Abstract Birds are very valuable indicators of species richness and endemic patterns in a specified ecosystem, which eventually help the scientist to measure the environmental degradation.The aim of present study was to know human knowledge and attitude toward urban birds in Faisalabad city, Pakistan.The study conducted in four consecutive months:

Due to the development of the computer vision, machine learning, and deep learning mpu63zm/a technologies, the research community focuses not only on the traditional SLAM problems, such as geometric mapping and localization, but also on semantic SLAM.In this paper, we propose a Semantic SLAM system which builds the semantic maps with object-level e

Abstract Background There is close cooperation between higher vocational colleges and enterprises.Thus, higher vocational college students attach great importance to the internship experience in enterprises during their study period.They need to have more interaction and communication with school teachers, classmates and enterprise staffs, etc.Thei

SLAM is regarded as a fundamental task in mobile robots and AR, implementing localization and mapping in certain circumstances.However, with only RGB images as input, monocular SLAM systems suffer problems of scale ambiguity and tracking difficulty in dynamic scenes.Moreover, high-level semantic information can always contribute to the SLAM process