Back close
Admissions

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
Scalable Fault Models for Prognosis and Diagnosis of Generators in Aircraft Electrical Systems
Scalable Fault Models for Prognosis and Diagnosis of Generators in Aircraft Electrical Systems
Amaran- A Robotic Coconut tree Climber
Amaran- A Robotic Coconut tree Climber
Error Linear Complexity Measures for Multisequences
Error Linear Complexity Measures for Multisequences
Gesture Controlled Automation For Physically Impaired
Gesture Controlled Automation For Physically Impaired
Admissions Apply Now