D-Index & Metrics Best Publications

Larry Matthies

Jet Propulsion Lab
United States

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name Citations Publications World Ranking National Ranking

Computer Science D-index 69 Citations 15,749 255 World Ranking 1252 National Ranking 718

Research.com Recognitions

Awards & Achievements

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.”

Overview

What is he best known for?

The fields of study Larry Matthies is best known for:

Computer vision
Visual odometry
Pixel

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.

His most cited work include:

Kalman filter-based algorithms for estimating depth from image sequences (641 citations)
Stereo vision for planetary rovers: Stochastic modeling to near real-time implementation (244 citations)
Computer Vision on Mars (152 citations)

What are the main themes of his work throughout his whole career to date

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.

Larry Matthies most often published in these fields:

Artificial intelligence (100.00%)
Computer vision (84.21%)
Robot (47.37%)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Kalman Filter-based Algorithms for Estimating Depth from Image Sequences

Larry Matthies;Richard Szeliski;Takeo Kanade.
International Journal of Computer Vision (1989)

1065 Citations

Two years of Visual Odometry on the Mars Exploration Rovers

Mark W. Maimone;Yang Cheng;Larry H. Matthies.
Journal of Field Robotics (2007)

858 Citations

Error modeling in stereo navigation

L. Matthies;S. A. Shafer.
international conference on robotics and automation (1987)

778 Citations

Obstacle Detection and Terrain Classification for Autonomous Off-Road Navigation

R. Manduchi;A. Castano;A. Talukder;L. Matthies.
Autonomous Robots (2005)

628 Citations

Stereo vision and rover navigation software for planetary exploration

S.B. Goldberg;M.W. Maimone;L. Matthies.
ieee aerospace conference (2002)

556 Citations

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)

384 Citations

Rover navigation using stereo ego-motion

Clark F. Olson;Larry H. Matthies;Marcel Schoppers;Mark W. Maimone.
Robotics and Autonomous Systems (2003)

367 Citations

Stereo vision for planetary rovers: stochastic modeling to near real-time implementation

Larry Matthies.
International Journal of Computer Vision (1992)

360 Citations

Integration of sonar and stereo range data using a grid-based representation

L. Matthies;A. Elfes.
international conference on robotics and automation (1988)

315 Citations

First-Person Activity Recognition: What Are They Doing to Me?

Michael S. Ryoo;Larry Matthies.
computer vision and pattern recognition (2013)

310 Citations

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