali/Deep-Learning-for-LiDAR-Point-Clouds |
134 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
|
|
| Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review |
| xinshuoweng/Mono3DPLiDAR |
121 |
|
0 |
0 |
almost 6 years ago |
0 |
|
2 |
|
|
| Official PyTorch Implementation for "Monocular 3D Object Detection with Pseudo-LiDAR Point Cloud", ICCVW 2019 |
| UMich-BipedLab/extrinsic_lidar_camera_calibration |
79 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
agpl-3.0 |
MATLAB |
| 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. |
| mileyan/pseudo-LiDAR_e2e |
61 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
mit |
Python |
| pseudo-LiDAR_e2e |
| CAOR-MINES-ParisTech/lwoi |
52 |
|
0 |
0 |
over 7 years ago |
0 |
|
1 |
mit |
Python |
| Python code of the paper "Learning Wheel Odometry and IMU Errors for Localization" |
| ShreyasSkandanS/DFuseNet |
47 |
|
0 |
0 |
over 6 years ago |
0 |
|
1 |
gpl-3.0 |
Python |
| ITSC 2019 | This is the accompanying code repository for our paper "DFuseNet: Deep Fusion of RGB and Sparse Depth Information for Image Guided Dense Depth Completion" | PyTorch, Python 3 |
