Driverless Vehicle Successfully Tested in Pakistan by NED University of Engineers

A meaningful milestone has just been achieved in Pakistan’s tech space. Engineers from NED University of Engineering and Technology have successfully tested an AI-powered driverless vehicle — something that puts the country on the map in autonomous mobility research.

🔍 What exactly is this vehicle?

This isn’t just a normal electric car. It’s a fully autonomous system that:

• Drives itself without human input
• Uses artificial intelligence to make real-time decisions
• Continuously learns from its environment

In simple terms, the “driver” is software.

AI-Powered Electric Vehicle Developed Under National Center for Artificial Intelligence Achieves Major Breakthrough in Karachi

 How the system works

The vehicle is built around a smart decision-making system developed under the National Center for Artificial Intelligence.

It combines:

• Sensors → detect obstacles and surroundings
• Cameras → provide visual input
• GPS → tracks location and navigation

All this data is processed instantly, allowing the vehicle to:

• Stay on track
• Avoid obstacles
• Adjust speed based on conditions

 Key features

• Electric vehicle (EV) platform
• Range: ~200 km per charge
• Backup system: 8–9 hours
• Current speed: 20 km/h (for testing phase)
• Adaptive speed control depending on road

 Current testing phase

Right now, the vehicle is being tested inside a controlled environment (university campus). This is standard practice before moving to public roads.

It allows engineers to:

• Train the AI safely
• Improve navigation accuracy
• Handle edge cases (unexpected obstacles, pedestrians, etc.)

Autonomous Car Uses Sensors, Cameras, and GPS; Offers 200km Range and Campus-Based Testing at 20 km/h

🇵🇰 Why this matters for Pakistan

This project is more than just a prototype. It signals:

• Growth in AI and robotics research
• Movement toward smart cities
• Potential for local innovation instead of imports
• Foundation for future industries like:
  • Autonomous transport
  • Delivery systems
  • Smart logistics