activity
20172022
most citedGCNv2: Efficient Correspondence Prediction for Real-Time SLAM

23 citations · 47 across the 10 of their papers we have counts for

collaborators

21 papers

cs.CV2024

Conditional Variational Autoencoders for Probabilistic Pose Regression

Fereidoon Zangeneh, Leonard Bruns, Amit Dekel +2

Robots rely on visual relocalization to estimate their pose from camera images when they lose track. One of the challenges in visual relocalization is repetitive structures in the…

cs.RO2024

Fusion in Context: A Multimodal Approach to Affective State Recognition

Youssef Mohamed, Severin Lemaignan, Arzu Guneysu +2

Accurate recognition of human emotions is a crucial challenge in affective computing and human-robot interaction (HRI). Emotional states play a vital role in shaping behaviors, dec…

cs.CV2024

ExelMap: Explainable Element-based HD-Map Change Detection and Update

Lena Wild, Ludvig Ericson, Rafael Valencia +1

Acquisition and maintenance are central problems in deploying high-definition (HD) maps for autonomous driving, with two lines of research prevalent in current literature: Online H…

cs.RO2022

SLICT: Multi-input Multi-scale Surfel-Based Lidar-Inertial Continuous-Time Odometry and Mapping

Thien-Minh Nguyen, Daniel Duberg, Patric Jensfelt +2

While feature association to a global map has significant benefits, to keep the computations from growing exponentially, most lidar-based odometry and mapping methods opt to associ…

cs.RO20226 cited

Semantic 3D Grid Maps for Autonomous Driving

Ajinkya Khoche, Maciej K Wozniak, Daniel Duberg +1

Maps play a key role in rapidly developing area of autonomous driving. We survey the literature for different map representations and find that while the world is three-dimensional…

cs.CV2022

SDF-based RGB-D Camera Tracking in Neural Scene Representations

Leonard Bruns, Fereidoon Zangeneh, Patric Jensfelt

We consider the problem of tracking the 6D pose of a moving RGB-D camera in a neural scene representation. Different such representations have recently emerged, and we investigate…