Search Results for author: Ludvig Ericson

Found 5 papers, 1 papers with code

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

no code implementations16 Sep 2024 Lena Wild, Ludvig Ericson, Rafael Valencia, Patric Jensfelt

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 HD map generation and HD map change detection.

Autonomous Driving Change Detection

Beyond the Frontier: Predicting Unseen Walls from Occupancy Grids by Learning from Floor Plans

no code implementations13 Jun 2024 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 along the trajectory of a 360{\deg} LIDAR sensor.

FloorGenT: Generative Vector Graphic Model of Floor Plans for Robotics

no code implementations7 Mar 2022 Ludvig Ericson, Patric Jensfelt

Floor plans are the basis of reasoning in and communicating about indoor environments.

GCNv2: Efficient Correspondence Prediction for Real-Time SLAM

3 code implementations28 Feb 2019 Jiexiong Tang, Ludvig Ericson, John Folkesson, Patric Jensfelt

In this paper, we present a deep learning-based network, GCNv2, for generation of keypoints and descriptors.

Computational Efficiency

On the Performance of Network Parallel Training in Artificial Neural Networks

no code implementations18 Jan 2017 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 medicine, network security and autonomous transportation.

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