Daniel Casado Herraez

16 papers A* 3Journal 11Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Dynamic-ICP: Doppler-Aware Iterative Closest Point Registration for Dynamic Scenes. IEEE Robotics Autom. Lett. Dong Wang, Daniel Casado Herraez, Stefan May, Andreas Nüchter
2026	J	`jnl`	Multi-Session Mapping and Long-Term Localization for Autonomous Vehicles Using Radar. IEEE Robotics Autom. Lett. Daniel Casado Herraez, Matthias Zeller, Dong Wang, Jens Behley, Michael Heidingsfeld, Cyrill Stachniss
2025	J	`jnl`	Doppler-SLAM: Doppler-Aided Radar-Inertial and LiDAR-Inertial Simultaneous Localization and Mapping. CoRR Dong Wang, Hannes Haag, Daniel Casado Herraez, Stefan May, Cyrill Stachniss, Andreas Nüchter
2025	J	`jnl`	Doppler-SLAM: Doppler-Aided Radar-Inertial and LiDAR-Inertial Simultaneous Localization and Mapping. IEEE Robotics Autom. Lett. Dong Wang, Hannes Haag, Daniel Casado Herraez, Stefan May, Cyrill Stachniss, Andreas Nüchter
2025	J	`jnl`	Dynamic-ICP: Doppler-Aware Iterative Closest Point Registration for Dynamic Scenes. CoRR Dong Wang, Daniel Casado Herraez, Stefan May, Andreas Nüchter
2025	A*	`conf`	Ground-Aware Automotive Radar Odometry. ICRA Daniel Casado Herraez, Franz Kaschner, Matthias Zeller, Dominik Muhle, Jens Behley, Michael Heidingsfeld, Daniel Cremers, Cyrill Stachniss
2025	J	`jnl`	RaI-SLAM: Radar-Inertial SLAM for Autonomous Vehicles. IEEE Robotics Autom. Lett. Daniel Casado Herraez, Matthias Zeller, Dong Wang, Jens Behley, Michael Heidingsfeld, Cyrill Stachniss
2025	J	`jnl`	Radar Tracker: Moving Instance Tracking in Sparse and Noisy Radar Point Clouds. CoRR Matthias Zeller, Daniel Casado Herraez, Jens Behley, Michael Heidingsfeld, Cyrill Stachniss
2025	—	`conf`	Self-Supervised Moving Object Segmentation of Sparse and Noisy Radar Point Clouds. ITSC Leon Schwarzer, Matthias Zeller, Daniel Casado Herraez, Simon Dierl, Michael Heidingsfeld, Cyrill Stachniss
2025	J	`jnl`	Self-Supervised Moving Object Segmentation of Sparse and Noisy Radar Point Clouds. CoRR Leon Schwarzer, Matthias Zeller, Daniel Casado Herraez, Simon Dierl, Michael Heidingsfeld, Cyrill Stachniss
2025	J	`jnl`	SemRaFiner: Panoptic Segmentation in Sparse and Noisy Radar Point Clouds. CoRR Matthias Zeller, Daniel Casado Herraez, Bengisu Ayan, Jens Behley, Michael Heidingsfeld, Cyrill Stachniss
2025	J	`jnl`	SemRaFiner: Panoptic Segmentation in Sparse and Noisy Radar Point Clouds. IEEE Robotics Autom. Lett. Matthias Zeller, Daniel Casado Herraez, Bengisu Ayan, Jens Behley, Michael Heidingsfeld, Cyrill Stachniss
2024	—	`conf`	Onboard Semantic Mapping for Action Graph Estimation. RoMoCo Daniel Casado Herraez, Yosuke Kawasaki, Masaki Takahashi
2024	A*	`conf`	Radar Tracker: Moving Instance Tracking in Sparse and Noisy Radar Point Clouds. ICRA Matthias Zeller, Daniel Casado Herraez, Jens Behley, Michael Heidingsfeld, Cyrill Stachniss
2024	A*	`conf`	Radar-Only Odometry and Mapping for Autonomous Vehicles. ICRA Daniel Casado Herraez, Matthias Zeller, Le Chang, Ignacio Vizzo, Michael Heidingsfeld, Cyrill Stachniss
2024	J	`jnl`	SPR: Single-Scan Radar Place Recognition. IEEE Robotics Autom. Lett. Daniel Casado Herraez, Le Chang, Matthias Zeller, Louis Wiesmann, Jens Behley, Michael Heidingsfeld, Cyrill Stachniss

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.