AVOIDDS: aircraft vision-based intruder detection dataset and simulator
Designing robust machine learning systems remains an open problem, and there is a need
for benchmark problems that cover both environmental changes and evaluation on a …
for benchmark problems that cover both environmental changes and evaluation on a …
Integrated conflict management for uam with strategic demand capacity balancing and learning-based tactical deconfliction
Urban air mobility (UAM) has the potential to revolutionize our daily transportation, offering
rapid and efficient deliveries of passengers and cargo between dedicated locations within …
rapid and efficient deliveries of passengers and cargo between dedicated locations within …
Aam-gym: Artificial intelligence testbed for advanced air mobility
We introduce AAM-Gym, a research and development testbed for Advanced Air Mobility
(AAM). AAM has the potential to revolutionize travel by reducing ground traffic and …
(AAM). AAM has the potential to revolutionize travel by reducing ground traffic and …
[HTML][HTML] Aircraft Flight Autonomous Decision-Making Method Based on Target Predicted Trajectory and Markov Decision Process
Y Zhou, X Tang, X Ren - Actuators, 2024 - mdpi.com
In this paper, in order to enhance the autonomous operation capabilities of aircraft and
ensure their operational safety and efficiency, we propose an autonomous decision-making …
ensure their operational safety and efficiency, we propose an autonomous decision-making …
Towards a Standardized Reinforcement Learning Framework for AAM Contingency Management
Advanced Air Mobility (AAM) is the next generation of air transportation that includes new
entrants such as electric vertical takeoff and landing (eVTOL) aircraft, increasingly …
entrants such as electric vertical takeoff and landing (eVTOL) aircraft, increasingly …
Tradeoffs When Considering Deep Reinforcement Learning for Contingency Management in Advanced Air Mobility
LE Alvarez, MW Brittain, S Young - AIAA AVIATION FORUM AND …, 2024 - arc.aiaa.org
Air transportation is undergoing a rapid evolution globally with the introduction of Advanced
Air Mobility (AAM) and with it comes novel challenges and opportunities for transforming …
Air Mobility (AAM) and with it comes novel challenges and opportunities for transforming …
[LIBRO][B] Safe Machine Learning-Based Perception Via Closed-Loop Analysis
SM Katz - 2023 - search.proquest.com
Abstract Machine learning has the potential to unlock a variety of new capabilities for the
automation of safety-critical systems. For example, it can be used in the aviation domain to …
automation of safety-critical systems. For example, it can be used in the aviation domain to …
A Decision-making Method for UAV Conflict Detection and Avoidance System
X TANG, S LI, J GU, X GUAN - 电子与信息学报, 2024 - jeit.ac.cn
A novel approach is proposed to integrate the Detection and Avoidance Alerting Logic for
Unmanned Aircraft Systems (DAIDALUS) with the Markov Decision Process (MDP) to …
Unmanned Aircraft Systems (DAIDALUS) with the Markov Decision Process (MDP) to …
[PDF][PDF] 一种无人机冲突探测与避让系统决策方法
汤新民， **帅， 顾俊伟， 管祥民 - 电子与信息学报, 2024 - jeit.ac.cn
针对无人机探测与避让(DAA) 系统中无人机飞行碰撞避免的决策问题, 该文提出一种将无人机
系统检测和避免警报逻辑(DAIDALUS) 和马尔可夫决策过程(MDP) 相结合的方法. DAIDALIS …
系统检测和避免警报逻辑(DAIDALUS) 和马尔可夫决策过程(MDP) 相结合的方法. DAIDALIS …
ПОДХОДЫ К МОДЕРНИЗАЦИИ АЛГОРИТМОВ ПРЕДУПРЕЖДЕНИЯ СТОЛКНОВЕНИЙ ВОЗДУШНЫХ СУДОВ
ВВ Худошин - Региональная информатика и информационная …, 2022 - elibrary.ru
Приведено несколько подходов к модернизации алгоритмов работы системы
предупреждения столкновений воздушных судов. На примере сценария воздушной …
предупреждения столкновений воздушных судов. На примере сценария воздушной …