MarvinTeichmann/MultiNet
Real-time Joint Semantic Reasoning for Autonomous Driving
This project helps self-driving car engineers and researchers analyze real-world driving scenes in real-time. It takes raw camera images from a car and identifies crucial elements like roads, other vehicles, and the type of street. This allows autonomous systems to understand their surroundings faster and more accurately.
556 stars. No commits in the last 6 months.
Use this if you are developing or researching autonomous driving systems and need to quickly and accurately identify roads, detect cars, and classify street types from image data.
Not ideal if your application is outside of autonomous driving, or if you require fine-grained object recognition beyond cars and road features.
Stars
556
Forks
244
Language
Python
License
MIT
Category
Last pushed
May 17, 2019
Commits (30d)
0
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