Výsledky vyhledávání - "Lohani, Bharat"

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Toward Physics-Aware Deep Learning Architectures for LiDAR Intensity Simulation

Autor: Anand, Vivek, Lohani, Bharat, Pandey, Gaurav, Mishra, Rakesh

Autonomous vehicles (AVs) heavily rely on LiDAR perception for environment understanding and navigation. LiDAR intensity provides valuable information about the reflected laser signals and plays a crucial role in enhancing the perception capabilities

Externí odkaz: http://arxiv.org/abs/2404.15774

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pCTFusion: Point Convolution-Transformer Fusion with Semantic Aware Loss for Outdoor LiDAR Point Cloud Segmentation

Autor: Kuriyal, Abhishek, Kumar, Vaibhav, Lohani, Bharat

LiDAR-generated point clouds are crucial for perceiving outdoor environments. The segmentation of point clouds is also essential for many applications. Previous research has focused on using self-attention and convolution (local attention) mechanisms

Externí odkaz: http://arxiv.org/abs/2307.14777

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Benchmarking Deep Learning Architectures for Urban Vegetation Point Cloud Semantic Segmentation from MLS

Autor: Aditya, Aditya, Lohani, Bharat, Aryal, Jagannath, Winter, Stephan

Publikováno v: in IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-14, 2024

Vegetation is crucial for sustainable and resilient cities providing various ecosystem services and well-being of humans. However, vegetation is under critical stress with rapid urbanization and expanding infrastructure footprints. Consequently, mapp

Externí odkaz: http://arxiv.org/abs/2306.10274

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Akademický článek

Benchmarking Geometry-Based Leaf-Filtering Algorithms for Tree Volume Estimation Using Terrestrial LiDAR Scanners.

Autor: Ali, Moonis¹ (AUTHOR) moonisali20@iitk.ac.in, Lohani, Bharat¹ (AUTHOR) blohani@iitk.ac.in, Hollaus, Markus² (AUTHOR) markus.hollaus@geo.tuwien.ac.at, Pfeifer, Norbert² (AUTHOR)

Publikováno v: Remote Sensing. Mar2024, Vol. 16 Issue 6, p1021. 28p.