Machine learning-aided operations and communications of unmanned aerial vehicles: A contemporary survey

H Kurunathan, H Huang, K Li, W Ni… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
Over the past decade, Unmanned Aerial Vehicles (UAVs) have provided pervasive, efficient,
and cost-effective solutions for data collection and communications. Their excellent mobility …

Inspiration from Visual Ecology for Advancing Multifunctional Robotic Vision Systems: Bio‐inspired Electronic Eyes and Neuromorphic Image Sensors

C Choi, GJ Lee, S Chang, YM Song… - Advanced …, 2024 - Wiley Online Library
In robotics, particularly for autonomous navigation and human–robot collaboration, the
significance of unconventional imaging techniques and efficient data processing capabilities …

Motion-prior contrast maximization for dense continuous-time motion estimation

F Hamann, Z Wang, I Asmanis, K Chaney… - … on Computer Vision, 2024 - Springer
Current optical flow and point-tracking methods rely heavily on synthetic datasets. Event
cameras are novel vision sensors with advantages in challenging visual conditions, but state …

Monocular event-based vision for obstacle avoidance with a quadrotor

A Bhattacharya, M Cannici, N Rao, Y Tao… - arxiv preprint arxiv …, 2024 - arxiv.org
We present the first static-obstacle avoidance method for quadrotors using just an onboard,
monocular event camera. Quadrotors are capable of fast and agile flight in cluttered …

Event-driven nearshore and shoreline coastline detection on SpiNNaker neuromorphic hardware

M Fatahi, P Boulet, G D'angelo - Neuromorphic Computing and …, 2024 - iopscience.iop.org
Coastline detection is vital for coastal management, involving frequent observation and
assessment to understand coastal dynamics and inform decisions on environmental …

Low-power event-based face detection with asynchronous neuromorphic hardware

C Caccavella, F Paredes-Vallés… - … Joint Conference on …, 2024 - ieeexplore.ieee.org
The rise of mobility, IoT and wearables has shifted processing to the edge of the sensors,
driven by the need to reduce latency, communication costs and overall energy consumption …