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

Mu-share: Multi-user Realtime Shared Access platform for Remote Experimentation
Mu-share: Multi-user Realtime Shared Access platform for Remote Experimentation
Edge Preserving Image Fusion Using RMS Contrast and Linear Prediction Model
Edge Preserving Image Fusion Using RMS Contrast and Linear Prediction Model
ClePa – A robot for cleaning staircase steps
ClePa – A robot for cleaning staircase steps
Around View System
Around View System
Abuse of Oral Contraceptives
Abuse of Oral Contraceptives
Admissions Apply Now