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A Multi-Drone Multi-View Dataset and Deep Learning Framework for Pedestrian Detection and Tracking
A Multi-Drone Multi-View Dataset and Deep Learning Framework for Pedestrian Detection and Tracking
 Introduction of the MATRIX Dataset, featuring synchronized footage from eight drones in an urban environment with comprehensive annotations for detection and tracking, available at https://github.com/KostaDakic/MATRIX/tree/main
Resource-Efficient Multiview Perception: Integrating Semantic Masking with Masked Autoencoders
Resource-Efficient Multiview Perception: Integrating Semantic Masking with Masked Autoencoders
Supplementary material on our work on communication-efficient distributed multiview detection and tracking using masked autoencoders (MAEs). Link to the paper and supplementary material can be found at: https://kostadakic.github.io/mvmae/
On Delay Performance in Mega Satellite Networks with Inter-Satellite Links
On Delay Performance in Mega Satellite Networks with Inter-Satellite Links
Look into our research on Low Earth Orbit (LEO) satellite networks, where we delve into the challenges in utilizing Inter-Satellite Links (ISL) for lower delays and enhanced efficiency. Our paper focuses on the critical balance between minimizing delay and conserving power in LEO satellites.
Autonomous Wheelchair for Non-Ambulant Children with upper limb impairment
Autonomous Wheelchair for Non-Ambulant Children with upper limb impairment
My final year undergraduate was to develop an autonomous wheelchair intended for people with upper-body disabilities such as ALS, spinal cord injuries and other neurological conditions. The outcome of this project was an autonomous wheelchair using perception sensors which is capable of taking voice commands from a user and then automatically carrying its occupant to their desired location avoiding any obstacles along its path.
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