首页|Investigators at Chongqing University Describe Findings in Field Robotics (Plpf- vslam: an Indoor Visual Slam With Adaptive Fusion of Point-line-plane Features)
Investigators at Chongqing University Describe Findings in Field Robotics (Plpf- vslam: an Indoor Visual Slam With Adaptive Fusion of Point-line-plane Features)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ro botics - Field Robotics. According to newsreporting out of Chongqing, People’s Republic of China, by NewsRx editors, research stated, “Simultaneouslocalizatio n and mapping (SLAM) is required in many areas and especially visual-based SLAM (VSLAM)due to the low cost and strong scene recognition capabilities convention al VSLAM relies primarily onfeatures of scenarios, such as point features, whic h can make mapping challenging in scenarios with sparsetexture. For instance, i n environments with limited (low-even non-) textures, such as certain indoors, conventional VSLAM may fail due to a lack of sufficient features.”
ChongqingPeople’s Republic of ChinaA siaField RoboticsRoboticsChongqing University
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