MPG ETH CLS Student Projects

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Deep Scale Learning for Visual Motion Estimation (MA/SA)

The goal of this project is to train a deep neural network to estimate scale for a purely visual motion estimation framework. This will enable robots to perform metric ego-motion estimation without use of additional information sources such as an IMU or wheel encoders.

SLAM Machine Learning Python C++ Robotics Computer Vision Convolutional Neural Networks (CNNs)

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Learning Visual Object Descriptors

The goal of this project is developing and evaluating a machine learning based full-object descriptor algorithm for object retrieval

C++ Python Machine Learning Convolutional Neural Networks (CNNs) TensorFlow Caffe Computer Vision Classification

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Distributed Wireless Control

In a new research project, we seek to integrate recent advances in wireless networking with networked control to develop a superior solution for reliable and economic wireless control for cyber-physical systems (CPSs).

Distributed control networked control wireless networks cyber-physical systems theory application

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Visual and Event-based Cameras for Robot Navigation

This project aims to explore the benefits of integrating the output of a conventional frame-based camera (capturing visible light) with that of an event-based camera, such as the Dynamic Vision Sensor (DVS) in the context of robot navigation and Simultaneous Localization And Mapping (SLAM).

Camera Calibration DVS Sensor Fusion Event-based processing Real-time SLAM Computer Vision

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Loop Closure in the Presence of Perceptual Aliasing

The goal of this project is to extend a place recognition system to return not only the best image but also an estimation of the error associated to the matched location to improve place recognition in environments presenting perceptual aliasing.

Place Recognition Loop Closure Odometry/SLAM Perceptual Aliasing Computer Vision

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Learning Control

Machine learning for advanced control of intelligent systems

Control machine learing adaptive control robotics dynamic systems optimization intelligent systems

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