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.
