Internship with Consultix @ iHubLocation: Cairo, Egypt
Duration: 20 weeks starting 7/11/2015 Type: Unpaid CHEP Internship Credit: 4 weeks |
|
The scope of the internship is to build an Autonomous Navigation Brain "ANB". It's about building an autonomous navigation drive system for unmanned vehicles that utilizes the different sensing devices attached to vehicle to extract meaningful information for vehicle localization, positioning, 3D mapping, and collision avoidance.
The system should operate for a considerable time period without human intervention. This is associated with the learning and inference capabilities, where the vehicle should have to be able to adapt its behavior and move in dynamic environments without involving humans in the navigation loop.
Doing so will require an understanding for the mathematics theories of Linear Algebra, and 2-3D Geometry, sensing fusion Algorithms, different Dynamic control methods, probability theories, machine learning algorithms especially "Deep Learning".
The system should operate for a considerable time period without human intervention. This is associated with the learning and inference capabilities, where the vehicle should have to be able to adapt its behavior and move in dynamic environments without involving humans in the navigation loop.
Doing so will require an understanding for the mathematics theories of Linear Algebra, and 2-3D Geometry, sensing fusion Algorithms, different Dynamic control methods, probability theories, machine learning algorithms especially "Deep Learning".
Requirements:
- Undergrad in Ain Shams University
- To be a Junior (2nd year) or Senior I (third year) student
- To be from the following programs/departments: ECE, CSE, MCT, COMM and CESS
- Knowledge and experience in the following is a plus:
- Artificial Intelligence
- Image processing
- C++
- Microcontroller based systems
- Sensor Fusion systems
Responsibilities:
- Be available and dedicated for 1 day/week for the duration of the internship (20 weeks)
- Assist in building and testing a complete ANB system
- Document all data and results following the iHub documentation guidelines
Submission has been closed on 15/2/2016
