| lgsvl/simulator |
2,029 |
|
0 |
0 |
about 3 years ago |
0 |
|
625 |
other |
C# |
| A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles |
| lexfridman/deeptraffic |
1,684 |
|
0 |
0 |
over 2 years ago |
0 |
|
6 |
mit |
JavaScript |
| DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series. |
| openvinotoolkit/training_extensions |
1,111 |
|
0 |
1 |
about 2 years ago |
55 |
October 31, 2023 |
54 |
apache-2.0 |
Python |
| Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™ |
| tatsuyah/vehicle-detection |
1,068 |
|
0 |
0 |
over 8 years ago |
0 |
|
1 |
|
Jupyter Notebook |
| Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree. |
| ahmetozlu/vehicle_counting_tensorflow |
643 |
|
0 |
0 |
over 4 years ago |
0 |
|
27 |
mit |
Python |
| :oncoming_automobile: "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API. |
| 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. |
| DoubangoTelecom/ultimateALPR-SDK |
550 |
|
0 |
0 |
over 2 years ago |
0 |
|
19 |
other |
C++ |
| World's fastest ANPR / ALPR implementation for CPUs, GPUs, VPUs and NPUs using deep learning (Tensorflow, Tensorflow lite, TensorRT, OpenVX, OpenVINO). Multi-Charset (Latin, Korean, Chinese) & Multi-OS (Jetson, Android, Raspberry Pi, Linux, Windows) & Multi-Arch (ARM, x86). |
| kaylode/vehicle-counting |
65 |
|
0 |
0 |
about 3 years ago |
0 |
|
4 |
mit |
Python |
| Vehicle counting using Pytorch |
| navoshta/detecting-road-features |
63 |
|
0 |
0 |
about 9 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Detecting Road Features: identifying lane and vehicles boundaries in a video. |
| jasur-2902/CarRecognition |
59 |
|
0 |
0 |
almost 3 years ago |
0 |
|
2 |
mit |
Java |
| This is one of the best vehicle recognition applications. It can determine the car's license plate number, color, model, brand and year. |
