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

Energy Management on Smart Grid using Embedded Systems
Energy Management on Smart Grid using Embedded Systems
Advanced Threat Collection Platforms
Advanced Threat Collection Platforms
Kernel Based Approaches for Context Based Image Annotation
Kernel Based Approaches for Context Based Image Annotation
Mu-share: Multi-user Realtime Shared Access platform for Remote Experimentation
Mu-share: Multi-user Realtime Shared Access platform for Remote Experimentation
Netravaad
Netravaad
Admissions Apply Now