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An Autonomous Tracking and Landing Method for Unmanned Aerial Vehicles Based on Visual Navigation
An Autonomous Tracking and Landing Method for Unmanned Aerial Vehicles Based on Visual Navigation
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An Autonomous Tracking and Landing Method for Unmanned Aerial Vehicles Based on Visual Navigation

Wang, Bingkun ; Ma, Ruitao ; Zhu, Hang ; Sha, Yongbai ; Yang, Tianye

Drones (Basel), 2023-12, Vol.7 (12), p.703 [Periódico revisado por pares]

Basel: MDPI AG

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12
On co-estimation and validation of vehicle driving states by a UKF-based approach
On co-estimation and validation of vehicle driving states by a UKF-based approach
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On co-estimation and validation of vehicle driving states by a UKF-based approach

Wang, Peng ; Pang, Hui ; Xu, Zijun ; Jin, Jiamin

Mechanical sciences (Göttingen), 2021-01, Vol.12 (1), p.19-30 [Periódico revisado por pares]

Gottingen: Copernicus GmbH

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13
Unmanned Ground Vehicle Modelling in Gazebo/ROS-Based Environments
Unmanned Ground Vehicle Modelling in Gazebo/ROS-Based Environments
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Unmanned Ground Vehicle Modelling in Gazebo/ROS-Based Environments

Rivera, Zandra B. ; De Simone, Marco C. ; Guida, Domenico

Machines (Basel), 2019-06, Vol.7 (2), p.42 [Periódico revisado por pares]

Basel: MDPI AG

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14
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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15
Dual-Rate Extended Kalman Filter Based Path-Following Motion Control for an Unmanned Ground Vehicle: Realistic Simulation
Dual-Rate Extended Kalman Filter Based Path-Following Motion Control for an Unmanned Ground Vehicle: Realistic Simulation
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Dual-Rate Extended Kalman Filter Based Path-Following Motion Control for an Unmanned Ground Vehicle: Realistic Simulation

Carbonell, Rafael ; Cuenca, Ángel ; Casanova, Vicente ; Pizá, Ricardo ; Salt Llobregat, Julián J.

Sensors (Basel, Switzerland), 2021-11, Vol.21 (22), p.7557 [Periódico revisado por pares]

Basel: MDPI AG

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16
Reactive Autonomous Navigation of UAVs for Dynamic Sensing Coverage of Mobile Ground Targets
Reactive Autonomous Navigation of UAVs for Dynamic Sensing Coverage of Mobile Ground Targets
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Reactive Autonomous Navigation of UAVs for Dynamic Sensing Coverage of Mobile Ground Targets

Huang, Hailong ; Savkin, Andrey V. ; Li, Xiaohui

Sensors (Basel, Switzerland), 2020-07, Vol.20 (13), p.3720 [Periódico revisado por pares]

Basel: MDPI AG

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17
Application of the DMD Approach to High-Reynolds-Number Flow over an Idealized Ground Vehicle
Application of the DMD Approach to High-Reynolds-Number Flow over an Idealized Ground Vehicle
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Application of the DMD Approach to High-Reynolds-Number Flow over an Idealized Ground Vehicle

Misar, Adit ; Tison, Nathan A. ; Korivi, Vamshi M. ; Uddin, Mesbah

Vehicles, 2023-06, Vol.5 (2), p.656-681 [Periódico revisado por pares]

Basel: MDPI AG

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18
Micro Coaxial Drone: Flight Dynamics, Simulation and Ground Testing
Micro Coaxial Drone: Flight Dynamics, Simulation and Ground Testing
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Micro Coaxial Drone: Flight Dynamics, Simulation and Ground Testing

Dominguez, Victor H. ; Garcia-Salazar, Octavio ; Amezquita-Brooks, Luis ; Reyes-Osorio, Luis A. ; Santana-Delgado, Carlos ; Rojo-Rodriguez, Erik G.

Aerospace, 2022-05, Vol.9 (5), p.245 [Periódico revisado por pares]

Basel: MDPI AG

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19
Discrete and Continuous Dynamical Systems; Researchers from Dalian University of Technology Describe Findings in Discrete and Continuous Dynamical Systems (Obstacle Detection in Hybrid Cross-Country Environment Based on Markov Random Field for Unmanned Ground Vehicle)
Discrete and Continuous Dynamical Systems; Researchers from Dalian University of Technology Describe Findings in Discrete and Continuous Dynamical Systems (Obstacle Detection in Hybrid Cross-Country Environment Based on Markov Random Field for Unmanned Ground Vehicle)
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Discrete and Continuous Dynamical Systems; Researchers from Dalian University of Technology Describe Findings in Discrete and Continuous Dynamical Systems (Obstacle Detection in Hybrid Cross-Country Environment Based on Markov Random Field for Unmanned Ground Vehicle)

Journal of Technology & Science, 2015, p.498

Atlanta: NewsRx

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20
Toward the Usage of Deep Learning Surrogate Models in Ground Vehicle Aerodynamics
Toward the Usage of Deep Learning Surrogate Models in Ground Vehicle Aerodynamics
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Toward the Usage of Deep Learning Surrogate Models in Ground Vehicle Aerodynamics

Eiximeno, Benet ; Miró, Arnau ; Rodríguez, Ivette ; Lehmkuhl, Oriol

Mathematics (Basel), 2024-04, Vol.12 (7), p.998 [Periódico revisado por pares]

Basel: MDPI AG

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