/Micro Air Vehicle Scouts for Intelligent Semantic Mapping

Micro Air Vehicle Scouts for Intelligent Semantic Mapping

Portrait of Micro Air Vehicle Scouts for Intelligent Semantic Mapping
Head: Sebastian Scherer
Contact: Sebastian Scherer
Associated Lab: Air Lab
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Last Project Publication Year: 2016

The goal of this project is develop the next level of capability for a low-flying, map building MAV scout. The research will demonstrate rapid scouting in cluttered environments and acquire relevant semantically annotated maps.

Displaying 3 Publications
A Multi-Sensor Fusion MAV State Estimation from Long-Range Stereo, IMU, GPS and Barometric Sensors
Yu Song, Stephen T. Nuske and Sebastian Scherer

Journal Article, Sensors, Vol. 17, No. 11, December, 2016
Detecting cars in aerial photographs with a hierarchy of deconvolution nets
Satyaki Chakraborty, Daniel Maturana and Sebastian Scherer

Tech. Report, CMU-RI-TR-16-60, Robotics Institute, Carnegie Mellon University, November, 2016
Multi-Scale Convolutional Architecture for Semantic Segmentation
Aman Raj, Daniel Maturana and Sebastian Scherer

Tech. Report, CMU-RI-TR-15-21, Robotics Institute, Carnegie Mellon University, pp. 14, October, 2015

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2017-09-13T10:38:33-04:00