Programs
- M. Tech. in Automotive Engineering -Postgraduate
- Fellowship in Uro Oncology & Robotic Urology 1 Year -Fellowship
In this project we introduce a modified deep auto encoder model based on extreme learning machine (ELM-MDAE) network to capture lane changing and overtaking behaviour of the vehicles and automatically extract the training data in real time. By using extracted data, LightCBM model is trained to establish a novel lane changing and overtaking decision model.
