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Deep Reinforcement Learning for Autonomous Dynamic Skid Steer Vehicle Trajectory Tracking
Deep Reinforcement Learning for Autonomous Dynamic Skid Steer Vehicle Trajectory Tracking
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Deep Reinforcement Learning for Autonomous Dynamic Skid Steer Vehicle Trajectory Tracking

Srikonda, Sandeep ; Norris, William Robert ; Nottage, Dustin ; Soylemezoglu, Ahmet

Robotics (Basel), 2022-10, Vol.11 (5), p.95 [Periódico revisado por pares]

Basel: MDPI AG

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Karst vegetation coverage detection using UAV multispectral vegetation indices and machine learning algorithm
Karst vegetation coverage detection using UAV multispectral vegetation indices and machine learning algorithm
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Karst vegetation coverage detection using UAV multispectral vegetation indices and machine learning algorithm

Pan, Wen ; Wang, Xiaoyu ; Sun, Yan ; Wang, Jia ; Li, Yanjie ; Li, Sheng

Plant methods, 2023-01, Vol.19 (1), p.7-7, Article 7 [Periódico revisado por pares]

England: BioMed Central Ltd

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3
LVD-NMPC: A learning-based vision dynamics approach to nonlinear model predictive control for autonomous vehicles
LVD-NMPC: A learning-based vision dynamics approach to nonlinear model predictive control for autonomous vehicles
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LVD-NMPC: A learning-based vision dynamics approach to nonlinear model predictive control for autonomous vehicles

Grigorescu, Sorin ; Ginerica, Cosmin ; Zaha, Mihai ; Macesanu, Gigel ; Trasnea, Bogdan

International journal of advanced robotic systems, 2021-05, Vol.18 (3), p.172988142110195 [Periódico revisado por pares]

London, England: SAGE Publications

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4
Above-Ground Biomass Prediction for Croplands at a Sub-Meter Resolution Using UAV–LiDAR and Machine Learning Methods
Above-Ground Biomass Prediction for Croplands at a Sub-Meter Resolution Using UAV–LiDAR and Machine Learning Methods
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Above-Ground Biomass Prediction for Croplands at a Sub-Meter Resolution Using UAV–LiDAR and Machine Learning Methods

Revenga, Jaime C. ; Trepekli, Katerina ; Oehmcke, Stefan ; Jensen, Rasmus ; Li, Lei ; Igel, Christian ; Gieseke, Fabian Cristian ; Friborg, Thomas

Remote sensing (Basel, Switzerland), 2022-08, Vol.14 (16), p.3912 [Periódico revisado por pares]

Basel: MDPI AG

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5
Collision Avoidance on Unmanned Aerial Vehicles Using Neural Network Pipelines and Flow Clustering Techniques
Collision Avoidance on Unmanned Aerial Vehicles Using Neural Network Pipelines and Flow Clustering Techniques
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Collision Avoidance on Unmanned Aerial Vehicles Using Neural Network Pipelines and Flow Clustering Techniques

Pedro, Dário ; Matos-Carvalho, João P. ; Fonseca, José M. ; Mora, André

Remote sensing (Basel, Switzerland), 2021-07, Vol.13 (13), p.2643 [Periódico revisado por pares]

Basel: MDPI AG

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6
Reentry Flight Capability Assessment Based on Dynamics–Informed Neural Network and Piecewise Guidance
Reentry Flight Capability Assessment Based on Dynamics–Informed Neural Network and Piecewise Guidance
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Reentry Flight Capability Assessment Based on Dynamics–Informed Neural Network and Piecewise Guidance

Liu, Kai ; Zhang, Jili ; Guo, Xinlu

Aerospace, 2022-12, Vol.9 (12), p.790 [Periódico revisado por pares]

Basel: MDPI AG

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7
Sim-to-Real: Mapless Navigation for USVs Using Deep Reinforcement Learning
Sim-to-Real: Mapless Navigation for USVs Using Deep Reinforcement Learning
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Sim-to-Real: Mapless Navigation for USVs Using Deep Reinforcement Learning

Wang, Ning ; Wang, Yabiao ; Zhao, Yuming ; Wang, Yong ; Li, Zhigang

Journal of marine science and engineering, 2022-07, Vol.10 (7), p.895 [Periódico revisado por pares]

Basel: MDPI AG

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8
Employing a multi-sensor fusion array to detect objects for an orbital transfer vehicle to remove space debris
Employing a multi-sensor fusion array to detect objects for an orbital transfer vehicle to remove space debris
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Employing a multi-sensor fusion array to detect objects for an orbital transfer vehicle to remove space debris

Jani, Kaushal

International journal of intelligent unmanned systems, 2024-04, Vol.12 (2), p.179-191 [Periódico revisado por pares]

Bingley: Emerald Publishing Limited

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9
An End to End Process Development for UAV-SfM Based Forest Monitoring: Individual Tree Detection, Species Classification and Carbon Dynamics Simulation
An End to End Process Development for UAV-SfM Based Forest Monitoring: Individual Tree Detection, Species Classification and Carbon Dynamics Simulation
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An End to End Process Development for UAV-SfM Based Forest Monitoring: Individual Tree Detection, Species Classification and Carbon Dynamics Simulation

Fujimoto, Ayana ; Haga, Chihiro ; Matsui, Takanori ; Machimura, Takashi ; Hayashi, Kiichiro ; Sugita, Satoru ; Takagi, Hiroaki

Forests, 2019-08, Vol.10 (8), p.680 [Periódico revisado por pares]

Basel: MDPI AG

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10
Predicting time series of railway speed restrictions with time-dependent machine learning techniques
Predicting time series of railway speed restrictions with time-dependent machine learning techniques
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Predicting time series of railway speed restrictions with time-dependent machine learning techniques

Fink, Olga ; Zio, Enrico ; Weidmann, Ulrich

Expert systems with applications, 2013-11, Vol.40 (15), p.6033-6040 [Periódico revisado por pares]

Amsterdam: Elsevier Ltd

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