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

Detailed computational modelling and optimization of natural draught cook stoves.
Detailed computational modelling and optimization of natural draught cook stoves.
Design and Development of an IoT Based Smart Irrigation and Fertilization System for Chilli Farming
Design and Development of an IoT Based Smart Irrigation and Fertilization System for Chilli Farming
Developing a Sustainable Education System for Rural Chhattisgarh
Developing a Sustainable Education System for Rural Chhattisgarh
Formula SAE
Formula SAE
Mu-share: Multi-user Realtime Shared Access platform for Remote Experimentation
Mu-share: Multi-user Realtime Shared Access platform for Remote Experimentation
Admissions Apply Now