MAVNet: an Effective Semantic Segmentation Micro-Network for MAV-based Tasks

• Main Authors: Nguyen, Ty, Shivakumar, Shreyas S, Miller, Ian D, Keller, James, Lee, Elijah S, Zhou, Alex, Ozaslan, Tolga, Loianno, Giuseppe, Harwood, Joseph H, Wozencraft, Jennifer, Taylor, Camillo J, Kumar, Vijay
• Format: Journal Article
• Language: English
• Published: 03.04.2019
• Subjects: Computer Science - Computer Vision and Pattern Recognition
• DOI: 10.48550/arxiv.1904.01795

Real-time semantic image segmentation on platforms subject to size, weight and power (SWaP) constraints is a key area of interest for air surveillance and inspection. In this work, we propose MAVNet: a small, light-weight, deep neural network for real-time semantic segmentation on micro Aerial Vehic...