Key papers in Aerospace Engineering

Pofolia’s corpus holds 78 papers from the Aerospace Engineering subfield (2012–2026). The list below starts with the most cited.

Most cited

Ranked by citation count. Because citations accumulate over time, this list naturally leans towards work published a few years ago; for where the field is now, see “recently added”.

  • Are we ready for autonomous driving? The KITTI vision benchmark suite

    2012 · 14,478 citations

    A new benchmark suite, KITTI, has been developed for autonomous driving scenarios, featuring challenging real-world data for stereo, optical flow, visual odometry, and 3D object detection tasks.

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  • Vision meets robotics: The KITTI dataset

    The International Journal of Robotics Research · 2013 · Q1 · SJR 2.00 · FWCI 3566.48 · 9,788 citations

    A new dataset, KITTI, is released for mobile robotics and autonomous driving research, featuring 6 hours of diverse traffic scenarios captured with multiple high-resolution sensors.

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  • ORB-SLAM: A Versatile and Accurate Monocular SLAM System

    IEEE Transactions on Robotics · 2015 · Q1 · SJR 3.00 · FWCI 7602.61 · 6,506 citations

    ORB-SLAM is a novel, feature-based monocular SLAM system that operates in real-time across diverse environments and is robust to motion clutter.

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  • ORB-SLAM2: An Open-Source SLAM System for Monocular, Stereo, and RGB-D Cameras

    IEEE Transactions on Robotics · 2017 · Q1 · SJR 3.00 · FWCI 5561.77 · 6,045 citations

    ORB-SLAM2 is a new, open-source Simultaneous Localization and Mapping (SLAM) system that works in real-time on standard CPUs for monocular, stereo, and RGB-D cameras.

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  • Applied Optimal Control

    2018 · FWCI 1057.57 · 6,009 citations

    This abstract describes a best-selling textbook on the analysis and design of complex dynamic systems, praised for its clarity and usefulness.

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  • Structure-from-Motion Revisited

    2016 · 5,887 citations

    A novel Structure-from-Motion (SfM) technique is introduced to significantly improve robustness, accuracy, completeness, and scalability in 3D reconstruction from image collections.

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  • VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimator

    IEEE Transactions on Robotics · 2018 · Q1 · SJR 3.00 · FWCI 2832.86 · 4,463 citations · Open access

    VINS-Mono is a new monocular visual-inertial state estimator that achieves high accuracy by tightly coupling IMU measurements with feature observations using nonlinear optimization. It also incorporates loop detection and pose graph optimization for global consistency and map reuse.

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  • Wireless communications with unmanned aerial vehicles: opportunities and challenges

    IEEE Communications Magazine · 2016 · Q1 · SJR 2.00 · FWCI 7652.62 · 4,065 citations

    Unmanned aerial vehicles (UAVs) offer a promising solution for cost-effective wireless connectivity in areas lacking infrastructure, enabling faster deployment and more flexible reconfiguration than terrestrial systems.

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  • A benchmark for the evaluation of RGB-D SLAM systems

    2012 · 3,948 citations

    A new benchmark dataset and evaluation tools are introduced for RGB-D SLAM systems, featuring high-accuracy ground truth from a motion capture system and diverse sequences recorded in office and industrial environments.

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  • ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual–Inertial, and Multimap SLAM

    IEEE Transactions on Robotics · 2021 · Q1 · SJR 3.00 · FWCI 2490.50 · 3,886 citations · Open access

    ORB-SLAM3 is the first open-source library to achieve accurate simultaneous localization and mapping (SLAM) using visual, visual-inertial, and multimap approaches with various camera types and lens models.

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  • ORB-SLAM: A Versatile and Accurate Monocular SLAM System

    Zaguan (University of Zaragoza Repository) · 2015 · FWCI 8576.91 · 3,383 citations

    ORB-SLAM is a novel, real-time monocular SLAM system that uses the same features for all tasks, achieving unprecedented performance in diverse environments.

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  • Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception Age

    IEEE Transactions on Robotics · 2016 · Q1 · SJR 3.00 · FWCI 3738.39 · 3,317 citations

    This paper reviews the 30-year progress of Simultaneous Localization and Mapping (SLAM), highlighting its transition to industry and outlining future research challenges.

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  • Past, present, and future of simultaneous localization and mapping: Toward the robust-perception age

    Zurich Open Repository and Archive (University of Zurich) · 2016 · FWCI 4702.29 · 3,158 citations

    This review surveys the significant progress in Simultaneous Localization and Mapping (SLAM) over 30 years, highlighting its transition from research to industry and its role in enabling large-scale real-world applications.

  • Optimal LAP Altitude for Maximum Coverage

    IEEE Wireless Communications Letters · 2014 · Q1 · SJR 1.00 · FWCI 940.09 · 3,150 citations

    This paper analytically determines the optimal altitude for low-altitude aerial platforms (LAPs) to maximize ground radio coverage, finding it depends on pathloss limits and urban environment statistics.

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  • LOAM: Lidar Odometry and Mapping in Real-time

    2014 · 3,117 citations

    A new real-time method, LOAM, enables simultaneous localization and mapping (SLAM) using 2-axis lidar range measurements, achieving accuracy comparable to offline methods without high-precision sensors or inertial measurements.

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  • Direct Sparse Odometry

    IEEE Transactions on Pattern Analysis and Machine Intelligence · 2017 · Q1 · SJR 4.00 · FWCI 3792.27 · 2,928 citations

    Direct Sparse Odometry (DSO) introduces a novel formulation for visual odometry that jointly optimizes camera motion and 3D structure using a direct, sparse, and probabilistic model, achieving real-time performance.

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  • A tutorial on UAVs for wireless networks:applications, challenges, and open problems

    University of Oulu Repository (University of Oulu) · 2019 · FWCI 2963.43 · 2,850 citations

    This tutorial provides a comprehensive overview of Unmanned Aerial Vehicles (UAVs) in wireless networks, detailing their applications, significant challenges, and future research directions.

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  • A tutorial on synthetic aperture radar

    IEEE Geoscience and Remote Sensing Magazine · 2013 · Q1 · SJR 4.00 · FWCI 1339.27 · 2,696 citations

    This paper provides a tutorial on Synthetic Aperture Radar (SAR) principles and theory, covering established and emerging techniques, and innovative technologies.

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  • Landsat-8: Science and product vision for terrestrial global change research

    Remote Sensing of Environment · 2014 · Q1 · SJR 4.00 · FWCI 3847.28 · 2,591 citations

    Landsat 8 enhances Earth observation with new spectral bands and improved sensor performance, extending a 40-year data record for global change research.

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  • Microsoft Kinect Sensor and Its Effect

    IEEE Multimedia · 2012 · Q1 · FWCI 3695.11 · 2,489 citations

    The Microsoft Kinect sensor, beyond gaming, offers direct 3D depth sensing and user understanding (voice, identity, movement) for multimedia computing.

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Recently added

  • International Journal of Smart Grid and Clean Energy

    International Journal of Smart Grid and Clean Energy · 2026 · 56 citations

    Airborne Wind Energy (AWE) systems using a pumping cycle kite power system can generate over 3.4 MWh/m2 annually in Scotland.

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  • Aircraft Design: A Conceptual Approach

    2024 · 2,289 citations

    This paper outlines a systematic, step-by-step methodology for conceptual aircraft design, covering everything from initial sizing and configuration layout to detailed subsystem integration and performance analysis.

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  • FAST-LIO2: Fast Direct LiDAR-Inertial Odometry

    IEEE Transactions on Robotics · 2022 · Q1 · SJR 3.00 · FWCI 712.99 · 1,495 citations

    FAST-LIO2 achieves higher accuracy and lower computation load than state-of-the-art LiDAR-inertial systems by directly registering raw LiDAR points to the map and using an incremental k-d tree (ikd-Tree) for efficient map maintenance.

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  • ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual–Inertial, and Multimap SLAM

    IEEE Transactions on Robotics · 2021 · Q1 · SJR 3.00 · FWCI 2490.50 · 3,886 citations · Open access

    ORB-SLAM3 is the first open-source library to achieve accurate simultaneous localization and mapping (SLAM) using visual, visual-inertial, and multimap approaches with various camera types and lens models.

    Go to source

  • Journal of the Aeronautical Sciences

    Journal of the aeronautical sciences. [REQUEST TITLE] · 2021 · 2,147 citations

    The Journal of the Aeronautical Sciences, published by the Institute of the Aeronautical Sciences from 1934–1957, is now available digitally.

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