BatDeck: Advancing Nano-Drone Navigation with Low-Power Ultrasound-Based Obstacle Avoidance
Author:
Affiliation:
1. Center for Project-Based Learning – ETH Zürich,Integrated Systems Laboratory,Switzerland
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10636309/10636356/10636518.pdf?arnumber=10636518
Reference14 articles.
1. Classifications, applications, and design challenges of drones: A review;Hassanalian,2017
2. End-to-end nano-drone obstacle avoidance for indoor exploration;Zhang,2024
3. Tiny-PULP-Dronets: Squeezing Neural Networks for Faster and Lighter Inference on Multi-Tasking Autonomous Nano-Drones
4. Robust and Efficient Depth-Based Obstacle Avoidance for Autonomous Miniaturized UAVs
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