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

Self-E
Self-E
Painting Bot
Painting Bot
Mu-share: Multi-user Realtime Shared Access platform for Remote Experimentation
Mu-share: Multi-user Realtime Shared Access platform for Remote Experimentation
BODHI: Public Surveillance & Awareness Tele-Operated Robot
BODHI: Public Surveillance & Awareness Tele-Operated Robot
Development of an On-board Integrated Switched Reluctance Motor (SRM) traction drive for Electric Vehicles (EVs)
Development of an On-board Integrated Switched Reluctance Motor (SRM) traction drive for Electric Vehicles (EVs)
Admissions Apply Now