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Name: Nicola Loi
Type: User
Company: ETH Zürich
Bio: Research Engineer @ ETH Zürch
Name: Nicola Loi
Type: User
Company: ETH Zürich
Bio: Research Engineer @ ETH Zürch
Multi-task learning for semantics and depth, 3D Object Detection from Lidar Point Clouds. Graded projects for the ETH course "Deep Learning for Autonomous Driving".
Duckietown
Infinite horizon policy optimization for drone navigation. Graded project for the ETH course "Dynamic Programming and Optimal Control".
The MAGSAC++ algorithm with custom enhancements for extra robustness and speed with 2D point clouds.
MPC controllers for temperature regulation of a building. Graded project for the ETH course "Model Predictive Control".
The Open3D library with faster 2D versions of selected point cloud functions.
Deep-RL-based safety landing using RGB camera on rough terrains. Exam Project for the ETH course "Perception and Learning for Robotics".
RRT*-MPC path planning for spacecraft navigation in dynamic environment. Graded project for the ETH course "Planning and Decision Making for Autonomous Robots".
Hybrid Extended Kalman Filter and Particle Filter. Graded project for the ETH course "Recursive Estimation".
Fork for PR
Monocular Visual Odometry pipeline. Graded project for the ETH course "Vision Algorithms for Mobile Robotics".
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.