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pro vyhledávání: '"Devarth Parikh"'
Using geometric landmarks like lines and planes can increase navigation accuracy and decrease map storage requirements compared to commonly-used LiDAR point cloud maps. However, landmark-based registration for applications like loop closure detection
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::703cfbcf91195c8ea568d154d86bcf99
http://arxiv.org/abs/2212.12745
http://arxiv.org/abs/2212.12745
Publikováno v:
2022 International Joint Conference on Neural Networks (IJCNN).
Simultaneous Direct Depth Estimation and Synthesis Stereo for Single Image Plant Root Reconstruction
Publikováno v:
IEEE Transactions on Image Processing. 30:4883-4893
Plant roots are the main conduit to its interaction with the physical and biological environment. A 3D root system architecture can provide fundamental and applied knowledge of a plant's ability to thrive, but the construction of 3D structures for th
Autor:
Subodh Mishra, Armin Parchami, Enrique Corona, Punarjay Chakravarty, Ankit Vora, Devarth Parikh, Gaurav Pandey
Publikováno v:
2022 International Conference on Robotics and Automation (ICRA).
This work presents a technique for localization of a smart infrastructure node, consisting of a fisheye camera, in a prior map. These cameras can detect objects that are outside the line of sight of the autonomous vehicles (AV) and send that informat
Publikováno v:
ICPR
Depth estimation is playing an important role in indoor and outdoor scene understanding, autonomous driving, augmented reality and many other tasks. Vehicles and robotics are able to use active illumination sensors such as LIDAR to receive high preci
Publikováno v:
GlobalSIP
We propose a method to estimate the 3D gaze of the observer onto the scene using a portable eye tracker with a monocular camera. We reconstruct the 3D scene using Structure from Motion (SfM) and use camera pose and 3D reconstruction information of th