Back close

Lane Changing and Overtaking Decision Autonomous Vehicles

School: School of Engineering

Lane Changing and Overtaking Decision	 Autonomous Vehicles

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.

Related Projects

A Case Study on Medical Camps During 2018 Kerala Floods
A Case Study on Medical Camps During 2018 Kerala Floods
ClePa – A robot for cleaning staircase steps
ClePa – A robot for cleaning staircase steps
Negative Pressure Isolation Hooded Wheel Chair
Negative Pressure Isolation Hooded Wheel Chair
Design and Optimization of Joint Torque Sensor for Robotic Applications
Design and Optimization of Joint Torque Sensor for Robotic Applications
E-Literacy
E-Literacy
Admissions Apply Now