![]() In 2010 we founded a small-size soccer robots team in CE department of SBU under supervision of Prof. I use it almost in most of my AI tools, since debugging AI algorithms is always a challenging task. It provides a super-easy api for developers to draw plots and scatters and watch the behavior of code variables just with few lines of code. We could also deploy this motion planner on small-size soccer robots as a practical experiment.Ī simple but very useful c++ tool that I’ve developed based on qCustomPlot library to ease debugging of c++ codes. The car was simulated and running in Webots environment. I developed a motion planning technique by mixing Artificial Potential Fields and well-known RRT path planner to computer online obstacle-free paths for an autonomous car. Mansour Jamzad in Image processing lab of Computer Engineering Faculty of Sharif University of Technology. This was the subject of my Master thesis, supervised by Prof. Motion Planning for Simulated Autonomous Car Besides, this product features a view synthesis module to provide stunning scenes from different views of the field and to perform camera interpolations. The vision engine has several processing modules including camera position estimation, camera pose exhaustive search for initializing the pose tracker, shot boundary detection, LM-based optimizer and etc. A main processing step in this system is to estimate camera calibration based on corresponding points in soccer pitch. My role was developing image processing and vision algorithms and providing high-level API for UI programmers. ![]() This company creates a desktop software for analyzing the games and generating video clips. Sepehr is a computer vision start-up company that develop solutions in sport analysis domain. To do this, we consider different interactions of the pedestrians with crowd simulation techniques to improve the prediction accuracy. You can find my cv here or visit my Linkdin profile.Īs a part of CrowdBot project we are developing a pedestrian motion prediction system to be used in crowded areas. Beforehand, I was leading Cyrus Robotics team, aiming to participate in Small-size league of Robocup. I also developed an Iranian License Plate Recognizer. I have been working as computer vision expert for two years in a private company in Tehran, where we designed AI tools for sport analysis and content generation. I am developing a Pedestrian Motion Prediction system based on crowd simulation techniques. My PhD project is a part of CrowdBot project, an H2020 European project that aims to enable mobile robots to navigate autonomously and assist humans in crowded areas. I joined Inria Center of Rennes in January of 2018 as PhD student of prof Julien Pettre. I received a master in Artificial Intelligence from Sharif University of Technology, Tehran, in 2014 and beforehand a Bachelor of Electrical Engineering from Shahid Beheshti University, Tehran, in 2012. ![]() Address : INRIA Rennes – Bretagne Atlantique – 35042 Rennes, FranceĪssistant : +33 2 99 84 22 52 (Hélène de La Ruée)
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