3 accepted papers
In recent years, Compressed Sensing (CS) has gained significant attention as a method for acquiring high-resolution sensory data with fewer measurements than traditional Nyquist sampling. Simultaneously, autonomous robotic platforms such as drones and rovers have become valuable tools for remote sen
This work proposes a first-of-its-kind SLAM architecture fusing an event-based camera and a Frequency Modulated Continuous Wave (FMCW) radar for drone navigation. Each sensor is processed by a bio-inspired Spiking Neural Network (SNN) with continual Spike-Timing-Dependent Plasticity (STDP) learning,…
Drones are currently being explored for safety-critical applications where human agents are expected to evolve in their vicinity. In such applications, robust people avoidance must be provided by fusing a number of sensing modalities in order to avoid collisions. Currently however, people detection