deepdive
An open-source simulator for experimenting with and advancing self-driving AI, accessible to anyone with a PC.
What is deepdive?
Deepdrive is an open-source self-driving car simulator that enables developers and researchers to experiment with autonomous driving AI. It provides a realistic virtual environment where users can train, test, and benchmark machine learning models for vehicle control without needing physical hardware. The simulator includes tools for data recording, imitation learning, and reinforcement learning, along with a large pre-recorded dataset to accelerate development.
AI researchers, machine learning engineers, and developers working on autonomous vehicle algorithms who need a scalable, cost-effective simulation platform for training and testing.
Deepdrive stands out by offering a high-fidelity, open-source simulator that is accessible to anyone with a PC, lowering the barrier to self-driving AI research. It provides comprehensive observation data, pre-recorded datasets, and integration with popular ML frameworks like TensorFlow, enabling rapid experimentation and benchmarking.
Overview
Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving
Use Cases
Best For
- Training imitation learning models for autonomous driving
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