3 papers
cs.CV2025
MobiAct: Efficient MAV Action Recognition Using MobileNetV4 with Contrastive Learning and Knowledge Distillation
Zhang Nengbo, Ho Hann Woei
Accurate and efficient recognition of Micro Air Vehicle (MAV) motion is essential for enabling real-time perception and coordination in autonomous aerial swarm. However, most exist…
cs.CV2025
MAVR-Net: Robust Multi-View Learning for MAV Action Recognition with Cross-View Attention
Nengbo Zhang, Hann Woei Ho
Recognizing the motion of Micro Aerial Vehicles (MAVs) is crucial for enabling cooperative perception and control in autonomous aerial swarms. Yet, vision-based recognition models…
cs.CV2025
MoCom: Motion-based Inter-MAV Visual Communication Using Event Vision and Spiking Neural Networks
Zhang Nengbo, Hann Woei Ho, Ye Zhou
Reliable communication in Micro Air Vehicle (MAV) swarms is challenging in environments, where conventional radio-based methods suffer from spectrum congestion, jamming, and high p…