| 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 |
| detectRecog/PointTrack |
242 |
|
0 |
0 |
about 4 years ago |
0 |
|
14 |
other |
Python |
| PointTrack (ECCV2020 ORAL): Segment as Points for Efficient Online Multi-Object Tracking and Segmentation |
| NikolasEnt/Road-Semantic-Segmentation |
64 |
|
0 |
0 |
over 8 years ago |
0 |
|
1 |
|
Jupyter Notebook |
| Udacity Self-Driving Car Engineer Nanodegree. Project: Road Semantic Segmentation |
| huseinzol05/Self-Driving-Car-Engines |
58 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Gathers signal processing, computer vision, machine learning and deep learning for self-driving car engines. |
| 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. |
| chenmingxiang110/Car-Plate-Recognition |
27 |
|
0 |
0 |
almost 5 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Implemented a car plate recognition algorithm based on CTC loss |
| StevieG47/Matlab-ComputerVision |
21 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
|
Matlab |
| Car Tracking, Lane Detection, Traffic Sign Recognition, Homography, Color Segmentation, Visual Odometry |
| nitsourish/car-damage-detection-using-CNN |
19 |
|
0 |
0 |
almost 7 years ago |
0 |
|
3 |
other |
Jupyter Notebook |
| Automated car damage detection using Instance Segmentation(Mask R-CNN) |
| funningboy/carCV |
16 |
|
0 |
0 |
about 12 years ago |
0 |
|
2 |
|
Python |
| carCV |