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NavREn-Rl: Learning to fly in real environment via end-to-end deep reinforcement learning using monocular images

https://doi.org/10.1109/m2vip.2018.8600838

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s11263-007-0071-yopenalex-snapshot

3-D Depth Reconstruction from a Single Still Image

inferredcites →https://doi.org/10.1038/nature14236openalex-snapshot

Human-level control through deep reinforcement learning

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Mastering the game of Go with deep neural networks and tree search

inferredcites →https://doi.org/10.1109/3dv.2016.32openalex-snapshot

Deeper Depth Prediction with Fully Convolutional Residual Networks

inferredcites →https://doi.org/10.1109/cvpr.2017.699openalex-snapshot

Unsupervised Monocular Depth Estimation with Left-Right Consistency

inferredcites →https://doi.org/10.1109/dasc.2004.1390837openalex-snapshot

Obstacle awareness and collision avoidance radar sensor system for low-altitude flying smart UAV

inferredcites →https://doi.org/10.1109/icra.2013.6630809openalex-snapshot

Learning monocular reactive UAV control in cluttered natural environments

inferredcites →https://doi.org/10.1109/icuas.2015.7152419openalex-snapshot

Monocular vision-based autonomous navigation system on a toy quadcopter in unknown environments

inferredcites →https://doi.org/10.1109/iros.2017.8206247openalex-snapshot

Learning to fly by crashing

inferredcites →https://doi.org/10.1109/lars.2010.26openalex-snapshot

Vision-Based Autonomous Navigation System Using ANN and FSM Control

inferredcites →https://doi.org/10.1109/lra.2015.2509024openalex-snapshot

A Machine Learning Approach to Visual Perception of Forest Trails for Mobile Robots

inferredcites →https://doi.org/10.1177/1729881417703571openalex-snapshot

Autonomous exploration of mobile robots through deep neural networks

inferredcites →https://doi.org/10.15607/rss.2017.xiii.064openalex-snapshot

Safe Visual Navigation via Deep Learning and Novelty Detection

inferredcites →https://doi.org/10.1609/aaai.v30i1.10295openalex-snapshot

Deep Reinforcement Learning with Double Q-Learning

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Autopilot Drone in Construction:A Proof of Concept for Handling Lightweight Instruments and Materials

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Autonomous Unmanned Aerial Vehicle navigation using Reinforcement Learning: A systematic review

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A FPGA Accelerator of Distributed A3C Algorithm with Optimal Resource Deployment

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Autonomous Navigation via Deep Reinforcement Learning for Resource Constraint Edge Nodes Using Transfer Learning

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Circuit and System Technologies for Energy-Efficient Edge Robotics: (Invited Paper)

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Analyzing and Improving Fault Tolerance of Learning-Based Navigation Systems

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UAV Navigation System with Obstacle Detection using Deep Reinforcement Learning with Noise Injection

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Hierarchical Memory System With STT-MRAM and SRAM to Support Transfer and Real-Time Reinforcement Learning in Autonomous Drones

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A 65-nm 8-to-3-b 1.0–0.36-V 9.1–1.1-TOPS/W Hybrid-Digital-Mixed-Signal Computing Platform for Accelerating Swarm Robotics

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Autonomous Single-Image Drone Exploration With Deep Reinforcement Learning and Mixed Reality

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Learning Multipursuit Evasion for Safe Targeted Navigation of Drones

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RFDG: Reinforcement Federated Domain Generalization

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KeepEdge: A Knowledge Distillation Empowered Edge Intelligence Framework for Visual Assisted Positioning in UAV Delivery

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Vision-Based Learning for Drones: A Survey

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Energy-Efficient Online Path Planning of Multiple Drones Using Reinforcement Learning

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Transfer and Online Reinforcement Learning in STT-MRAM Based Embedded Systems for Autonomous Drones

inferred← citeshttps://doi.org/10.2514/6.2021-0269openalex-snapshot

Obstacle Avoidance Using a Monocular Camera

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A Review on IoT Deep Learning UAV Systems for Autonomous Obstacle Detection and Collision Avoidance

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Learning to Have a Civil Aircraft Take Off under Crosswind Conditions by Reinforcement Learning with Multimodal Data and Preprocessing Data

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Machine Vision and Image Processing for Drones

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Multi-Task Federated Reinforcement Learning with Adversaries

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Analyzing and Improving Fault Tolerance of Learning-Based Navigation Systems

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