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Semantic 3D SLAM
Robots map their environment with their onboard sensors. However, the representations robots use are often abstract and can be ambiguous. For facilitating scene understanding and increased robustness, we aim to include machine learning and semantic relations into the mapping process.
Keywords: SLAM, semantics, machine learning, scene understanding, place recognition, localization
In this project we aim to leverage the challenge of Simultaneous Localization and Mapping (SLAM) to include semantics in the process. This shall help robots have a more human-like understanding of their environment and lead to efficient scene representations.
In this project we aim to leverage the challenge of Simultaneous Localization and Mapping (SLAM) to include semantics in the process. This shall help robots have a more human-like understanding of their environment and lead to efficient scene representations.
- Implement state of the art solutions for semantic scene segmentation
- Investigate multi-modal representations for semantic based scene fusion
- Familiarize yourself with the current state of the art
- Implement state of the art solutions for semantic scene segmentation - Investigate multi-modal representations for semantic based scene fusion - Familiarize yourself with the current state of the art
- Have fun playing with robots
- Be curious about pushing the limits of today's robotics
- Strong self-motivation and critical mind
- Good understanding of algorithmic challenges knowledge of C++, ROS, Linux is highly recommended
- Knowledge in SLAM, deep/machine learning and computer vision is a plus but not required
- Have fun playing with robots - Be curious about pushing the limits of today's robotics - Strong self-motivation and critical mind - Good understanding of algorithmic challenges knowledge of C++, ROS, Linux is highly recommended - Knowledge in SLAM, deep/machine learning and computer vision is a plus but not required
If you are interested, please send your transcripts and CV to Abel Gawel (gawela@ethz.ch) and Anurag Sai Vempati (avempati@ethz.ch).
If you are interested, please send your transcripts and CV to Abel Gawel (gawela@ethz.ch) and Anurag Sai Vempati (avempati@ethz.ch).