This article presents a new approach to mobile robot vision based on genetic algorithms. The major contribution of this proposal is the real-time adaptation ...
This article presents a new approach to mobile robot vision based on genetic algorithms. The major contribution of this proposal is the real-time adaptation of ...
This article presents a new approach to mobile robot vision based on genetic algorithms. The major contribution of this proposal is the real-time adaptation ...
A new approach to mobile robot vision based on genetic algorithms that detects and estimates distance and orientation to key elements on a football field, ...
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Apr 12, 2015 · Genetic algorithms are a model for the natural process of selection for fitness. Start with a description of the “genes" for solutions to your ...
This work describes a technique for using genetic algorithms to combine the image segmentation and object recogni- tion steps for a complex scene.
In this proposed work, the moving object is localized using curvelet transform, soft thresholding and frame differencing. The feature extraction techniques ...
Apr 25, 2024 · This paper introduces Triple-Metric EvoAttack (TM-EVO), an efficient algorithm for evaluating the robustness of object-detection. DL models ...
YOLO Object Detection Explained: A Beginner's Guide | DataCamp
www.datacamp.com › Blog › Data Science
YOLO is a state-of-the-art, real-time object detection algorithm introduced in 2015 by Joseph Redmon, Santosh Divvala, Ross Girshick, and Ali Farhadi.
This article presents a new approach to mobile robot vision based on genetic algorithms. The major contribution of this proposal is the real-time adaptation ...