A survey of machine learning and deep learning in remote sensing of geological environment: Challenges, advances, and opportunities
Due to limited resources and environmental pollution, monitoring the geological
environment has become essential for many countries' sustainable development. As various …
environment has become essential for many countries' sustainable development. As various …
Computer vision and deep learning techniques for pedestrian detection and tracking: A survey
Pedestrian detection and tracking have become an important field in the computer vision
research area. This growing interest, started in the last decades, might be explained by the …
research area. This growing interest, started in the last decades, might be explained by the …
Factor graph optimization for GNSS/INS integration: A comparison with the extended Kalman filter
Factor graph optimization (FGO) recently has attracted attention as an alternative to the
extended Kalman filter (EKF) for GNSS-INS integration. This study evaluates both loosely …
extended Kalman filter (EKF) for GNSS-INS integration. This study evaluates both loosely …
Hybrid-augmented intelligence: collaboration and cognition
The long-term goal of artificial intelligence (AI) is to make machines learn and think like
human beings. Due to the high levels of uncertainty and vulnerability in human life and the …
human beings. Due to the high levels of uncertainty and vulnerability in human life and the …
Survey of advances in guidance, navigation, and control of unmanned rotorcraft systems
F Kendoul - Journal of Field Robotics, 2012 - Wiley Online Library
Recently, there has been growing interest in developing unmanned aircraft systems (UAS)
with advanced onboard autonomous capabilities. This paper describes the current state of …
with advanced onboard autonomous capabilities. This paper describes the current state of …
Autonomous helicopter aerobatics through apprenticeship learning
Autonomous helicopter flight is widely regarded to be a highly challenging control problem.
Despite this fact, human experts can reliably fly helicopters through a wide range of …
Despite this fact, human experts can reliably fly helicopters through a wide range of …
A survey of quadrotor unmanned aerial vehicles
S Gupte, PIT Mohandas… - 2012 Proceedings of IEEE …, 2012 - ieeexplore.ieee.org
In the past decade Unmanned Aerial Vehicles (UAVs) have become a topic of interest in
many research organizations. UAVs are finding applications in various areas ranging from …
many research organizations. UAVs are finding applications in various areas ranging from …
[图书][B] Autonomous flying robots: unmanned aerial vehicles and micro aerial vehicles
The advance in robotics has boosted the application of autonomous vehicles to perform
tedious and risky tasks or to be cost-effective substitutes for their-man counterparts. Based …
tedious and risky tasks or to be cost-effective substitutes for their-man counterparts. Based …
An application of reinforcement learning to aerobatic helicopter flight
Autonomous helicopter flight is widely regarded to be a highly challenging control problem.
This paper presents the first successful autonomous completion on a real RC helicopter of …
This paper presents the first successful autonomous completion on a real RC helicopter of …
Intelligent and vision-based fire detection systems: A survey
F Bu, MS Gharajeh - Image and vision computing, 2019 - Elsevier
Fire is one of the main disasters in the world. A fire detection system should detect fires in
various environments (eg, buildings, forests, and rural areas) in the shortest time in order to …
various environments (eg, buildings, forests, and rural areas) in the shortest time in order to …