2010 - IEEE Fellow For contributions to perception systems for autonomous navigation of unmanned vehicles
2008 - IEEE Robotics & Automation Award “For contributions to robotics enabling effective autonomous operations of science investigations under extreme conditions on the planet Mars.”
His study in Computer stereo vision extends to Artificial intelligence with its themes. In his research, he undertakes multidisciplinary study on Computer stereo vision and Stereo camera. In his works, Larry Matthies performs multidisciplinary study on Stereo camera and Stereo cameras. In his works, he undertakes multidisciplinary study on Stereo cameras and Machine vision. Machine vision and Image processing are two areas of study in which he engages in interdisciplinary research. The study of Image processing is intertwined with the study of Image (mathematics) in a number of ways. Image (mathematics) is closely attributed to Depth map in his study. Larry Matthies undertakes multidisciplinary investigations into Depth map and Pixel in his work. Larry Matthies performs multidisciplinary studies into Pixel and Motion estimation in his work.
Larry Matthies conducts interdisciplinary study in the fields of Artificial intelligence and Human–computer interaction through his research. In his research, Larry Matthies undertakes multidisciplinary study on Human–computer interaction and Artificial intelligence. Many of his studies on Computer vision involve topics that are commonly interrelated, such as Filter (signal processing). Robot and Robotics are two areas of study in which Larry Matthies engages in interdisciplinary research. By researching both Robotics and Robot, Larry Matthies produces research that crosses academic boundaries. He merges many fields, such as Kalman filter and Extended Kalman filter, in his writings. Extended Kalman filter and Kalman filter are two areas of study in which he engages in interdisciplinary research. His research ties Computer vision and Image (mathematics) together. His research on Feature (linguistics) often connects related areas such as Linguistics.
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Kalman Filter-based Algorithms for Estimating Depth from Image Sequences
Larry Matthies;Richard Szeliski;Takeo Kanade.
International Journal of Computer Vision (1989)
Two years of Visual Odometry on the Mars Exploration Rovers
Mark W. Maimone;Yang Cheng;Larry H. Matthies.
Journal of Field Robotics (2007)
Error modeling in stereo navigation
L. Matthies;S. A. Shafer.
international conference on robotics and automation (1987)
Obstacle Detection and Terrain Classification for Autonomous Off-Road Navigation
R. Manduchi;A. Castano;A. Talukder;L. Matthies.
Autonomous Robots (2005)
Stereo vision and rover navigation software for planetary exploration
S.B. Goldberg;M.W. Maimone;L. Matthies.
ieee aerospace conference (2002)
Vision-Aided Inertial Navigation for Spacecraft Entry, Descent, and Landing
A.I. Mourikis;N. Trawny;S.I. Roumeliotis;A.E. Johnson.
IEEE Transactions on Robotics (2009)
Rover navigation using stereo ego-motion
Clark F. Olson;Larry H. Matthies;Marcel Schoppers;Mark W. Maimone.
Robotics and Autonomous Systems (2003)
Stereo vision for planetary rovers: stochastic modeling to near real-time implementation
International Journal of Computer Vision (1992)
Integration of sonar and stereo range data using a grid-based representation
L. Matthies;A. Elfes.
international conference on robotics and automation (1988)
First-Person Activity Recognition: What Are They Doing to Me?
Michael S. Ryoo;Larry Matthies.
computer vision and pattern recognition (2013)
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