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dc.contributor.author | 03-134172-040, YASEEN RANA | |
dc.contributor.author | 03-134172-026, TAYYAB AHMAD JAVED | |
dc.date.accessioned | 2024-11-04T08:39:59Z | |
dc.date.available | 2024-11-04T08:39:59Z | |
dc.date.issued | 2021-07-18 | |
dc.identifier.other | BULC799 | |
dc.identifier.uri | http://hdl.handle.net/123456789/18338 | |
dc.description.abstract | In the modern era, the vehicles are focused to be automated to give human driver relaxed driving. So this project is about the conversion of public transport into the autonomous transport/car (Driverless car). We will also take a small overview about the problems associated with it, objectives, requirements and the expected outcome of this step. It will also cover the standards and give the critical comparison between conventional and driverless transport/cars. This AI based car will cause a society, legal and ethical challenges and most importantly environmental restrictions. We will also have a short discussion on previous similar technology and will take a look how this is different and what work is need to done to make this technology even better in the future. The project is AI based using neural networks and OpenCV in python3. This system consists of two main subsystems, Input unit i.e. camera & sensors and processing unit i.e. computer or microcontroller. The prototype will be able to perform three basic tasks, It will be able to perform: self-driving on track, sign detection, signal/traffic light detection, object detection and collision avoidance. It provides less human interaction and more efficient driving experience. | en_US |
dc.description.sponsorship | Supervisor: Munaza Sher | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartofseries | ;BULC799 | |
dc.title | Jespar | en_US |
dc.type | Project Reports | en_US |