Team Members:
Name | Mobile | CV (Curriculum Vitae) | GitHub | ||||
---|---|---|---|---|---|---|---|
Mahmoud Fathy | +201152060880 | Click Here | Click Here | Click Here | [email protected] | ||
Nada Ashraf |
+201060737331 | Click Here | Click Here | Click Here | [email protected] | ||
Omar Ismail |
+201021554848 | Click Here | Click Here | Click Here | [email protected] | ||
Sara Fouad |
+201143507334 | Click Here | Click Here | Click Here | [email protected] |
Supervisors:
Name | ||
Dr. Alaa Hamdy | Click Here | [email protected] |
Eng. Lobna Shaheen | Click Here | [email protected] |
Project Description:
The main idea of this project is to increase the safety of self-driving technology. We propose a self-driving car prototype that integrates between different technologies including some algorithms which are Road lane detection algorithm, disparity map algorithm to detect the distance between the car and other vehicles, and Anomalies detection using Support Vector Machine classification algorithm. The car consists of a raspberry pi as the main component that runs the algorithms, dual cameras attached to the raspberry pi, and a variety of sensors. Also, there is an important component in the system which is the Arduino as it is responsible for the car motors and their motions. Arduino receives signals from the raspberry pi component and based on them, it takes the appropriate decision for the car motors.
Documents:
- Proposal: SelfDrivingCar_Proposal_DOC
- SRS: SelfDrivingCar_SRS_DOC
- SDD: SelfDrivingCar_SDD_DOC
- Thesis: SelfDrivingCar_Thesis_DOC
Presentations:
- Proposal: SelfDrivingCar_Proposal_PPT
- SRS: SelfDrivingCar_SRS_PPT
- SDD: SelfDrivingCar_SDD_PPT
- Technical : SelfDrivingCar_Tech_PPT
- Thesis: SelfDrivingCar_Thesis_PPT
Paper:
- Elsevier conference paper at MobiSPC 2020 (17th International Conference on Mobile Systems and Pervasive Computing) in Leuven, Belgium
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- Paper Draft: SelfDrivingMobiSPC
- Paper Link: Click Here
Competition:
Dell Envision The Future
- Phase 1: DellAbstract
- phase 2: Dell Progress Document
- phase 2 video: Watch
User Experience:
Demo :