Bio-inspired Autonomous Exploration Policies with CNN-based Object Detection on Nano-drones

Author:

Lamberti Lorenzo1,Bompani Luca1,Kartsch Victor Javier1,Rusci Manuele2,Palossi Daniele3,Benini Luca1

Affiliation:

1. Electronic and Information Engineering, University of Bologna,Department of Electrical,Italy

2. KU Leuven,Department of Electrical Engineering,Belgium

3. Dalle Molle Institute for Artificial Intelligence,USI-SUPSI,Switzerland

Publisher

IEEE

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Complete Coverage of Mobile Targets in Backscatter-Aided IoT Networks;IEEE Internet of Things Journal;2024-06-15

2. Stargate: Multimodal Sensor Fusion for Autonomous Navigation on Miniaturized UAVs;IEEE Internet of Things Journal;2024-06-15

3. A Deep Learning-based Pest Insect Monitoring System for Ultra-low Power Pocket-sized Drones;2024 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT);2024-04-29

4. A Sim-to-Real Deep Learning-Based Framework for Autonomous Nano-Drone Racing;IEEE Robotics and Automation Letters;2024-02

5. Multi-sensory Anti-collision Design for Autonomous Nano-swarm Exploration;2023 30th IEEE International Conference on Electronics, Circuits and Systems (ICECS);2023-12-04

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