| ika-rwth-aachen/Cam2BEV |
627 |
|
0 |
0 |
over 2 years ago |
0 |
|
1 |
mit |
Python |
| TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras. |
| Amin-Tgz/awesome-CARLA |
486 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
cc0-1.0 |
|
| 👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla |
| DeepTecher/awesome-autonomous-vehicle |
462 |
|
0 |
0 |
over 4 years ago |
0 |
|
1 |
apache-2.0 |
|
| 无人驾驶的资源列表中文版 |
| kkweon/UNet-in-Tensorflow |
157 |
|
0 |
0 |
over 8 years ago |
0 |
|
10 |
mit |
Jupyter Notebook |
| U-Net implementation in Tensorflow |
| lxc86739795/human_vehicle_parsing_platform |
83 |
|
0 |
0 |
over 4 years ago |
0 |
|
2 |
|
Python |
| A pytorch codebase for human parsing and vehicle parsing |
| ericlavigne/CarND-Detect-Lane-Lines-And-Vehicles |
56 |
|
0 |
0 |
almost 8 years ago |
0 |
|
3 |
|
Python |
| Use segmentation networks to recognize lane lines and vehicles. Infer position and curvature of lane lines relative to self. |
| anshulpaigwar/GndNet |
29 |
|
0 |
0 |
almost 5 years ago |
0 |
|
2 |
mit |
Python |
| GndNet: Fast ground plane estimation and point cloud segmentation for autonomous vehicles using deep neural networks. |
| LonglongaaaGo/CCML_Learning |
25 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
mit |
Python |
| This is the offical website for paper ''Category-consistent deep network learning for accurate vehicle logo recognition'' |
| osin-vladimir/kaggle-satellite-imagery-feature-detection |
24 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Satellite Imagery Feature Detection (68 out of 419) |
| sigmaai/semantic-segmentation |
16 |
|
0 |
0 |
about 7 years ago |
0 |
|
1 |
mit |
Python |
| Realtime Semantic Segmentation (ICNet) for Self-Driving Vehicles |
