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Machine learning-aided operations and communications of unmanned aerial vehicles: A contemporary survey
Over the past decade, Unmanned Aerial Vehicles (UAVs) have provided pervasive, efficient,
and cost-effective solutions for data collection and communications. Their excellent mobility …
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
In robotics, particularly for autonomous navigation and human–robot collaboration, the
significance of unconventional imaging techniques and efficient data processing capabilities …
significance of unconventional imaging techniques and efficient data processing capabilities …
Motion-prior contrast maximization for dense continuous-time motion estimation
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 …
cameras are novel vision sensors with advantages in challenging visual conditions, but state …
Monocular event-based vision for obstacle avoidance with a quadrotor
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 …
monocular event camera. Quadrotors are capable of fast and agile flight in cluttered …
Event-driven nearshore and shoreline coastline detection on SpiNNaker neuromorphic hardware
Coastline detection is vital for coastal management, involving frequent observation and
assessment to understand coastal dynamics and inform decisions on environmental …
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 …
driven by the need to reduce latency, communication costs and overall energy consumption …