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

KaraChara- Hand Orthosis for Rehabilitation of Stroke Patients
KaraChara- Hand Orthosis for Rehabilitation of Stroke Patients
ACIST : Amrita Content based Indexing and Searching Tool
ACIST : Amrita Content based Indexing and Searching Tool
Design and Optimization of Joint Torque Sensor for Robotic Applications
Design and Optimization of Joint Torque Sensor for Robotic Applications
Edge Preserving Image Fusion Using RMS Contrast and Linear Prediction Model
Edge Preserving Image Fusion Using RMS Contrast and Linear Prediction Model
Search and Rescue Robot
Search and Rescue Robot
Admissions Apply Now