One of the most fundamental tasks in computer vision for autonomous driving is lane lines detection on road. Lane lines are painted for humans to see and follow while driving. In a very similar way, an autonomous vehicle that uses human designed infrastructure, needs to see the lane markings to steer accordingly and follow the road trajectory. […]

This paper presents an automated smart car parking system that utilizes IR sensors to detect vehicles and provide feedback on available parking spaces in complex multi-storeyed parking structures. The system is designed to navigate drivers to the nearest available parking space using visual aids, effectively reducing search time. This cost-effective system is ideal for use […]

A system for automatic detection and characterization of cracks in road flexible pavement surfaces is proposed. It does not require manually labeled samples to minimize human subjectivity. Crack detection is based on unsupervised training of a learning from samples paradigm using a subset of the image database. The system classifies image blocks as containing crack […]

The aim of this project is to develop a Chrome extension that can detect crypto-jacking attempts in real-time and block the websites containing such attempts. Crypto-jacking is the unauthorized use of someone’s computing resources to mine cryptocurrencies. This type of attack can go undetected for long periods and cause damage to the user’s device, such […]