/Daniel Maturana

Daniel Maturana

Portrait of Daniel Maturana
PhD Student
Office: 2102 Newell-Simon Hall
Phone: (412) 268-7414
Advisor: Sebastian Scherer
Associated Center: FRC
Associated Lab: Air Lab

Mailing Address
Displaying 19 Publications
Real-Time Semantic Mapping for Autonomous Off-Road Navigation
Daniel Maturana, Po-Wei Chou, Masashi Uenoyama and Sebastian Scherer

Book Section/Chapter, In Field and Service Robotics, Springer Proceedings in Advanced Robotics, Vol. 5, pp. 335–350, January, 2018
Season-Invariant Semantic Segmentation with a Deep Multimodal Network
Dong-Ki Kim, Daniel Maturana, Masashi Uenoyama and Sebastian Scherer

Book Section/Chapter, In Field and Service Robotics, Springer Proceedings in Advanced Robotics, Vol. 5, pp. 255 – 270, January, 2018
Looking Forward: A Semantic Mapping System for Scouting with Micro-Aerial Vehicles
Daniel Maturana, Sankalp Arora and Sebastian Scherer

International Conference on Intelligent Robots and Systems (IROS), pp. 6691 – 6698, September, 2017
Real-time Semantic Mapping for Autonomous Off-Road Navigation
Daniel Maturana, Po-Wei Chou, Masashi Uenoyama and Sebastian Scherer

Conference Paper, Field and Service Robotics (FSR), September, 2017
Season-Invariant Semantic Segmentation with A Deep Multimodal Network
Dong-Ki Kim, Daniel Maturana, Masashi Uenoyama and Sebastian Scherer

Conference Paper, Field and Service Robotics, September, 2017
Wire Detection using Synthetic Data and Dilated Convolutional Networks for Unmanned Aerial Vehicles
Ratnesh Madaan, Daniel Maturana and Sebastian Scherer

Conference Paper, IEEE/RSJ International Conference on Intelligent Robots and Systems, September, 2017
Improving Stochastic Policy Gradients in Continuous Control with Deep Reinforcement Learning using the Beta Distribution
Po-Wei Chou, Daniel Maturana and Sebastian Scherer

Conference Paper, Thirty-fourth International Conference on Machine Learning (ICML), July, 2017
A system to create semantic maps using aerial imagery
Sankalp Arora, Geetesh Dubey, Daniel Maturana and Sebastian Scherer

Miscellaneous, Invention Disclosure 2017-141, January, 2017
Car Detection using Monocular Images for Aerial Applications
Daniel Maturana and Sebastian Scherer

Miscellaneous, Invention Disclosure 2017-069, January, 2017
Semantic Monocular Plane SLAM for Low-Texture Structured Environments
Michael Kaess, Daniel Maturana, Sebastian Scherer and Shichao Yang

Miscellaneous, Invention Disclosure 2017-065, January, 2017
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
Real-time 3D Scene Layout from a Single Image Using Convolutional Neural Networks
Shichao Yang, Daniel Maturana and Sebastian Scherer

Conference Paper, International Conference on Robotics and Automation (ICRA), pp. 2183 – 2189, May, 2016
Autonomous Semantic Exploration Using Unmanned Aerial Vehicles
Sankalp Arora, Geetesh Dubey, Sezal Jain, Daniel Maturana, Song Yu, Stephen Nuske and Sebastian Scherer

Conference Paper, In Workshop on Vision-based Control and Navigation of Small, Lightweight UAVs, October, 2015
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
VoxNet: A 3D Convolutional Neural Network for Real-Time Object Recognition
Daniel Maturana and Sebastian Scherer

Conference Paper, IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 922 – 928, September, 2015
Learning a Context-Dependent Switching Strategy for Robust Visual Odometry
Kristen Holtz, Daniel Maturana and Sebastian Scherer

Conference Paper, Field and Service Robotics, June, 2015
3D Convolutional Neural Networks for Landing Zone Detection from LiDAR
Daniel Maturana and Sebastian Scherer

Conference Paper, International Conference on Robotics and Automation, pp. 3471 – 3478, March, 2015
2018-10-05T10:21:34+00:00