End-to-End Full-Stack Drone Measurements: A Case Study Using AERPAW
Author:
Affiliation:
1. University of Padova,Department of Information Engineering,Italy
2. North Carolina State University,Department of Electrical and Computer Engineering,Raleigh,NC,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10283478/10283479/10283735.pdf?arnumber=10283735
Reference24 articles.
1. AERPAW emulation overview and preliminary performance evaluation
2. Hybrid Point Cloud Semantic Compression for Automotive Sensors: A Performance Evaluation
3. Measurement-based characterization of LOS and NLOS drone-to-ground channels
4. The KITTI Vision Benchmark Suite;Karlsruhe Institute of Technology and Toyota Technological Institute at Chicago,0
5. Detection and Classification of UAVs Using RF Fingerprints in the Presence of Wi-Fi and Bluetooth Interference
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