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Full-Text Articles in Robotics
Panodepth – Panoramic Monocular Depth Perception Model And Framework, Adley K. Wong
Panodepth – Panoramic Monocular Depth Perception Model And Framework, Adley K. Wong
Master's Theses
Depth perception has become a heavily researched area as companies and researchers are striving towards the development of self-driving cars. Self-driving cars rely on perceiving the surrounding area, which heavily depends on technology capable of providing the system with depth perception capabilities. In this paper, we explore developing a single camera (monocular) depth prediction model that is trained on panoramic depth images. Our model makes novel use of transfer learning efficient encoder models, pre-training on a larger dataset of flat depth images, and optimizing the model for use with a Jetson Nano. Additionally, we present a training and optimization framework …
Real-Time External Labeling For Interactive Visualization In Virtual Environments, Shan Liu, Yuzhong Shen
Real-Time External Labeling For Interactive Visualization In Virtual Environments, Shan Liu, Yuzhong Shen
Modeling, Simulation and Visualization Student Capstone Conference
A real-time external labeling algorithm has been developed to explore the potential for applying annotation and visualization to virtual reality environments, which manages label placement in the projections of virtual 3D models on the view plane. The approach intends to place labels with visual constraints, such as no overlapping, intersections, and occlusions, close proximity to the model parts, by adjusting external annotations' positions concerning available space in the view plane. This algorithm is based on the projected model's contour and adapts to camera viewpoint changes within interactive frame rates. It solves the visibility problem of annotations and operates in real-time …