The code is used for calculating the position and attitude information of a special space body by resolving the P4P problem. Additionally, the deep learning method is applied for object detection.To get the correct result, those tools are needed: Caffe, CUDA, Visual Studio, cuDNN, OpenCV, NVDIA TX1 or TX2.</div
This paper provides a method for dynamic simulation and target vehicle detection of the CubeSat spac...
Today, different positioning applications such as location-based services and autonomous navigation ...
This work proposes a deep neural net (DNN) that accomplishes the reliable visual recognition of a ch...
The space motion control is an important issue on space robot, rendezvous and docking, small satelli...
Space situational awareness (SSA) systems play a significant role in space navigation missions. One ...
Space robotic missions with increased levels of autonomy are being pursued in wide-array of orbital ...
Tracking, learning and detection in the real video is very important for video surveillance. In this...
Due to the steadily increasing quantity of debris in orbit, active debris removal is widely conside...
We present a combined machine learning and computer vision approach for robots to localize objects. ...
Active debris removal missions pose demanding guidance, navigation and control requirements. We pres...
The recent advancements in the field of Deep Learning have fostered solutions to many complex image ...
Many works in collaborative robotics and human-robot interaction focuses on identifying and predicti...
The project of this thesis consists in the development of a software able to recognize and classify ...
This paper discusses a spatial sensor to identify and track objects in the environment. The sensor i...
Active debris removal missions pose demanding guidance, navigation and con-trol requirements. We pre...
This paper provides a method for dynamic simulation and target vehicle detection of the CubeSat spac...
Today, different positioning applications such as location-based services and autonomous navigation ...
This work proposes a deep neural net (DNN) that accomplishes the reliable visual recognition of a ch...
The space motion control is an important issue on space robot, rendezvous and docking, small satelli...
Space situational awareness (SSA) systems play a significant role in space navigation missions. One ...
Space robotic missions with increased levels of autonomy are being pursued in wide-array of orbital ...
Tracking, learning and detection in the real video is very important for video surveillance. In this...
Due to the steadily increasing quantity of debris in orbit, active debris removal is widely conside...
We present a combined machine learning and computer vision approach for robots to localize objects. ...
Active debris removal missions pose demanding guidance, navigation and control requirements. We pres...
The recent advancements in the field of Deep Learning have fostered solutions to many complex image ...
Many works in collaborative robotics and human-robot interaction focuses on identifying and predicti...
The project of this thesis consists in the development of a software able to recognize and classify ...
This paper discusses a spatial sensor to identify and track objects in the environment. The sensor i...
Active debris removal missions pose demanding guidance, navigation and con-trol requirements. We pre...
This paper provides a method for dynamic simulation and target vehicle detection of the CubeSat spac...
Today, different positioning applications such as location-based services and autonomous navigation ...
This work proposes a deep neural net (DNN) that accomplishes the reliable visual recognition of a ch...
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