output
20172020
most citedReinforced Imitation: Sample Efficient Deep Reinforcement Learning for Map-less Navigation by Leveraging Prior Demonstrations

16 citations

researchers with a paper here
collaborating institutions

3 papers

cs.CV2020

Self-Supervised 2D Image to 3D Shape Translation with Disentangled Representations

Berk Kaya, Radu Timofte

We present a framework to translate between 2D image views and 3D object shapes. Recent progress in deep learning enabled us to learn structure-aware representations from a scene.…

cs.RO2018★ 16 cited

Reinforced Imitation: Sample Efficient Deep Reinforcement Learning for Map-less Navigation by Leveraging Prior Demonstrations

Mark Pfeiffer, Samarth Shukla, Matteo Turchetta +4

This work presents a case study of a learning-based approach for target driven map-less navigation. The underlying navigation model is an end-to-end neural network which is trained…

cs.CV2017

Global-Local Airborne Mapping (GLAM): Reconstructing a City from Aerial Videos

Hasnain Vohra, Maxim Bazik, Matthew Antone +2

Monocular visual SLAM has become an attractive practical approach for robot localization and 3D environment mapping, since cameras are small, lightweight, inexpensive, and produce…