首页|Researchers' Work from Chabahar Maritime University Focuses on Robotics and Arti ficial Intelligence (Visual place recognition from end-to-end semantic scene tex t features)
Researchers' Work from Chabahar Maritime University Focuses on Robotics and Arti ficial Intelligence (Visual place recognition from end-to-end semantic scene tex t features)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New study results on robotics and arti ficial intelligence have been published. According to news reporting from Chabah ar Maritime University by NewsRx journalists, research stated, "We live in a vis ual world where text cues are abundant in urban environments." The news editors obtained a quote from the research from Chabahar Maritime Unive rsity: "The premise for our work is for robots to capitalize on these text featu res for visual place recognition. A new technique is introduced that uses an end -to-end scene text detection and recognition technique to improve robot localiza tion and mapping through Visual Place Recognition (VPR). This technique addresse s several chAllenges such as arbitrary shaped text, illumination variation, and occlusion. The proposed model captures text strings and associated bounding boxe s specificAlly designed for VPR tasks. The primary contribution of this work is the utilization of an end-to-end scene text spotting framework that can effectiv ely capture irregular and occluded text in diverse environments."
Chabahar Maritime UniversityMachine Le arningRobotics and Artificial Intelligence
NETL
NSTL
