Autonomous Vehicle

VisionDrive AI: Intelligent Driver & Road Monitoring

Advancing Safety and Intelligence in Autonomous Vehicles

Project Overview

Autonomous vehicles are reshaping the future with advanced sensing and AI technologies. At the heart of this innovation are three pillars:

Perception

Understanding the environment with stereo vision, LiDAR, and GPS.

Localization

Pinpointing the vehicle’s exact position for safe navigation.

Decision-Making

Executing intelligent, real-time driving actions.

Project Goal

Our objective is to develop an intelligent perception system that seamlessly integrates Stereo Vision Camera, LiDAR, and GPS technologies. This integration aims to enhance the safety, accuracy, and adaptability of self-driving cars, establishing new benchmarks in autonomous vehicle technology.

Research & Development Activities

1. Mapping & Data Collection

  • 3D mapping of NEDUET Campus
  • GPS correction implementation
  • Visual data processing
  • IMU pose information integration

2. Simulation & Testing

  • Virtual testing using CARLA Simulator
  • MPC Controller implementation
  • ROS integration for vehicle actuators
  • Real-world performance validation

Future Directions

Plans to enhance AI models for various environmental conditions, implement V2X communication, ensure compliance with legal and safety regulations, and utilize RTK GPS for improved navigation.

Achievements