activity
20162026
most citedThe STRANDS Project: Long-Term Autonomy in Everyday Environments

197 citations · 292 across the 54 of their papers we have counts for

collaborators
Showing 2022Show all

6 papers · 1 filter

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.RO2022★ 6 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

SDFEst: Categorical Pose and Shape Estimation of Objects from RGB-D using Signed Distance Fields

Leonard Bruns, Patric Jensfelt

Rich geometric understanding of the world is an important component of many robotic applications such as planning and manipulation. In this paper, we present a modular pipeline for…

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…

cs.RO2022

FloorGenT: Generative Vector Graphic Model of Floor Plans for Robotics

Ludvig Ericson, Patric Jensfelt

Floor plans are the basis of reasoning in and communicating about indoor environments. In this paper, we show that by modelling floor plans as sequences of line segments seen from…

cs.CV2022

On the Evaluation of RGB-D-based Categorical Pose and Shape Estimation

Leonard Bruns, Patric Jensfelt

Recently, various methods for 6D pose and shape estimation of objects have been proposed. Typically, these methods evaluate their pose estimation in terms of average precision, and…