23 citations · 40 across the 6 of their papers we have counts for
6 papers
Information Gain Is Not All You Need
Ludvig Ericson, José Pedro, Patric Jensfelt
Autonomous exploration in mobile robotics often involves a trade-off between two objectives: maximizing environmental coverage and minimizing the total path length. In the widely u…
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…
Beyond the Frontier: Predicting Unseen Walls from Occupancy Grids by Learning from Floor Plans
Ludvig Ericson, Patric Jensfelt
In this paper, we tackle the challenge of predicting the unseen walls of a partially observed environment as a set of 2D line segments, conditioned on occupancy grids integrated al…
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…
GCNv2: Efficient Correspondence Prediction for Real-Time SLAM
Jiexiong Tang, Ludvig Ericson, John Folkesson +1
In this paper, we present a deep learning-based network, GCNv2, for generation of keypoints and descriptors. GCNv2 is built on our previous method, GCN, a network trained for 3D pr…
On the Performance of Network Parallel Training in Artificial Neural Networks
Ludvig Ericson, Rendani Mbuvha
Artificial Neural Networks (ANNs) have received increasing attention in recent years with applications that span a wide range of disciplines including vital domains such as medicin…