Hybrid control for aggressive maneuvering of autonomous aerial vehicles

2002 ◽  
Author(s):  
M.W. McConley ◽  
M.D. Piedmonte ◽  
B.D. Appleby ◽  
E. Frazzoli ◽  
E. Feron ◽  
...  
Keyword(s):  
Hybrid Control ◽  
Aerial Vehicles ◽  
Autonomous Aerial Vehicles

Vehicle Health Inferencing Using Feature-Based Neural-Symbolic Networks

2013 ◽  
Author(s):  
Christopher M. Aasted ◽  
Sunwook Lim ◽  
Rahmat A. Shoureshi
Keyword(s):  
Historical Data ◽  
Fault Tolerant ◽  
Current System ◽  
Diagnostic Information ◽  
Aerial Vehicles ◽  
Feature Based ◽  
Incident Data ◽  
Autonomous Aerial Vehicles ◽  
Diagnostics System

In order to optimize the use of fault tolerant controllers for unmanned or autonomous aerial vehicles, a health diagnostics system is being developed. To autonomously determine the effect of damage on global vehicle health, a feature-based neural-symbolic network is utilized to infer vehicle health using historical data. Our current system is able to accurately characterize the extent of vehicle damage with 99.2% accuracy when tested on prior incident data. Based on the results of this work, neural-symbolic networks appear to be a useful tool for diagnosis of global vehicle health based on features of subsystem diagnostic information.

scholarly journals Robust detection of small and dense objects in images from autonomous aerial vehicles

2021 ◽  
Author(s):  
Joo Chan Lee ◽  
JeongYeop Yoo ◽  
Yongwoo Kim ◽  
SungTae Moon ◽  
Jong Hwan Ko
Keyword(s):  
Robust Detection ◽  
Aerial Vehicles ◽  
Autonomous Aerial Vehicles
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