Olaf Op den Camp

19 papers C 1Journal 16Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Comparing Normalizing Flows with Kernel Density Estimation in Estimating Risk of Automated Driving Systems. CoRR Erwin de Gelder, Maren Buermann, Olaf Op den Camp
2025	J	`jnl`	Operationalization of Scenario-Based Safety Assessment of Automated Driving Systems. CoRR Olaf Op den Camp, Erwin de Gelder
2024	J	`jnl`	Coverage Metrics for a Scenario Database for the Scenario-Based Assessment of Automated Driving Systems. CoRR Erwin de Gelder, Maren Buermann, Olaf Op den Camp
2024	J	`jnl`	Scenario-based assessment of automated driving systems: How (not) to parameterize scenarios? CoRR Erwin de Gelder, Olaf Op den Camp
2023	J	`jnl`	A Quantitative Method to Determine What Collisions Are Reasonably Foreseeable and Preventable. CoRR Erwin de Gelder, Olaf Op den Camp
2023	J	`jnl`	PRISMA: A Novel Approach for Deriving Probabilistic Surrogate Safety Measures for Risk Evaluation. CoRR Erwin de Gelder, Kingsley Adjenughwure, Jeroen Manders, Ron Snijders, Jan-Pieter Paardekooper, Olaf Op den Camp, Arturo Tejada, Bart De Schutter
2023	C	`conf`	When Is an Automated Driving System Safe Enough for Deployment on the Public Road? Quantifying Safety Risk Using Real-World Scenarios. VEHITS Olaf Op den Camp, Erwin de Gelder, Jeroen Broos
2022	J	`jnl`	Scenario Parameter Generation Method and Scenario Representativeness Metric for Scenario-Based Assessment of Automated Vehicles. CoRR Erwin de Gelder, Jasper Hof, Eric Cator, Jan-Pieter Paardekooper, Olaf Op den Camp, Jeroen Ploeg, Bart De Schutter
2022	J	`jnl`	Scenario Parameter Generation Method and Scenario Representativeness Metric for Scenario-Based Assessment of Automated Vehicles. IEEE Trans. Intell. Transp. Syst. Erwin de Gelder, Jasper Hof, Eric Cator, Jan-Pieter Paardekooper, Olaf Op den Camp, Jeroen Ploeg, Bart De Schutter
2022	J	`jnl`	Towards an Ontology for Scenario Definition for the Assessment of Automated Vehicles: An Object-Oriented Framework. IEEE Trans. Intell. Veh. Erwin de Gelder, Jan-Pieter Paardekooper, Arash Khabbaz Saberi, Hala Elrofai, Olaf Op den Camp, Steven B. Kraines, Jeroen Ploeg, Bart De Schutter
2021	—	`conf`	Constrained Sampling from a Kernel Density Estimator to Generate Scenarios for the Assessment of Automated Vehicles. IV Workshops Erwin de Gelder, Eric Cator, Jan-Pieter Paardekooper, Olaf Op den Camp, Bart De Schutter
2021	J	`jnl`	Constrained Sampling from a Kernel Density Estimator to Generate Scenarios for the Assessment of Automated Vehicles. CoRR Erwin de Gelder, Eric Cator, Jan-Pieter Paardekooper, Olaf Op den Camp, Bart De Schutter
2021	J	`jnl`	Risk Quantification for Automated Driving Systems in Real-World Driving Scenarios. IEEE Access Erwin de Gelder, Hala Elrofai, Arash Khabbaz Saberi, Jan-Pieter Paardekooper, Olaf Op den Camp, Bart De Schutter
2020	J	`jnl`	Concept framework for the safety assessment of platooning trucks enabled by V2V communication. CoRR Olaf Op den Camp, Jacco van de Sluis
2020	J	`jnl`	Ontology for Scenarios for the Assessment of Automated Vehicles. CoRR Erwin de Gelder, Jan-Pieter Paardekooper, Arash Khabbaz Saberi, Hala Elrofai, Olaf Op den Camp, Jeroen Ploeg, Ludwig Friedmann, Bart De Schutter
2020	J	`jnl`	Procedure for the Safety Assessment of an Autonomous Vehicle Using Real-World Scenarios. CoRR Erwin de Gelder, Olaf Op den Camp
2020	—	`conf`	Real-World Scenario Mining for the Assessment of Automated Vehicles. ITSC Erwin de Gelder, Jeroen Manders, Corrado Grappiolo, Jan-Pieter Paardekooper, Olaf Op den Camp, Bart De Schutter
2020	J	`jnl`	Real-World Scenario Mining for the Assessment of Automated Vehicles. CoRR Erwin de Gelder, Jeroen Manders, Corrado Grappiolo, Jan-Pieter Paardekooper, Olaf Op den Camp, Bart De Schutter
2020	J	`jnl`	Tagging Real-World Scenarios for the Assessment of Autonomous Vehicles. CoRR Erwin de Gelder, Olaf Op den Camp

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.