T
Thomas Sayre-McCord
Researcher at Massachusetts Institute of Technology
Publications - 10
Citations - 272
Thomas Sayre-McCord is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Trajectory & Robotics. The author has an hindex of 7, co-authored 9 publications receiving 189 citations. Previous affiliations of Thomas Sayre-McCord include Woods Hole Oceanographic Institution.
Papers
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Journal ArticleDOI
Multi-modal survey of Adélie penguin mega-colonies reveals the Danger Islands as a seabird hotspot.
Alex Borowicz,Philip McDowall,Casey Youngflesh,Thomas Sayre-McCord,Thomas Sayre-McCord,Gemma V. Clucas,Rachael Herman,Rachael Herman,Steven Forrest,Melissa Rider,Mathew R. Schwaller,Tom Hart,Stéphanie Jenouvrier,Stéphanie Jenouvrier,Michael J. Polito,Michael J. Polito,Hanumant Singh,Heather J. Lynch +17 more
TL;DR: The Danger Islands appear to have avoided recent declines documented on the Western AP and, because they are large and likely to remain an important hotspot for avian abundance under projected climate change, deserve special consideration in the negotiation and design of Marine Protected Areas in the region.
Proceedings ArticleDOI
The WHOI Jetyak: An autonomous surface vehicle for oceanographic research in shallow or dangerous waters
Peter Kimball,J. Bailey,Sarah B. Das,Rocky Geyer,Trevor Harrison,C. Kunz,Kevin Manganini,Kenneth D. Mankoff,Katie Samuelson,Thomas Sayre-McCord,Fiamma Straneo,Peter Traykovski,Hanumant Singh +12 more
TL;DR: The Woods Hole Oceanographic Institution Jetyak as mentioned in this paper is a small autonomous surface vehicle (ASV) designed for the collection of oceanographic data from shallow or dangerous waters, which is the result of custom modifications to a Mokai jet-powered kayak, including an A-frame and sea chest for installation of instrumentation.
Book ChapterDOI
The Blackbird Dataset: A Large-Scale Dataset for UAV Perception in Aggressive Flight
TL;DR: The Blackbird dataset as mentioned in this paper is a large-scale, aggressive indoor flight dataset collected using a custom-built quadrotor platform for use in evaluation of agile perception, which contains over 10 h of flight data from 168 flights over 17 flight trajectories and 5 environments at velocities up to 7.0 m.
Proceedings ArticleDOI
Visual-Inertial Navigation Algorithm Development Using Photorealistic Camera Simulation in the Loop
Thomas Sayre-McCord,Winter Guerra,Amado Antonini,Jasper Arneberg,Austin Brown,Guilherme Venturelli Cavalheiro,Yajun Fang,Alex Gorodetsky,Dave McCoy,Sebastian Quilter,Fabian Riether,Ezra Tal,Yunus Terzioglu,Luca Carlone,Sertac Karaman +14 more
TL;DR: A new micro UAV platform that integrates high-rate cameras, inertial sensors, and an NVIDIA Jetson Tegra X1 system-on-chip compute module that boasts 256 GPU cores is presented and repeated agile maneuvering with closed-loop vision-based perception and control algorithms are demonstrated.
Journal ArticleDOI
The Blackbird UAV dataset
TL;DR: The Blackbird UAV dataset is well suited to the development of algorithms for visual inertial navigation, 3D reconstruction, and depth estimation, and as a benchmark for future algorithms, the performance of two state-of-the-art visual odometry algorithms are reported and scripts for comparing against the benchmarks are included with the dataset.