Vision and Mobile Robotics Laboratory | Projects
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Current Projects

Detecting and Using Object Boundaries - In this project, we explore ways to reliably detect occluding boundaries by incorporating motion cues in addition to appearance cues. We also explore different ways in which boundaries can be used in segmentation and category recognition.
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KIST Project - Coming soon.
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Geometrically Coherent Image Interpretation -The objective of this research project effort is, given a single image, to automatically produce a coherent interpretation of the depicted scene.
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Volumetric Features for Recognition in Video - This project explores the use of volumetric features for event detection in videos. Our method can detect action events in crowded videos without the need for figure-ground separation.
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Advanced Sensor Based Defect Management at Construction Sites - This research project builds on, combines and extends the advances in generating 3D environments using laser scanners.
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CTA Robotics - This project adresses the problems of scene interpretation and path planning for mobile robot navigation in natural environment.
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Former Projects

Exploitation of 3-D Data - The E3D project will develop technology to detect, characterize and recognize vehicular targets in 3-D data.
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Face Databases - Miscellaneous face databases collected at CMU.
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Face Detection - We are developing computer methods to automatically locate human faces in photos and video.
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Face Detection Databases - A collection of databases for training and testing face detectors.
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Informedia Digital Video Library - Informedia is pioneering new approaches for automated video and audio indexing, navigation, visualization, summarization search, and retrieval and embedding them in systems for use in education, health care, defense intelligence and understanding of human activity
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MARS 2020 - This project seeks to develop softwares needed to program autonomous mobile robots in partially known, changing, and unpredictable environments.
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Object Recognition Using Statistical Modeling - Automobile and human face detection via statistical modeling.
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Video Verification of Identity - We address the problem of tracking object in video sequences and of recognizing the tracked objects in subsequent sequences.
2D Recognition - Illumination-Invariant Affine Templates for Object Recognition
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3D Object Recognition - We are applying our techniques for surface representation and matching to object recognition problems; for example, we have used 3D object recognition as part of the Artisan system for interior mapping.
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3D Terrain Mapping - We are developing methods for building large-scale, topographic maps of unstructured outdoor environments.
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3D Vision for Autonomous Navigation - We are developing object representations built from range images that can be used in landmark recognition and object matching
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A Reactive System for Off-Road Autonomous Driving - We have developed an integrated obstacle avoidance system for on-road driving for avoiding discrete obstacles, or for off-road driving for avoiding untraversable regions of terrain
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A Spherical Representation for Recognition of 3-D Curved Objects - We are investigating a new approach for representing 3-D curved objects for recognition and modeling
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Ambler - We are developing the Ambler, a six-legged walking robot that addresses the challenges of exploring rugged terrains, acquiring samples, and avoiding dangerous
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Automatic 3D Modeling from Range Images - A system for generating 3D models of real-world objects without manual or mechanical aids.
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Cognitive Colonies - We are developing the basic principles that will best govern a group of robots trying to do useful work in difficult and hazardous environments.
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High Speed Laser Scanner -
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Humanoid Vision - We are adding visual recognition and navigation to Honda's humanoid robots
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Lunar Rover Initiative - first interactive space exploration event
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Medical Imaging - Analysis of sequences of microscope images for the recovery of significant events and mutations in cell development
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Model Building - Surface registration is applied to a variety of problems, including object modelling and mapping of large areas.
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Perception for Off-road Robotics - Perception for Off-road Robotics - The Perception for Off-road Robotics (PerceptOR) program will identify and develop revolutionary unmanned vehicle perception prototypes.
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Perception for Rock Sampling - We are developing a set of perception modules for extracting the potential samples from visual data, building models of their shapes, and using the models to pick up and store the sample.
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Position Estimation - We estimate the position of a robot based on the position of natural landmarks in images.
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Robotic All Terrain Lunar Exploration Rover - Ratler is a battery-powered, four-wheeled, skid-steered vehicle used as a testbed to develop the remote driving techniques needed for a lunar mission.
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Sonar Mapping for Underwater Vehicles - Elevation map refinement from bathymetric side-scan sonar images
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Tactical Mobile Robotics - As part of the DARPA Tactial Mobile Robotics program, we are developing techniques for semi-autonomous navigation of a small robot in urban environments.
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Terrain Classification - Using a multispectral camera, we classify terrain into categories such as grass, dirt, trees, and rock.
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Unmanned Ground Vehicles - Developing autonomous navigation capabilities for mobile robots driving in complex, unstructured outdoor terrain.
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The VMR Lab is part of the Vision and Autonomous Systems Center within the Robotics Institute in the School of Computer Science, Carnegie Mellon University.