GazeDrone: Mobile Eye-Based Interaction in Public Space Without Augmenting the User [PDF]
, 2018 Gaze interaction holds a lot of promise for seamless human-computer interaction. At the same time, current wearable mobile eye trackers require user augmentation that negatively impacts natural user behavior while remote trackers require users to ...
Amos B. +7 more
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Signal Expansion Method in Indoor FMCW Radar Systems for Improving Range Resolution
Sensors, 2021 As various unmanned autonomous driving technologies such as autonomous vehicles and autonomous driving drones are being developed, research on FMCW radar, a sensor related to these technologies, is actively being conducted. The range resolution, which is
Seongmin Baek, Yunho Jung, Seongjoo Lee
doaj +1 more source
Intelligent Video Data Security: A Survey and Open Challenges
IEEE Access, 2021 A range of video contents and technology have provided convenience to humans, with real-time video applications-such as surveillance applications-able to contribute to increasing public safety by reducing physical crimes.
Jin-Yong Yu, Yujun Kim, Young-Gab Kim
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IEEE AccessThe increasing demand for wind power requires more frequent inspections to identify defects in the Wind Turbine Blades (WTBs). These defects, if not detected, can compromise the structural integrity and safety of wind turbines.
Majid Memari +4 more
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Expanding Electric and Vehicle-Based Solar Transit Options with Breakthrough Vehicular Efficiencies
World Electric Vehicle JournalTraditional approaches to overcoming energy loss from resistances of vehicular transit velocities have focused primarily on reducing aerodynamic drag through streamlining air flow.
Adam B. Suppes, Galen Suppes
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The Central Intelligence Agency’s armed Remotely Piloted Vehicle-supported counter-insurgency campaign in Pakistan – a mission undermined by unintended consequences? [PDF]
, 2014 This paper views America's 'drones-first' counter-insurgency effort in Pakistan through the lens of Merton's theory of the unintended consequences of purposive action.
Bennett, Simon
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Calling time on the imperial lawn and the imperative for greenhouse gas mitigation
Global Sustainability, 2023 Non-technical summary As green spaces, lawns are often thought to capture carbon from the atmosphere. However, once mowing, fertlising and irrigation are taken into account, we show that they become carbon sources, at least in the long run.
Len N. Gillman +2 more
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A Deep Learning Approach to Drone Monitoring
, 2017 A drone monitoring system that integrates deep-learning-based detection and tracking modules is proposed in this work. The biggest challenge in adopting deep learning methods for drone detection is the limited amount of training drone images.
Aggarwal, Pranav +3 more
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Vision-Based Relative Pose Estimation of Non-Cooperative Spacecraft Using Time-of-Flight Camera
IEEE AccessThis paper deals with a vision-based pose estimation of a target using a time-of-flight (ToF) camera. In particular, a relative pose estimation algorithm for non-cooperative targets that lack markers or accessible sensor is proposed. The proposed method,
Sangdo Park +3 more
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Using Deep Networks for Drone Detection
, 2017 Drone detection is the problem of finding the smallest rectangle that encloses the drone(s) in a video sequence. In this study, we propose a solution using an end-to-end object detection model based on convolutional neural networks.
Aker, Cemal, Kalkan, Sinan
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