This paper presents a real-time method to detect and track multiple mobile ground robots using event cameras. The method uses density-based spatial clustering of applications with noise (DBSCAN) to detect the robots and a single k-dimensional (k − d) tree to accurately keep track of them as they move in an indoor arena.
To address the issue of dense processing, this paper introduces Sparse-E2VID, an architecture that processes data
in sparse format. With Sparse-E2VID, the inference time is reduced to 55 ms (at 720 × 1280 resolution), which is 30% faster than FireNet. Additionally, Sparse-E2VID reduces the computational cost by 98% compared to FireNet+, while also improving image quality.
Recap of all the major announcements, product launches, awards and recognition, press and more in the year 2024.
In this work, we address the power equipment vibration visualization using intelligent sensing method based on event-sensing principle. Vibration measurements can be used to evaluate the operation status of power equipment and are widely applied in equipment quality inspection and fault identification.
Ultraleap unveil world’s first development kit to combine Prophesee’s GENX320 event camera and advanced micro-gesture (via Helios SDK). A new era of interaction technology for smart glasses, enabling gesture control for content and applications.