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

Object Detection From Cluttered Image
Object Detection From Cluttered Image
WINSOC – Wireless Sensor Networks with Self-Organization Capabilities for Critical and Emergency Applications
WINSOC – Wireless Sensor Networks with Self-Organization Capabilities for Critical and Emergency Applications
Analysis of Seepage Induced Soil Mass Movements and Stabilization using sand Drains
Analysis of Seepage Induced Soil Mass Movements and Stabilization using sand Drains
IoT Based Crop Protection System
IoT Based Crop Protection System
Bio Water Filtration Unit for Improved Access to Clean Water – Communication for Sustainable Change
Bio Water Filtration Unit for Improved Access to Clean Water – Communication for Sustainable Change
Admissions Apply Now