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Alexandre Haag

2 accepted papers

2020

Domain Transfer for Semantic Segmentation of LiDAR Data using Deep Neural Networks

IROS 2020poster

Inferring semantic information towards an understanding of the surrounding environment is crucial for autonomous vehicles to drive safely. Deep learning-based segmentation methods can infer semantic information directly from laser range data, even in the absence of other sensor modalities such as ca…

Cited by 71SourceScholar
2020

OverlapNet: Loop Closing for LiDAR-based SLAM

RSS 2020poster

Simultaneous localization and mapping (SLAM) is a fundamental capability required by most autonomous systems. In this paper, we address the problem of loop closing for SLAM based on 3D laser scans recorded by autonomous cars. Our approach utilizes a deep neural network exploiting different cues gene…