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- Center for Integrated Quantum Science and TechnologyDE58 papers
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Showing 2019 · cs.ROShow all
2 papers · 2 filters
cs.RO2019
DeepLocalization: Landmark-based Self-Localization with Deep Neural Networks
Nico Engel, Stefan Hoermann, Markus Horn +2
We address the problem of vehicle self-localization from multi-modal sensor information and a reference map. The map is generated off-line by extracting landmarks from the vehicle'…
cs.RO2019★ 7 cited
Deep Active Learning for Efficient Training of a LiDAR 3D Object Detector
Di Feng, Xiao Wei, Lars Rosenbaum +2
Training a deep object detector for autonomous driving requires a huge amount of labeled data. While recording data via on-board sensors such as camera or LiDAR is relatively easy,…