11 citations · 22 across the 12 of their papers we have counts for
12 papers
ToPos: Automated Optimal Positioning on Topographic Manifolds using Constrained Geodesic Voronoi Decomposition
Rajesh Raveendran, Akseli Vanhamaa, Jaakko Suutala +2
Reliable autonomous mapping, environmental sampling, last-mile logistics, and infrastructure deployment depend on the optimal surface area-balanced distribution of Spatial Referenc…
Systematic Alias Sampling: an efficient and low-variance way to sample from a discrete distribution
Ilari Vallivaara, Katja Poikselkä, Pauli Rikula +1
In this paper we combine the Alias method with the concept of systematic sampling, a method commonly used in particle filters for efficient low-variance resampling. The proposed me…
Trainable Pointwise Decoder Module for Point Cloud Segmentation
Bike Chen, Chen Gong, Antti Tikanmäki +1
Point cloud segmentation (PCS) aims to make per-point predictions and enables robots and autonomous driving cars to understand the environment. The range image is a dense represent…
UAV-based Intelligent Information Systems on Winter Road Safety for Autonomous Vehicles
Siva Ariram, Veikko Pekkala, Timo Mäenpää +2
As autonomous vehicles continue to revolutionize transportation, addressing challenges posed by adverse weather conditions, particularly during winter, becomes paramount for ensuri…
Filling Missing Values Matters for Range Image-Based Point Cloud Segmentation
Bike Chen, Chen Gong, Juha Röning
Point cloud segmentation (PCS) plays an essential role in robot perception and navigation tasks. To efficiently understand large-scale outdoor point clouds, their range image repre…
Feature Relevance Analysis to Explain Concept Drift -- A Case Study in Human Activity Recognition
Pekka Siirtola, Juha Röning
This article studies how to detect and explain concept drift. Human activity recognition is used as a case study together with a online batch learning situation where the quality o…