A Hierarchical Deep Architecture and Mini-Batch Selection Method For Joint Traffic Sign and Light Detection
Deep hierarchical architecture in conjunction with a mini-batch proposal selection mechanism that allows a network to detect both traffic lights and signs from training on separate traffic light and sign datasets.
Capstone Design Project
Helped build a learning-based autonomous lane keeping system for a final year engineering design project. The end result was deployed onto a modified Toyota Corolla, allowing the car to autonomously steer on various urban roads in the Kitchener-Waterloo region with only a single monocular camera.
Fast Semantic Segmentation
Full Tensorflow implementation of the work described in ”ICNet for Real-Time Semantic Segmentation on High-Resolution Images”. Only project to successfully implement the training and compression process.
Realty Sheets is a cloud based software tool that helps Real Estate agents manage their Open Houses using customizable sign-in sheets.