Cherry-Autonomous-Racecar
Implementation of the CNN from End to End Learning for Self-Driving Cars on a Nvidia Jetson TX1 using Tensorflow and ROS
Control a self-driving car using a neural network on a specific hardware platform.
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Free · no card · unsubscribe anytimeImplementation of the CNN from End to End Learning for Self-Driving Cars on a Nvidia Jetson TX1 using Tensorflow and ROS
Cherry-Autonomous-Racecar has 322 stars on GitHub. It has been forked 104 times. Cherry-Autonomous-Racecar is written mainly in Python. It has been in active development since 2016. Cherry-Autonomous-Racecar is available under the MIT license. Its main topics are autonomous-driving, convolutional-neural-networks, deep-learning, jetson-tx1.
What is Cherry-Autonomous-Racecar?
Implementation of the CNN from End to End Learning for Self-Driving Cars on a Nvidia Jetson TX1 using Tensorflow and ROS
Is Cherry-Autonomous-Racecar open source?
Cherry-Autonomous-Racecar is an open-source project. It is released under the MIT license.
Is Cherry-Autonomous-Racecar free?
Yes. Cherry-Autonomous-Racecar is free and open source — you can use, modify and self-host it.
What license does Cherry-Autonomous-Racecar use?
Cherry-Autonomous-Racecar is available under the MIT license.
What language is Cherry-Autonomous-Racecar written in?
Cherry-Autonomous-Racecar is written mainly in Python.
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