2023/07/06 by Manuel Gomes, Gomes, Manuel, Miguel Oliveira +3
Computer Science · Engineering · #Advanced Malware Detection Techniques #FOS: Computer and information sciences #Privacy-Preserving Technologies in Data #Robotics (cs.RO) #Vehicular Ad Hoc Networks (VANETs)
paper · pdf · doi:10.48550/arxiv.2307.03089
openalex publication_date 2023/07/06 · openalex created_date 2023/07/08 · openalex updated_date 2026/08/01
Despite the growing interest in innovative functionalities for collaborative robotics, volumetric detection remains indispensable for ensuring basic security. However, there is a lack of widely used volumetric detection frameworks specifically tailored to this domain, and existing evaluation metrics primarily focus on time and memory efficiency. To bridge this gap, the authors present a detailed comparison using a simulation environment, ground truth extraction, and automated evaluation metrics calculation. This enables the evaluation of state-of-the-art volumetric mapping algorithms, including OctoMap, SkiMap, and Voxblox, providing valuable insights and comparisons through the impact of qualitative and quantitative analyses. The study not only compares different frameworks but also explores various parameters within each framework, offering additional insights into their performance.