2023 IEEE International Symposium on Circuits and Systems (ISCAS) 2023
DOI: 10.1109/iscas46773.2023.10181715
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MLAE2: Metareasoning for Latency-Aware Energy-Efficient Autonomous Nano-Drones

Abstract: Safety, low-cost, small size, and Artificial Intelligence (AI) capabilities of drones have led to the proliferation of autonomous tiny Unmanned Aerial Vehicles (UAVs) in many applications which are dangerous, unknown, or time-consuming for humans. Deep Neural Networks (DNNs) have enabled autonomous navigation while using captured data by drone sensors as input to the model. Due to the extreme complexity of DNNs, cloud-based approaches have been highly addressed in which a drone is connected to the cloud and se… Show more

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Cited by 7 publications
(1 citation statement)
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“…Meta-reasoning occurs whenever an algorithm adjusts the agent's decision-making process based on its current situation [5], [6]. As a result the agent, in this case, a drone, can dynamically switch between different algorithms while considering its power consumption, latency constraints, and model accuracy metrics.…”
mentioning
confidence: 99%
“…Meta-reasoning occurs whenever an algorithm adjusts the agent's decision-making process based on its current situation [5], [6]. As a result the agent, in this case, a drone, can dynamically switch between different algorithms while considering its power consumption, latency constraints, and model accuracy metrics.…”
mentioning
confidence: 99%