18 results with keyword: 'deep learning vision based aerial vehicle autonomous landing'
To overcome these limitations, we propose an end-to-end landmark detection system based on a deep convolutional neural network, which not only easily scales up to a larger number
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To overcome these limitations, we propose an end-to-end landmark detection system based on a deep convolutional neural network, which not only easily scales up to a larger number
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Proportion of invasive breast cancer attributable to risk factors modifiable after menopause.. Health outcomes after stopping conjugated equine Health outcomes after
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Keywords: unmanned aerial vehicles; computer vision; animal tracking; face detection; vision-based control; object following; autonomous navigation; autonomous landing;
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Treatment with the WHO-step III opioids morphine, oxy- codone, or oxycodone/naloxone under routine daily practice conditions significantly improved state of health and quality of
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The reinforcement learning algorithm ex- plored and extended in this study is Least-Squares Policy It- eration (LSPI) to gain a fast learning process and a smooth landing
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The improved algorithm is composed of three steps: first, detect the region of the target using the Camshift; second, detect the feature points in the region of the above
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instead found to have pivoted towards high energies, with a larger fraction of X‐ray
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[10] NavStik Autonomous Systems '' VISION BASED OBJECT DETECTION AND TRACKING USING MULTIROTOR UNMANNED AERIAL VEHICLE ''. SarthakKaingade, Vikrant More,
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CONCLUSIONS AND FUTURE WORK In this work is presented a Fuzzy control approach to manage the longitudinal and lateral speeds, and the al- titude of an unmanned aerial vehicle
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The distance above the water surface is measured using ultrasonic sensor and after a threshold level of distance, a control signal from Arduino will be sent to respective brushless
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Safety Pilot takes off and engages autopilot on the transmitter at the start of the FAR long leg with the aircraft straight and level at around 60 m altitude
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This paper discusses the possibility of designing a flight controller to aid in the management of the onboard flight operation of unmanned aerial vehicle (UAV)
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Index Terms: Deep learning, robotic vision, navigation, autonomous driving, deep reinforcement learning, algorithms for robotic perception, Semi-supervised and
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The integration of low-dimensional subspace representation method, online incremental learning approach and hierarchical tracking strategy allows the autolanding task to overcome
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I hereby solemnly declare that this dissertation titled “A study on Clinical and Radiological Features of Neurocutaneous Syndromes” was done by me in Institute of
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It features two embedded processors running at 1 kHz, denoted as the high-level processor (HLP) and the low-level processor (LLP), an IMU running at 100 Hz, a GPS receiver, and
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Poleg detekcije na osnovi oznak lahko uporabimo tudi alternativne metode detekcije, ki se ne zanaˇsajo na oznako, ampak uporabljajo informacije, ki so na voljo v sliki brez
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