Computer Vision
Computer vision uses computational methods to extract information from images and video.
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15 results for “Computer vision”
Also matched: machine learning, sensor fusionComputer vision uses computational methods to extract information from images and video.
Computational methods that extract information from images or video, including detection, tracking, segmentation and depth estimation.
Fei-Fei Li is a Stanford professor whose work includes computer vision and human-centered artificial intelligence.
The work studies closed-loop grasping learned from a large collection of robot interaction data.
Machine learning develops models whose behavior is fitted from data rather than specified only through fixed rules.
Sensor fusion combines measurements from multiple sensors to estimate a system or environment more reliably than a single stream alone.
Pieter Abbeel is a UC Berkeley professor working at the intersection of robotics and machine learning.
A set of methods that fit model behavior from data for tasks such as prediction, classification, perception or control.
LaserWeeder is a tractor-towed agricultural system that uses cameras, computer vision and lasers for targeted weed control.
Carbon Robotics develops computer-vision-guided agricultural equipment for weed control.
A sensor assembly that measures acceleration and angular motion, often using accelerometers and gyroscopes.
A sensing method that transmits radio waves and analyzes reflections to estimate properties such as range, direction or relative velocity.
The problem of estimating a system's location while building or updating a map of an initially uncertain environment.
Autonomous tractor using cameras and machine learning to perform bounded tillage work under remote monitoring.
Camera- and machine-learning-equipped spraying system that identifies crops and weeds for targeted application.