Neuro-Planner: A 3D Visual Navigation Method for MAV With Depth Camera Based on Neuromorphic Reinforcement Learning
Published 2023 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Neuro-Planner: A 3D Visual Navigation Method for MAV With Depth Camera Based on Neuromorphic Reinforcement Learning
Authors
Keywords
-
Journal
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
Volume 72, Issue 10, Pages 12697-12712
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Online
2023-09-26
DOI
10.1109/tvt.2023.3278097
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- FE-Fusion-VPR: Attention-Based Multi-Scale Network Architecture for Visual Place Recognition by Fusing Frames and Events
- (2023) Kuanxu Hou et al. IEEE Robotics and Automation Letters
- Bio-inspired Collision Avoidance in Swarm Systems via Deep Reinforcement Learning
- (2022) Seongin Na et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- Double Critic Deep Reinforcement Learning for Mapless 3D Navigation of Unmanned Aerial Vehicles
- (2022) Ricardo Bedin Grando et al. JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS
- Curriculum Learning: A Survey
- (2022) Petru Soviany et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Swarm of micro flying robots in the wild
- (2022) Xin Zhou et al. Science Robotics
- Efficient Federated Learning With Spike Neural Networks for Traffic Sign Recognition
- (2022) Kan Xie et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- Explainable Deep Reinforcement Learning for UAV autonomous path planning
- (2021) Lei He et al. AEROSPACE SCIENCE AND TECHNOLOGY
- Reward is enough
- (2021) David Silver et al. ARTIFICIAL INTELLIGENCE
- A neurobiologically inspired mapping and navigating framework for mobile robots
- (2021) Qiang Zou et al. NEUROCOMPUTING
- Learning high-speed flight in the wild
- (2021) Antonio Loquercio et al. Science Robotics
- Stabilization Approaches for Reinforcement Learning-Based End-To-End Autonomous Driving
- (2020) Siyuan Chen et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- An open‐source system for vision‐based micro‐aerial vehicle mapping, planning, and flight in cluttered environments
- (2020) Helen Oleynikova et al. Journal of Field Robotics
- Deep-Reinforcement-Learning-Based Autonomous UAV Navigation With Sparse Rewards
- (2020) Chao Wang et al. IEEE Internet of Things Journal
- Robotic Episodic Cognitive Learning Inspired by Hippocampal Spatial Cells
- (2020) Qiang Zou et al. IEEE Robotics and Automation Letters
- Towards Target-Driven Visual Navigation in Indoor Scenes via Generative Imitation Learning
- (2020) Qiaoyun Wu et al. IEEE Robotics and Automation Letters
- EGO-Planner: An ESDF-Free Gradient-Based Local Planner for Quadrotors
- (2020) Xin Zhou et al. IEEE Robotics and Automation Letters
- Event-Based Vision: A Survey
- (2020) Guillermo Gallego et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Autonomous Navigation of UAVs in Large-Scale Complex Environments: A Deep Reinforcement Learning Approach
- (2019) Chao Wang et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- Towards spike-based machine intelligence with neuromorphic computing
- (2019) Kaushik Roy et al. NATURE
- Spatio-Temporal Backpropagation for Training High-Performance Spiking Neural Networks
- (2018) Yujie Wu et al. Frontiers in Neuroscience
- Flying on point clouds: Online trajectory generation and autonomous navigation for quadrotors in cluttered environments
- (2018) Fei Gao et al. Journal of Field Robotics
- Fast, autonomous flight in GPS-denied and cluttered environments
- (2017) Kartik Mohta et al. Journal of Field Robotics
- Autonomous aerial navigation using monocular visual-inertial fusion
- (2017) Yi Lin et al. Journal of Field Robotics
- Cognitive Mapping Based on Conjunctive Representations of Space and Movement
- (2017) Taiping Zeng et al. Frontiers in Neurorobotics
- Robust Autonomous Flight in Constrained and Visually Degraded Shipboard Environments
- (2016) Zheng Fang et al. Journal of Field Robotics
- Human-level control through deep reinforcement learning
- (2015) Volodymyr Mnih et al. NATURE
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now