2021 28th IEEE International Conference on Electronics, Circuits, and Systems (ICECS), 2021
In this paper we present our implementation of a Deep Queue Network (DQN) AI Agent model for car ... more In this paper we present our implementation of a Deep Queue Network (DQN) AI Agent model for car autonomous navigation. The agent is capable of lane keeping without making any collisions with the surrounding vehicle and has learnt to move fast and safe in intersections. The model has been trained using two front camera sensors (depth and segmentation) and a collision detector. We also demonstrate how to connect this agent to functional mockup units (FMUs) to simulate the mechatronics part of the car. The deployment of our model has been demonstrated in a CARLA car simulator environment.
When the architecture is the art of designing a spa ce for certain purposes; the architectural de... more When the architecture is the art of designing a spa ce for certain purposes; the architectural design of the museum is the ability to create a spe cial and inspiring envelop, which provides its visitors with different experiences, according to its cultural message. It became the main place for preserving artworks, inventions, and huma n achievements. The architectural design of museums has passed through many stages from the onset of the concept of creating a space to preserve artifacts, until it became now th e main cultural and educational beacon for communities, which made it from the most important building types. It was developed over centuries until it became a separate building with special architectural characteristics. This paper discusses the evolution of the museum archite cture from the B. C till now, in order to study its evolving circumstances, which had managed its esign concept and the new design technologies, which is affecting its design nowaday s.
2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE)
Visually impaired people struggle to live without assistance or face any aspect of life alone esp... more Visually impaired people struggle to live without assistance or face any aspect of life alone especially with people that cannot afford extra assistance equipment. Usually impaired people receive assistance by either human or wearable devices. The first one bears the burden on the human, while the second adds financial burdens nevertheless the hassle of identifying an object is not decreased. Smartphones are almost accessible to everyone and equipped with accessibility features including sensors that can be utilized to help both visually impaired and sighted people. Thus, this paper proposes an approach using Convolutional Neural Network (CNN), speech recognition and smartphone camera calibration aiming at facilitating the process of indoor guidance for visually impaired people. A smartphone's camera acts as the user's eyes. A pre-trained CNN model is used for object detection and the distance to objects is calculated to guide the user toward the right directions and to warn them of obstacles. The speech recognition part is used as a communication channel between visually impaired people and the smartphone. Also, the proposed approach supports object personalising that helps to distinguish user's item from other items found in the room. To evaluate the personalized objected detection, a customized dataset is created for two objects. The experimental results indicate that the accuracy is 92% and 87% for both objects respectively. Also, we experiment the detect distance of two objects against their real distances. The results achieve 0.05 and 0.08 error ratio.
2021 28th IEEE International Conference on Electronics, Circuits, and Systems (ICECS), 2021
In this paper we present our implementation of a Deep Queue Network (DQN) AI Agent model for car ... more In this paper we present our implementation of a Deep Queue Network (DQN) AI Agent model for car autonomous navigation. The agent is capable of lane keeping without making any collisions with the surrounding vehicle and has learnt to move fast and safe in intersections. The model has been trained using two front camera sensors (depth and segmentation) and a collision detector. We also demonstrate how to connect this agent to functional mockup units (FMUs) to simulate the mechatronics part of the car. The deployment of our model has been demonstrated in a CARLA car simulator environment.
When the architecture is the art of designing a spa ce for certain purposes; the architectural de... more When the architecture is the art of designing a spa ce for certain purposes; the architectural design of the museum is the ability to create a spe cial and inspiring envelop, which provides its visitors with different experiences, according to its cultural message. It became the main place for preserving artworks, inventions, and huma n achievements. The architectural design of museums has passed through many stages from the onset of the concept of creating a space to preserve artifacts, until it became now th e main cultural and educational beacon for communities, which made it from the most important building types. It was developed over centuries until it became a separate building with special architectural characteristics. This paper discusses the evolution of the museum archite cture from the B. C till now, in order to study its evolving circumstances, which had managed its esign concept and the new design technologies, which is affecting its design nowaday s.
2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE)
Visually impaired people struggle to live without assistance or face any aspect of life alone esp... more Visually impaired people struggle to live without assistance or face any aspect of life alone especially with people that cannot afford extra assistance equipment. Usually impaired people receive assistance by either human or wearable devices. The first one bears the burden on the human, while the second adds financial burdens nevertheless the hassle of identifying an object is not decreased. Smartphones are almost accessible to everyone and equipped with accessibility features including sensors that can be utilized to help both visually impaired and sighted people. Thus, this paper proposes an approach using Convolutional Neural Network (CNN), speech recognition and smartphone camera calibration aiming at facilitating the process of indoor guidance for visually impaired people. A smartphone's camera acts as the user's eyes. A pre-trained CNN model is used for object detection and the distance to objects is calculated to guide the user toward the right directions and to warn them of obstacles. The speech recognition part is used as a communication channel between visually impaired people and the smartphone. Also, the proposed approach supports object personalising that helps to distinguish user's item from other items found in the room. To evaluate the personalized objected detection, a customized dataset is created for two objects. The experimental results indicate that the accuracy is 92% and 87% for both objects respectively. Also, we experiment the detect distance of two objects against their real distances. The results achieve 0.05 and 0.08 error ratio.
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Papers by Nouran khaled