Abstract Design of hardware accelerators for neural network (NN) applications involves
walking a tight rope amidst the constraints of low-power, high accuracy and throughput …

You are holding in your hands… oh, come on, who holds books like this in their hands
anymore? Anyway, you are reading this, and it means that I have managed to release one of …

Neuromorphic vision sensors or event cameras have made the visual perception of
extremely low reaction time possible, opening new avenues for high-dynamic robotics …

The existing unmanned aerial vehicle (UAV)-based electric transmission line inspection
systems generally adopt manual control and follow the predefined path, which reduces the …

Trellised fruiting-wall training systems are becoming standard for modern apple orchards
due to their high fruit yield and quality, and their suitability to robotic operations in pruning …

Accurate detection and segmentation of transmission towers (TTs) and power lines (PLs)
from aerial images plays a key role in protecting power-grid security and low-altitude UAV …

Transmission line (TL) inspection is important for ensuring a stable supply of electricity to
rural areas. Currently, there are several TL detection approaches based on computer vision; …

Power line detection plays an important role in an automated UAV-based electricity
inspection system, which is crucial for real-time motion planning and navigation along power …

In unmanned aerial vehicle (UAV) flights, power lines are considered as one of the most
threatening hazards and one of the most difficult obstacles to avoid. In recent years, many …

Human detection in images using deep learning has been a popular research topic in recent
years and has achieved remarkable performance. Training a human detection network is …