Muhammad Murtaza Khan
FAST
· 2016
·
i16 - 0478
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Year
2016
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Skills
Raspberry Pi, Python, Tensorflow, Carla Simulator, Keras, Proteus
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Nemobile: The Self-Driving Robot This project aims to design and implement an autonomous self driving robot, which will be able to detect lanes and obstacles in its way. The model we have designed is a proof of concept model which can easily be implemented on real life vehicles by adding minor adjustments. Some minor adjustments include, using a higher resolution camera and using the images from camera to detect obstacles instead of ultrasonic sensors. Using images to detect obstacles has also been implemented by us but due to the smaller scale of the model with respect to its speed, it was more viable to use ultrasonic sensors on the smaller model. On a larger scale model using the image processing algorithm developed will be more suitable. This product has 2 major future aspirations, the first being that this proof of concept can be used to make Pakistan's first self driving vehicle, these type of vehicles can be used on public transport in Pakistan and will stop dependency on human drivers. This will decrease the accidents caused on the road by a huge margin and also decrease traffic caused by human errors. Another Future aspiration for this project is to make a self-driving kit which is compatible with almost any car. After installation of this kit the car will be fully autonomous, this will be the next step towards a new product which will match Tesla's market and will be advantageous to Pakistan's economy \
Provenance
Source file: Graduate Directory FAST School of Engineering - 2020 (Final) (1).pdfFrom job #20 page 86
Created: 1778226039