Pakistan successfully tests its first AI-powered driverless car at NED University, marking a historic step in self-driving technology in Pakistan. The autonomous vehicle, developed by the National Centre for Artificial Intelligence, operated smoothly during its trial run, showcasing advanced sensor systems and computer vision in vehicles. This milestone highlights Pakistan’s growing engineering and AI capabilities.
The project converted a China-imported electric car into an autonomous driving system using robotics in automotive, radar-assisted steering, and high-resolution sensors. Dr Muhammad Khurram, project lead, confirmed the vehicle can handle Pakistan road conditions, including potholes and uneven surfaces. Lane detection technology, traffic signal recognition, and object detection AI ensure safe navigation in urban environments.
During the trial run at NED University, the car drove at speeds between 15 and 20 km/h, turned independently, and correctly interpreted traffic signals. Continuous development over a year allowed engineers to fine-tune steering control using radar and lane recognition, and speed-limit identification. This AI-powered driverless car demonstrates the potential of smart mobility solutions in Pakistan and positions the country on the global autonomous vehicle map.
The successful test also opens doors for future AI in transportation projects. Experts believe this innovation could reduce traffic accidents, improve road safety, and create opportunities for local engineering talent. The combination of electric car conversion, robotics, and autonomous technology marks a significant achievement for NED University’s technology innovation.
Pakistan’s first AI-powered driverless car represents not just a technological feat but a glimpse into the future of self-driving cars in Pakistan. With continued research and development, commercial deployment may become a reality, boosting the nation’s position in global automotive advancements.
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Pakistan successfully tests its first AI-powered driverless car, showcasing smart mobility solutions and advanced sensor systems in autonomous vehicles.
