Sensor Fusion for Intelligent Road Transportation

dc.contributor.author	Project Supervisor Asst Prof. Dr. Shahzor Ahmad Asst Prof. Sobia Hayee, Muhammad Ibrahim Khan Syed Muhammad Taha Jilani
dc.date.accessioned	2025-03-06T08:28:35Z
dc.date.available	2025-03-06T08:28:35Z
dc.date.issued	2021
dc.identifier.other	DE-ELECT-39
dc.identifier.uri	http://10.250.8.41:8080/xmlui/handle/123456789/50652
dc.description	Project Supervisor Asst Prof. Dr. Shahzor Ahmad Asst Prof. Sobia Hayee	en_US
dc.description.abstract	This project is aimed towards developing a model using a camera and a 2D Raspberry Pi (RP) LiDAR for speed estimation in use for Intelligent Road Transportation. Our project aims to fuse the two 2D references in order to be able to not only estimate speed of vehicles passing but also generate a vehicle profile by obtaining its dimensions and also classify each vehicle. We have successfully developed a speed estimating model using our LiDAR and car classification model for our vehicles using a Support Vector Machine (SVM) classifier. We have also achieved sensor fusion of our camera and 2D LiDAR. For testing our model, we created a prototype using a gantry, model cars, 5 MP RP 3 B+ camera, a RP 2D LiDAR and a RP 3 B+ Microprocessor.	en_US
dc.language.iso	en	en_US
dc.publisher	College of Electrical & Mechanical Engineering (CEME), NUST	en_US
dc.title	Sensor Fusion for Intelligent Road Transportation	en_US
dc.type	Project Report	en_US