Driverless Car Prototype Based on Deep Learning

Driverless Car Prototype Based on Deep Learning

Douglas Castilho

Douglas Castilho

Jardim Esperanca, Minas Gerais

Driverless Car Prototype Based on Deep Learning

Robotics, Artificial Intelligence

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Description

In this project, we are developing a system based on deep learning to a driverless car prototype. This system captures images of the environment and makes the decision to guide the prototype. The main architecture contains two integrated Raspberry Pi 3. The first device is connected to a coupled camera in front of the prototype and captures images from the environment to the decision-making system. The second raspberry manages the controls of the prototype engines. For training the Deep Learning model, we developed the database as follows: any person drives the prototype to avoid the obstacles ahead while the device captures images and stores what the human would do in that situation. This dataset is used to train a Deep Convolutional Neural Network in a GPU server with TensorFlow framework.

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Douglas C. added photos to project Driverless Car Prototype Based on Deep Learning

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Driverless Car Prototype Based on Deep Learning

In this project, we are developing a system based on deep learning to a driverless car prototype. This system captures images of the environment and makes the decision to guide the prototype. The main architecture contains two integrated Raspberry Pi 3. The first device is connected to a coupled camera in front of the prototype and captures images from the environment to the decision-making system. The second raspberry manages the controls of the prototype engines. For training the Deep Learning model, we developed the database as follows: any person drives the prototype to avoid the obstacles ahead while the device captures images and stores what the human would do in that situation. This dataset is used to train a Deep Convolutional Neural Network in a GPU server with TensorFlow framework.

Image

Douglas C. added photos to project Driverless Car Prototype Based on Deep Learning

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Driverless Car Prototype Based on Deep Learning

In this project, we are developing a system based on deep learning to a driverless car prototype. This system captures images of the environment and makes the decision to guide the prototype. The main architecture contains two integrated Raspberry Pi 3. The first device is connected to a coupled camera in front of the prototype and captures images from the environment to the decision-making system. The second raspberry manages the controls of the prototype engines. For training the Deep Learning model, we developed the database as follows: any person drives the prototype to avoid the obstacles ahead while the device captures images and stores what the human would do in that situation. This dataset is used to train a Deep Convolutional Neural Network in a GPU server with TensorFlow framework.

Image

Douglas C. added photos to project Driverless Car Prototype Based on Deep Learning

Medium 02f18855 e82f 4c06 891e 8c33222e75da

Driverless Car Prototype Based on Deep Learning

In this project, we are developing a system based on deep learning to a driverless car prototype. This system captures images of the environment and makes the decision to guide the prototype. The main architecture contains two integrated Raspberry Pi 3. The first device is connected to a coupled camera in front of the prototype and captures images from the environment to the decision-making system. The second raspberry manages the controls of the prototype engines. For training the Deep Learning model, we developed the database as follows: any person drives the prototype to avoid the obstacles ahead while the device captures images and stores what the human would do in that situation. This dataset is used to train a Deep Convolutional Neural Network in a GPU server with TensorFlow framework.

Image

Douglas C. added photos to project Driverless Car Prototype Based on Deep Learning

Medium 057d1dc8 6997 4848 9277 d8b314838473

Driverless Car Prototype Based on Deep Learning

In this project, we are developing a system based on deep learning to a driverless car prototype. This system captures images of the environment and makes the decision to guide the prototype. The main architecture contains two integrated Raspberry Pi 3. The first device is connected to a coupled camera in front of the prototype and captures images from the environment to the decision-making system. The second raspberry manages the controls of the prototype engines. For training the Deep Learning model, we developed the database as follows: any person drives the prototype to avoid the obstacles ahead while the device captures images and stores what the human would do in that situation. This dataset is used to train a Deep Convolutional Neural Network in a GPU server with TensorFlow framework.

Image

Douglas C. added photos to project Driverless Car Prototype Based on Deep Learning

Medium d8411122 2f19 4d7c b8d7 e13ba48cf1e2

Driverless Car Prototype Based on Deep Learning

In this project, we are developing a system based on deep learning to a driverless car prototype. This system captures images of the environment and makes the decision to guide the prototype. The main architecture contains two integrated Raspberry Pi 3. The first device is connected to a coupled camera in front of the prototype and captures images from the environment to the decision-making system. The second raspberry manages the controls of the prototype engines. For training the Deep Learning model, we developed the database as follows: any person drives the prototype to avoid the obstacles ahead while the device captures images and stores what the human would do in that situation. This dataset is used to train a Deep Convolutional Neural Network in a GPU server with TensorFlow framework.

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Douglas C. created project Driverless Car Prototype Based on Deep Learning

Medium d8411122 2f19 4d7c b8d7 e13ba48cf1e2

Driverless Car Prototype Based on Deep Learning

In this project, we are developing a system based on deep learning to a driverless car prototype. This system captures images of the environment and makes the decision to guide the prototype. The main architecture contains two integrated Raspberry Pi 3. The first device is connected to a coupled camera in front of the prototype and captures images from the environment to the decision-making system. The second raspberry manages the controls of the prototype engines. For training the Deep Learning model, we developed the database as follows: any person drives the prototype to avoid the obstacles ahead while the device captures images and stores what the human would do in that situation. This dataset is used to train a Deep Convolutional Neural Network in a GPU server with TensorFlow framework.

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