Drone model classification using convolutional neural network trained on synthetic data
We present a convolutional neural network (CNN) that identifies drone models in real-life
videos. The neural network is trained on synthetic images and tested on a real-life dataset of …
videos. The neural network is trained on synthetic images and tested on a real-life dataset of …
Fundamental limits to depth imaging with single-photon detector array sensors
Abstract Single-Photon Avalanche Detector (SPAD) arrays are a rapidly emerging
technology. These multi-pixel sensors have single-photon sensitivities and pico-second …
technology. These multi-pixel sensors have single-photon sensitivities and pico-second …
Securing your airspace: Detection of drones trespassing protected areas
Unmanned Aerial Vehicle (UAV) deployment has risen rapidly in recent years. They are now
used in a wide range of applications, from critical safety-of-life scenarios like nuclear power …
used in a wide range of applications, from critical safety-of-life scenarios like nuclear power …
Image-free target identification using a single-point single-photon LiDAR
Single-photon light detection and ranging (LiDAR)—offering single-photon sensitivity and
picosecond temporal resolution—has become one of the most promising technologies for …
picosecond temporal resolution—has become one of the most promising technologies for …
Deep Learning-based drone acoustic event detection system for microphone arrays
Y Sun, J Li, L Wang, J Xv, Y Liu - Multimedia Tools and Applications, 2024 - Springer
In recent years, drones have brought about numerous conveniences in our work and daily
lives due to their advantages of low cost and ease of use. However, they have also …
lives due to their advantages of low cost and ease of use. However, they have also …
Deep learning diagnostics of gray leaf spot in maize under mixed disease field conditions
Maize yields worldwide are limited by foliar diseases that could be fungal, oomycete,
bacterial, or viral in origin. Correct disease identification is critical for farmers to apply the …
bacterial, or viral in origin. Correct disease identification is critical for farmers to apply the …
Video super-resolution for single-photon LIDAR
3D time-of-flight (ToF) image sensors are used widely in applications such as self-driving
cars, augmented reality (AR), and robotics. When implemented with single-photon …
cars, augmented reality (AR), and robotics. When implemented with single-photon …
Robust framework for modelling long range dToF SPAD Lidar performance
S Scholes, E Wade, A McCarthy, J Garcia-Armenta… - Optics …, 2024 - opg.optica.org
Time-of-flight Lidars based on single-photon avalanche diode (SPAD) detector arrays are
emerging as a strong candidate technology for long range three-dimensional imaging in …
emerging as a strong candidate technology for long range three-dimensional imaging in …
Bayesian neuromorphic imaging for single-photon LiDAR
This paper proposes a Bayesian approach to enable single photon avalanche diode (SPAD)
arrays to be used as pseudo event cameras that report changes in the scene. Motivated by …
arrays to be used as pseudo event cameras that report changes in the scene. Motivated by …
Towards Fully Autonomous Drone Tracking by a Reinforcement Learning Agent Controlling a Pan–Tilt–Zoom Camera
Pan–tilt–zoom cameras are commonly used for surveillance applications. Their automation
could reduce the workload of human operators and increase the safety of airports by …
could reduce the workload of human operators and increase the safety of airports by …