5 papers
Privacy-preserving fall detection at the edge using Sony IMX636 event-based vision sensor and Intel Loihi 2 neuromorphic processor
Lyes Khacef, Philipp Weidel, Susumu Hogyoku +8
Fall detection for elderly care using non-invasive vision-based systems remains an important yet unsolved problem. Driven by strict privacy requirements, inference must run at the…
TDE-3: An improved prior for optical flow computation in spiking neural networks
Matthew Yedutenko, Federico Paredes-Valles, Lyes Khacef +1
Motion detection is a primary task required for robotic systems to perceive and navigate in their environment. Proposed in the literature bioinspired neuromorphic Time-Difference E…
RGB-Event Fusion with Self-Attention for Collision Prediction
Pietro Bonazzi, Christian Vogt, Michael Jost +4
Ensuring robust and real-time obstacle avoidance is critical for the safe operation of autonomous robots in dynamic, real-world environments. This paper proposes a neural network f…
Towards Low-Latency Event-based Obstacle Avoidance on a FPGA-Drone
Pietro Bonazzi, Christian Vogt, Michael Jost +3
This work quantitatively evaluates the performance of event-based vision systems (EVS) against conventional RGB-based models for action prediction in collision avoidance on an FPGA…
Contemplating a Lightweight Communication Interface for Asynchronous Many-Task Systems
Jiakun Yan, Marc Snir
Asynchronous Many-Task Systems (AMTs) exhibit different communication patterns from traditional High-Performance Computing (HPC) applications, characterized by asynchrony, concurre…