Toward Low-Flying Autonomous MAV Trail Navigation using Deep N_Networks for Environmental Awareness
Toward Low-Flying Autonomous MAV Trail Navigation using Deep Neural Networks for Environmental Awareness Nikolai Smolyanskiy, Alexey Kamenev, Jeffrey Smith, Stan Birchfield Abstract We present a micro
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相關文章
- 1. Decision-making Strategy on Highway for Autonomous Vehicles using Deep Reinforcement Learning
- 2. Multi-Camera Visual SLAM for Autonomous Navigation of Micro Aerial Vehicles
- 3. MAV path planning survey
- 4. [論文筆記]Real-Time* Multiple Object Tracking (MOT) for Autonomous Navigation
- 5. Deep Validation: Toward Detecting Real-world Corner Cases for Deep Neural Networks
- 6. Language Understanding for TextGames using Deep Reinforcement
- 7. Deep Matching Prior Network: Toward Tighter Multi-oriented Text Detection
- 8. Building a ROS simulation platform for Deep Reinforcement Learning research ...
- 9. Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning學習筆記
- 10. CRAFT（Character Region Awareness for Text Detection）