Autonomy, Learning, Information and Vision in the Earth System (ALIVE)

Key Applications include: 

  • Cooperative Autonomous Observing Systems (caos.mit.edu): A new class of autonomous field instruments using unmanned systems for mapping and monitoring. A key characteristic is that they operate in a system dynamics and optimation loop coupling model prediction, uncertainty quantification, estimation, sensing, planning and control. Some projects in this space are:
    • Coupled Physical Numerical Laboratories : Laboratories that couple models and data in the study of fluids. 
    • Simultaneous Localization and Mapping of Coherent Structures such as Plumes and Clouds
    • Wings Over Wildlife: Autnomous observatories of individuals and groups of animals in their ecosystems.
    • Dynamic Data Driven Autonomous Stratospheric Hurricane Observatory
       
  • Climate Risk and Intelligent Sustainability Platform (CRISP): Our interdisciplinary project develops methods for risk assessment (including uncertainty quantification), and mitigation. The approaches we take draw from statistical signal processing, physically-based models, machine learning and economics and have many other applications in   and site or basic specific risk assessment (windrisktech.com).
    • Statistical Physical Approach to Hurricane Risk
    • Smoothed Particle Hyrdodynamic approaches to downscale to infrastructure.
    • Decisions with Imprecise Probabilities
    • Flood hazard prediction

       

  • SLOOP research for animal biometricsBuilding an accurate ecological information system depends on an keep accurate inventory of individuals. We bring vision-based methods to individual animal identification, or Animal Biometrics. Sloop is one of the earliest, and remains one of the largest systems for individual identification. Among many firsts: adaptation of generic visual features into specific animal identification strategies; boosted retrieval and learning from relevance feedback using experts and crowds; large-scale conservation application. Other features include RESTful architecture, rapid-distributed closure, randomized representations, hybrid shape-context, and scale-cascaded deformation invariance. The techniques prompted by this work also have broad and exciting applications in Vision.
    • Wings Over Wildlife: Autnomous observatories of individuals and groups of animals in their ecosystems.
       
  • FLuid imaging eXperiments (flux.mit.edu):   Discover new techniques to image and understand fluid behavior in the laboratory and in the field.