output
20182026
most citedReinforced Imitation: Sample Efficient Deep Reinforcement Learning for Map-less Navigation by Leveraging Prior Demonstrations

16 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

5 papers

cs.CV2026

Echoes of the Prior: A Computational Phenomenology of Forgetting

Gege Gao, Bernhard Schölkopf, Andreas Geiger

Memory is not merely the storage of data; it is the scaffolding of reality. When biological memory fades, the world does not simply turn black; it regresses into an unrecognizable…

cs.RO2022★ 4 cited

Resilient Terrain Navigation with a 5 DOF Metal Detector Drone

Patrick Pfreundschuh, Rik Bähnemann, Tim Kazik +3

Micro aerial vehicles (MAVs) hold the potential for performing autonomous and contactless land surveys for the detection of landmines and explosive remnants of war (ERW). Metal det…

cs.RO2018

LandmarkBoost: Efficient Visual Context Classifiers for Robust Localization

Marcin Dymczyk, Igor Gilitschenski, Juan Nieto +3

The growing popularity of autonomous systems creates a need for reliable and efficient metric pose retrieval algorithms. Currently used approaches tend to rely on nearest neighbor…

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.CV2018★ 11 cited

A Multi-Stage Multi-Task Neural Network for Aerial Scene Interpretation and Geolocalization

Alina Marcu, Dragos Costea, Emil Slusanschi +1

Semantic segmentation and vision-based geolocalization in aerial images are challenging tasks in computer vision. Due to the advent of deep convolutional nets and the availability…