Computer Vision projects:
April 9, 2025 ยท View on GitHub
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Deep Image Prior for Inverse Problems in ImagingUse the Deep Image Prior to solve inverse problems in imaging. Impact: Implement the Deep Image Prior to provide high-quality solutions to inverse problems in imaging that are ubiquitous in industry. Expertise gained: Artificial Intelligence, Computer Vision, Deep Learning, Image Processing, Machine Learning, Neural Networks, Optimization, Signal Processing |
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Augmented Reality for ArchitectureDevelop an augmented reality system to enhance a photo or video of a 2D architectural floor plan printed on paper with a virtual 3D representation of the structure. Impact: Develop a proof-of-concept augmented reality system to aid in architectural design. Expertise gained: Computer Vision, Image Processing, Sensor Fusion and Tracking |
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Visual - Inertial Odometry for a MinidroneDesign and implement a visual/visual-inertial odometry system using onboard camera for a Minidrone. Impact: Advance aerial vehicle control in contracted spaces with unforeseen environment conditions. Expertise gained: Autonomous Vehicles, Computer Vision, Drones, Robotics, Aerospace, Control, Image Processing, Low-cost Hardware, Modeling and Simulation, Signal Processing, State Estimation, UAV |
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Traffic Light Negotiation and Perception-Based DetectionDetect traffic lights and perform traffic light negotiation at an intersection in Unreal environment. Impact: Contribute to the advancement of autonomous vehicles traffic coordination in intersections through simulation. Expertise gained: Autonomous Vehicles, Computer Vision, Automotive, Control, Deep Learning, Image Processing, Modeling and Simulation, Sensor Fusion and Tracking |
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Face Detection and Human Tracking RobotDesign and implement a real time autonomous human tracking robot using low-cost hardware. Impact: Leverage mobile technology and deep learning to advance human detection algorithms for impacting human safety and security. Expertise gained: Artificial Intelligence, Computer Vision, Robotics, Deep Learning, Embedded AI, Human-Robot Interaction, Mobile Robots, Modeling and Simulation, Machine Learning, Low-cost Hardware, Image Processing, Control |
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Robust Visual SLAM Using MATLAB Mobile Sensor StreamingPerform robust visual SLAM using MATLAB Mobile sensor streaming Impact: Enable visual SLAM from streaming sensors and extend the state-of-art in real-time visual SLAM algorithms. Expertise gained: Autonomous Vehicles, Computer Vision, Drones, Robotics, Automotive, AUV, Mobile Robots, Manipulators, Humanoid, UAV, UGV |
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Change Detection in Hyperspectral ImageryDevelop an efficient method for detecting small changes on Earth surface using hyperspectral images. Impact: Revolutionize the management of natural resources, monitoring, and preventing of disasters, going beyond what is visible to the naked eye. Expertise gained: Computer Vision, Image Processing, Deep Learning |
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Autonomous Navigation for Vehicles in Rough TerrainDesign and implement a motion planning algorithm for off-road vehicles on rough terrain. Impact: Expand the frontiers of off-road exploration and navigation using mobile robots for precision agriculture, firefighting, search and rescue, and planetary exploration. Expertise gained: Autonomous Vehicles, Computer Vision, Robotics, Image Processing, Mobile Robots, SLAM, UGV, Optimization |
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Automatically Segment and Label Objects in VideoImplement algorithms to automatically label data for deep learning model training Impact: Accelerate the development of robust AI algorithms for self-driving vehicles. Expertise gained: Artificial Intelligence, Computer Vision, Deep Learning, Machine Learning |
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Deep Learning for UAV Infrastructure InspectionAutomate the process of infrastructure inspection using unmanned aerial vehicles and deep learning. Impact: Enhance safety and speed of infrastructure inspection across a wide range of industries. Expertise gained: Computer Vision, Drones, Artificial Intelligence, Robotics, UAV, SLAM, Deep Learning |
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Applying Machine Learning for the Development of Physical Sensor Models in Game Engine EnvironmentRealistic synthetic sensor data will soon eliminate the need of collecting tons of real data for machine learning based perception algorithms. Accelerate this transition by creating a real-time camera distortion model. Impact: Reduce development efforts of autonomous vehicles and robots. Expertise gained: Artificial Intelligence, Autonomous Vehicles, Computer Vision, Deep Learning, Machine Learning, Modeling and Simulation, Neural Networks |
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Voice Controlled RobotSmart devices and robots have become part of our everyday life and human-robot interaction plays a crucial role in this rapidly expanding market. Talking to a machine is going to complete change the way we work with robots. Impact: Open up the opportunities to create robots that can be an intuitive part of our world. Expertise gained: Artificial Intelligence, Computer Vision, Robotics, Signal Processing, Natural Language Processing, Mobile Robots, Human-Robot Interaction, Low-Cost Hardware |
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Autonomous Vehicle Localization Using Onboard Sensors and HD Geolocated MapsRevolutionize the current transportation system by improving autonomous vehicles localization for level 5 automation. Impact: Contribute to the change of automobile industry, and transportation system. Expertise gained: Computer Vision, Robotics, Autonomous Vehicles, SLAM, State Estimation, Sensor Fusion and Tracking |