https://github.com/amitkumarj441/alphapilot-challenge

AlphaPilot - Lockheed Martin AI Drone Racing Innovation Challenge
https://github.com/amitkumarj441/alphapilot-challenge

cmake-modules csharp drone gazebo-simulator lstm reinforcement-learning rnn ros-kinetic

Last synced: 3 months ago
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AlphaPilot - Lockheed Martin AI Drone Racing Innovation Challenge

• Host: GitHub
• URL: https://github.com/amitkumarj441/alphapilot-challenge
• Owner: amitkumarj441
• License: apache-2.0
• Created: 2019-03-23T14:16:40.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2019-03-27T17:10:09.000Z (over 6 years ago)
• Last Synced: 2025-01-26T14:12:01.411Z (5 months ago)
• Topics: cmake-modules, csharp, drone, gazebo-simulator, lstm, reinforcement-learning, rnn, ros-kinetic
• Language: Python
• Size: 62.5 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# AlphaPilot - Lockheed Martin AI Drone Racing Innovation Challenge

Lockheed Martin and DRL are challenging teams to develop an AI-enabled framework, powered by the NVIDIA Jetson platform for AI at the edge, that can navigate a fully autonomous drone through complex, multi-dimensional racing courses – without any pre-programming or human intervention. 

Teams will develop AI that has an accurate representation of a drone operator’s goals and desires, so it can make inferences about current and future needs, limiting the need for explicit direction. 

This is a competition of AI quality – all other racing variables, including the drone hardware, are controlled.