output
20182026
most citedThe Hilti SLAM Challenge Dataset

117 citations

13 papers

cs.RO2026

Tripody: An Overconstrained 3-SPR-like Parallel Robot for High-Reach Construction Tasks

Julien Kindle, Jakub Raczy, Riccardo Balbi +3

Many ceiling construction tasks still rely on heavy serial manipulators that are difficult to deploy in cluttered interiors, motivating lightweight, field-ready alternatives that r…

q-bio.QM2026

On the Promises and Limits of Multi-omics Integration for Deconvolution: The HADACA3 Benchmark

Hugo Barbot, Elise Amblard, Nicolas Homberg +14

Understanding the cellular composition of complex tissues, such as tumors, is a key challenge in biology and medicine. A common approach, known as deconvolution, aims to estimate t…

stat.AP2026

Inferring cellular heterogeneity with mixture models for DNA methylation rates

Hugo Barbot, Yuna Blum, Magali Richard +1

Cellular heterogeneity is a hallmark of biological tissues and plays a central role in disease progression, diagnosis, and prognosis. Yet, accurately characterizing this heterogene…

cs.RO2025★ 4 cited

Enhancing Robotic Precision in Construction: A Modular Factor Graph-Based Framework to Deflection and Backlash Compensation Using High-Accuracy Accelerometers

Julien Kindle, Michael Loetscher, Andrea Alessandretti +2

Accurate positioning is crucial in the construction industry, where labor shortages highlight the need for automation. Robotic systems with long kinematic chains are required to re…

eess.SP2024★ 2 cited

A Proximity-Based Approach for Dynamically Matching Industrial Assets and Their Operators Using Low-Power IoT Devices

Silvano Cortesi, Michele Crabolu, Prodromos-Vasileios Mekikis +3

Asset tracking solutions have proven their significance in industrial contexts, as evidenced by their successful commercialization (e.g., Hilti On!Track). However, a seamless solut…

cs.RO2024★ 17 cited

Hilti SLAM Challenge 2023: Benchmarking Single + Multi-session SLAM across Sensor Constellations in Construction

Ashish Devadas Nair, Julien Kindle, Plamen Levchev +1

Simultaneous Localization and Mapping systems are a key enabler for positioning in both handheld and robotic applications. The Hilti SLAM Challenges organized over the past years h…

eess.SY2023★ 17 cited

Energy-Aware Adaptive Sampling for Self-Sustainability in Resource-Constrained IoT Devices

Marco Giordano, Silvano Cortesi, Prodromos-Vasileios Mekikis +3

In the ever-growing Internet of Things (IoT) landscape, smart power management algorithms combined with energy harvesting solutions are crucial to obtain self-sustainability. This…

cs.CR2022★ 29 cited

Mitigating Adversarial Gray-Box Attacks Against Phishing Detectors

Giovanni Apruzzese, V. S. Subrahmanian

Although machine learning based algorithms have been extensively used for detecting phishing websites, there has been relatively little work on how adversaries may attack such "phi…

cs.CR2022★ 6 cited

Attribute Inference Attacks in Online Multiplayer Video Games: a Case Study on Dota2

Pier Paolo Tricomi, Lisa Facciolo, Giovanni Apruzzese +1

Did you know that over 70 million of Dota2 players have their in-game data freely accessible? What if such data is used in malicious ways? This paper is the first to investigate su…

cs.RO2022★ 88 cited

Hilti-Oxford Dataset: A Millimetre-Accurate Benchmark for Simultaneous Localization and Mapping

Lintong Zhang, Michael Helmberger, Lanke Frank Tarimo Fu +4

Simultaneous Localization and Mapping (SLAM) is being deployed in real-world applications, however many state-of-the-art solutions still struggle in many common scenarios. A key ne…

cs.CR2022★ 20 cited

Wild Networks: Exposure of 5G Network Infrastructures to Adversarial Examples

Giovanni Apruzzese, Rodion Vladimirov, Aliya Tastemirova +1

Fifth Generation (5G) networks must support billions of heterogeneous devices while guaranteeing optimal Quality of Service (QoS). Such requirements are impossible to meet with hum…

cs.RO2021★ 117 cited

The Hilti SLAM Challenge Dataset

Michael Helmberger, Kristian Morin, Beda Berner +3

Research in Simultaneous Localization and Mapping (SLAM) has made outstanding progress over the past years. SLAM systems are nowadays transitioning from academic to real world appl…

math.NA2018★ 49 cited

Robust and parallel scalable iterative solutions for large-scale finite cell analyses

John N. Jomo, Frits de Prenter, Mohamed Elhaddad +7

The finite cell method is a highly flexible discretization technique for numerical analysis on domains with complex geometries. By using a non-boundary conforming computational dom…